What Jobs are available for Scientific Research & Development in Columbus?

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
Are you an architect of interconnected data, driven by the belief that relationships hold the key to uncovering society's most complex challenges? Do you see medical records not just as disparate facts, but as a vast, dynamic network of patient journeys, disease progressions, and treatment efficacy? Highmark Health is seeking a groundbreaking Lead Data Scientist, Research & Development, specializing in Graph Intelligence, who will not just work with graph data, but will define the future of how we harness relational insights in healthcare.
This is a premier R&D position where you will lead the charge in inventing and proving out transformative graph-native analytical solutions. Your core mission is to push the boundaries of what's possible in advanced analytics by pioneering novel methodologies that leverage network science, knowledge graphs, and Graph Machine Learning (GML) to solve critical problems across the healthcare continuum. From personalizing patient care pathways to detecting complex fraud rings and understanding population health dynamics, your work will directly impact millions of lives.
As our Lead Graph Intelligence specialist, you will be the spearhead of cutting-edge research projects. This means deeply engaging with graph theory, building and enriching large-scale knowledge graphs, and developing next-generation Graph Neural Networks (GNNs), graph convolutional networks (GCNs), graph attention networks (GATs), and other advanced network algorithms. You'll architect unique graph embeddings, perform sophisticated link prediction, community detection, and anomaly detection on complex healthcare data. Your responsibilities will include designing rigorous experiments, building robust proof-of-concept models, and meticulously evaluating the performance and interpretability of these novel graph algorithms to ensure their real-world applicability.
You are not merely a data scientist; you are a relational data innovator with a strategic mindset. You inherently understand that the explicit modeling of entities and their relationships unlocks a deeper layer of intelligence that traditional tabular or sequential data models cannot. You will proactively identify opportunities to construct and leverage comprehensive healthcare knowledge graphs, integrating diverse patient, provider, claims, and clinical data to uncover hidden patterns, propagate insights through networks, and develop groundbreaking analytical solutions that exploit the rich, multi-modal structures within healthcare.
Leveraging your profound expertise in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune, Ontotext GraphDB), distributed graph processing frameworks (e.g., Apache Spark GraphX, Dask-Graph), and leading GML libraries (e.g., PyTorch Geometric, DGL, Spektral), you will conduct in-depth research, construct sophisticated predictive, prescriptive, and diagnostic models directly on graph structures. You will drive initiatives from theoretical concept to validated, scalable prototypes. You are a vigilant scout of the graph AI landscape, continuously scanning, rigorously evaluating, and championing the adoption of emerging graph platforms, algorithms, and tools. Furthermore, you will actively foster collaborations with leading academic institutions, healthcare research experts, and the broader graph community. Your contributions will extend to publishing seminal research findings in top-tier conferences and leading the dialogue on the transformative power of graph intelligence in healthcare.
**ESSENTIAL RESPONSIBILITIES**
+ Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for:
+ Outlining complex new use cases + creating high level impact estimates.
+ Identifying data elements needed and where to get them (including proxies).
+ Assembling data sets independently using knowledge of Highmark operational and analytic data structures.
+ Delivering the analytical solution to several complex business problems simultaneously.
+ Documenting objectives, assumptions and processes and enriching/expanding our standards as needed
+ Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires: Proficiency of a substantial number of advanced analytical techniques and mastery of a few, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing)
+ Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will include: Written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications for a broad range of audiences, the analyses performed, and how the results link directly back to business objectives, and lead implementation which drives frontline workflow.
+ Plan, prepare and deliver/coordinate all elements of several analyses largely independently in such a way that it is delivered on time, to a high standard and ready to implement on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly).
+ Expertise and in-depth understanding of subject, be the face of major projects within ED&A, external presence/earned credibility (conferences, white papers, local/national associations); mentoring/teaching others
+ Other duties as assigned or requested.
**EDUCATION**
**Required**
+ Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field **OR** Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree
**Preferred**
+ Doctoral degree (Ph.D.) in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or a related field.
**EXPERIENCE**
**Required**
+ 5 years of Data Science
+ 3 years Data Science (if PhD Education)
**Preferred**
+ **Deep Expertise in Graph Theory & Network Science:** Comprehensive understanding of fundamental graph algorithms (centrality, community detection, pathfinding, clustering), knowledge graph principles, and network analysis techniques for complex systems.
+ **Advanced Graph Machine Learning (GML):** Proven experience designing, implementing, and optimizing various Graph Neural Network (GNN) architectures, graph convolutional networks, and other graph-specific machine learning models for tasks like node classification, link prediction, and anomaly detection in graphs.
+ **Knowledge Graph Engineering:** Hands-on experience in the entire lifecycle of knowledge graphs, including schema design (ontologies, RDF, OWL), data ingestion, graph construction, data cleaning, entity resolution, and advanced graph querying (e.g., Cypher, SPARQL).
+ **Graph Database & Platform Experience:** Practical experience with one or more leading graph databases (e.g., Neo4j, Google Spanner Graph) and distributed graph processing frameworks.
+ **GML Libraries & Frameworks:** Strong command of specialized GML libraries like PyTorch Geometric (PyG), Deep Graph Library (DGL), Spektral, or StellarGraph.
+ **Cloud Platform & MLOps:** Experience deploying and managing ML models, particularly GML pipelines, in cloud environments (e.g., AWS, Azure, GCP) and familiarity with MLOps principles for research projects.
+ **Research & Publication Acumen:** A track record of contributing to cutting-edge research, including peer-reviewed publications in top-tier conferences or demonstrated experience in driving novel solution development from concept to prototype.
+ **Healthcare Data Familiarity:** Understanding of healthcare data domains (claims, clinical, EMR) and related ontologies or standards (e.g., SNOMED CT, ICD) is a significant plus.
+ **Experimental Design & Rigor:** Demonstrated ability to design robust experiments, rigorously evaluate model performance, interpret complex results, and contribute to the scientific understanding of graph-based solutions.
**LICENSES OR CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ None
**SKILLS**
+ Analysis of business problems/needs
+ Analytical and Logical Reasoning/Thinking
+ Collaborative Problem Solving
+ Data Analysis with SQL, BigQuery
+ Statistical Analysis with Python, R
+ Written & Oral Presentation Skills
+ Basic proto-typing/front end skills
**Language (other than English)**
None
**Travel Required**
0% - 25&
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based
Teaches / trains others regularly
Occasionally
Travel regularly from the office to various work sites or from site-to-site
Never
Works primarily out-of-the office selling products/services (sales employees)
Never
Physical work site required
No
Lifting: up to 10 pounds
Frequently
Lifting: 10 to 25 pounds
Occasionally
Lifting: 25 to 50 pounds
Rarely
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement:_** _This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$108,000.00
**Pay Range Maximum:**
$201,800.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
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Req ID: J

Senior Data Scientist, Specialist Senior - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific, a Deloitte Business, is a U.S. based, data science consulting firm specializing in building industry-specific, artificial intelligence (AI) technologies.
We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.
Recruiting for this role ends on 11/30/2025.
Work You'll Do
As a Senior Data Scientist at SFL Scientific, a Deloitte Business, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills.
+ Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
+ Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
+ Research and implement novel machine learning approaches, including advancing state of the art training, solution design, network design, and hardware optimization
+ Validate AI models and algorithm via code reviews, unit, and integration tests
+ Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
+ Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications:
+ Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.)
+ 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
+ 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
+ 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
+ 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred:
+ 2+ years of experience working in a client-facing, consulting environment
+ 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
+ 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
+ 1+ year of experience with AWS Sagemaker or AWS ML Studio
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,600 to $198,400.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Data Science Manager, Healthcare & Life Sciences - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.
We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.
Recruiting for this role ends on 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred Qualifications:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions for healthcare or life sciences
+ Experience in a client-facing role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

**Job Description Summary** **Job Description** **Role Summary/Purpose** As a Clinical Scientist, you will distinguish yourself through research collaboration within this Molecular Imaging technology. In close partnership with a PET and SPECT clinical and academic research partner - as well as GE HealthCare (GEHC) colleagues - you will be responsible for exploring, developing, and validating advanced imaging use and applications, ultimately expanding the translational impact of technology solutions in clinical practice to provide precision healthcare across the globe. **Essential Responsibilities** + Support large academic institution in the Great Lakes region in highly collaborative PET and SPECT clinical research with radiologists, physicists, technologists, and specialists. + Closely connect with GEHC global modality clinical and R&D teams, explore unmet clinical and technical needs with external collaborators identifying new research needs and building evidence. + Maintain and grow collaborator networks increasing connections between sites, driving insights into GEHC roadmap planning, and partnering with other functions (marketing, engineering, regulatory) for appropriate utilization of GE results. + Grow mindshare through joint scientific publications in peer-reviewed journals. + Provide support in pre- and post-market evidence generation, working with Research and Scientific Affairs to optimize collaborations and approach tied to GE product development needs and aligned institution interests. + Study new technology concepts and leverage expertise to move initiatives forward. + Assist in maturing evidence portfolio (writing journal publications/summary articles, technical documents, clinical marketing/training collaterals) and identifying unique opportunities for partnership (contributing to letters of support, research proposals, supporting identified grant submissions). + Drive adoption of new technology or clinical applications through advocacy and evidence. + Participate in presentations and scanner demonstrations regarding use of products for the institution's research purposes. + Support GEHC cross functional teams in providing educational services and training in response to academic site inquiries, serving as a technical product expert and prioritizing feedback. + Continuously grow clinical and technical expertise which may include participation in local or global congresses, mentoring, giving talks in small group or congress setting, connecting with other scientists, attending training, participating in internal development meetings, and staying abreast of new literature. **Qualifications/Requirements** + PhD plus 5 years' work experience in Physics, Chemistry, Life Sciences, Computer Science, Biomedical/Electrical/Software Engineering, or related field. + 3+ years of experience in medical imaging or closely related field, especially with expertise in PET or SPECT + Demonstrated record of innovation and development. + Excellent written and verbal communication skills. + Demonstrated clear thinking and problem-solving abilities and able to quickly grasp new ideas. + Self-starter, able to work independently and collaboratively, results oriented, able to multi-task. + Flexible, intellectually curious, and able to work with cross-functional, global teams. + Ability to work dynamically including from customer location, remote office, hospital or clinical site, and with ability to travel (<50%). + Adherence to practices related to Quality, Compliance, and Continuous Improvement + Focused experience in a specific clinical environment (e.g. radiology or cardiology department) including first authored peer reviewed articles + Familiarity with GE Imaging Systems and research on those systems. **Desired Characteristics** + Post Doc work in an engineering or science field such as Electrical Engineering, Biomedical Engineering, Computer Science, Applied Math or Physics, or equivalent focused in PET or SPECT + Proven customer relationship management and collaboration skills. + Experience in image reconstruction, analysis, and post-processing + Programming experience (e.g. in C/C++, Matlab) + Experience with academic and/or clinical research collaborations + Training in Good Clinical Practice (GCP), familiarity with and demonstrated practice of privacy, patient privacy, data controls GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. **Relocation Assistance Provided:** Yes

We Are:
Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise , we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at:  .
As a Go-To-Market Lead, you will play a pivotal role in driving Accenture Song's growth by identifying new opportunities, nurturing client relationships, and expanding our portfolio of digital design projects. You'll serve as both a strategist and a connector-translating client needs into meaningful engagements for the Design team while positioning Accenture Song as a trusted, potentially long-term partner.
Key Responsibilities:
· Develop and execute business development strategies to achieve revenue targets and market growth.
· Identify, research, and pursue new client opportunities across industries.
· Build and maintain strong relationships with prospective and existing clients.
· Collaborate with design, strategy, account, and delivery teams to craft compelling proposals and pitches.
· Lead end-to-end sales cycles-from prospecting to negotiation and contract closure.
· Monitor industry trends and competitive activity to refine business development approaches.
· Maintain accurate forecasting and pipeline tracking using CRM tools
Basic Qualifications:
· 5+ years of experience in business development, sales, or client partnerships-preferably in digital design, creative services, or technology consulting.
Preferred Qualifications:
· Proven track record of securing and growing client accounts.
· Strong communication, presentation, and negotiation skills.
· Ability to translate complex digital design offerings into client-focused solutions.
· Familiarity with design thinking, user experience, and digital product development
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Annual Salary Range
California $132,500 to $71,000
Cleveland 122,700 to 216,800
Colorado 132,500 to 234,100
District of Columbia 141,100 to 249,300
Illinois 122,700 to 234,100
Maryland 132,500 to 234,100
Massachusetts 132,500 to 249,300
Minnesota 132,500 to 234,100
New York/New Jersey 122,700 to 271,000
Washington 141,100 to 249,300
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
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Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
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The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

**Job Description**
**Work Arrangement**
**Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**The Role**
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.
As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.
**What You'll Do (Responsibilities)**
+ Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework
+ Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results
+ Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance
+ Assess bias estimation and subsampling strategies used by system engineering
+ Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework
+ Conduct statistical analysis to evaluate ADS driving software aggregate measures
+ Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements
+ Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations
+ Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally
**This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate**
**Your Skills & Abilities (Required Qualifications)**
+ M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
+ Expertise in statistical modeling, machine learning and/or deep learning techniques
+ Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods
+ Expertise generating insights from multiple large-scale datasets
+ Proficiency in SQL and Python
+ Experience with data visualization tools and techniques
+ Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
+ Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
**What Will Give You a Competitive Edge** **(Preferred Qualifications)**
+ PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ Experience in safety, automotive, or robotics data science is preferred
**Compensation:**
+ The expected base compensation for this role is $160,200- $245,400 USD Annually
+ Actual base compensation within the identified range will vary based on factors relevant to the position
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Job Description**
As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.
Career Level - IC4
**Responsibilities**
**Responsibilities**
+ Collaborate with product managers to translate business and product requirements into AI projects.
+ Can balance research exploration with engineering implementation
+ Develop and implement novel fine-tuning techniques using synthetic data generation and advanced training pipelines
+ Create and maintain evaluation frameworks to measure alignment properties in models
+ Develop processes to help automate and scale the work of the team
+ Care about code quality, testing, and performance
+ Have strong systems design and communication skills
**Qualifications And Experience**
+ Experience with continuous learning / parameter efficient finetuning approaches and reinforcement learning.
+ Experience with frameworks such as JAX and Pytorch
+ Experience with LLM agent designs.
+ Experience with synthetic data generation
+ Experience with virtualization and sandboxed code execution environments
+ Experience with Kubernetes
**Education**
+ Have an MS/PhD in Computer Science, ML, or related field, or equivalent experience
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Overview**
Kimley-Horn has a challenging and rewarding opportunity for a motivated Project Manager to help lead the Environmental Services team in Columbus, Ohio. This individual will have an entrepreneurial spirit and create a vision for growth for a small, but talented and growing, Environmental Services practice.
Ideal candidates will have knowledge and experience in one or more of the following: environmental process, NEPA environmental document preparation, stream/wetland delineation, protected species assessments, waterway permitting, field investigations, agency coordination, regulatory compliance and reporting, public engagement/involvement, and other specialties.
**Responsibilities**
**Leadership Responsibilities Include:**
+ Lead an environmental team while building and managing relationships with key clients.
+ Promote the growth of the local environmental team and mentor existing environmental staff.
+ Support other practices in the office and region to deliver environmental-focus work
+ Operate with integrity and sound business principles.
+ Provide practice vision, business planning and strategy, establishing goals, building, and maintaining positive client relationships.
+ Open communication with partners and team, along with growing and directing an Environmental Services practice.
+ Manage projects profitably, transition work to qualified staff, help recruit, and be a positive role model.
**Management responsibilities include but are not limited to:**
+ Meeting or exceeding client expectations.
+ Identifying and tracking leads.
+ Making presentations, writing proposals and scopes of work.
+ Establish budgets, ensuring quality and timeliness of deliverables, and supervising the execution of work.
+ Accounting, administrative, marketing, recruiting, IT and production support will be provided.
+ Manage project teams consisting of other environmental and engineering professionals of varying experience levels.
**Qualifications**
+ Bachelors (BS) or Masters (MS) in the Life Sciences, Environmental Science, Environmental Policy, Transportation Planning, Urban Planning, Engineering, or related degree.
+ 5 or more years of relevant experience managing environmental tasks/projects
+ Relevant professional certifications (AICP, PWS, CPESC, etc.) are desirable, but not required
+ Client contacts and relationships with local, regional, or state agencies.
+ Business development skills and the proven ability to win work.
+ Experience with NEPA processes.
+ Experience in natural resources assessments and field investigations, including preparation of wetlands/waters delineation reports.
+ Experience with environmental permitting rules and regulations.
+ Experience with geographic information systems (GIS), specifically ArcGIS and/or CAD.
+ Experience writing proposals, scopes of work, and budgets for projected work.
+ Ability to effectively communicate at all levels of the organization.
+ Ability to manage & mentor staff, and direct resources effectively in a positive manner.
+ Demonstrated ability to manage projects profitably.
**Salary Range:**
+ $85,000 - $115,000
+ Eligible for Performance Based Compensation
**Why Kimley-Horn?**
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it- that's why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn's placement on the Fortune "100 Best Companies to Work" list for 18 years!
_Key Benefits at Kimley-Horn_
+ Exceptional Retirement Plan: 2-to1- company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
+ Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
+ Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
+ Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
+ Professional Development: Tuition reimbursement and extensive internal training programs.
+ Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.
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_Applications are being accepted on an ongoing basis; however, this job posting may close at any time after a minimum of 3 days of being posted._
PleaseCLICK HERE ( to learn more about the potential Benefits you may be eligible to receive with this role.
If you require an accommodation, pleaseCLICK HERE. ( must be legally authorized to work for Kimley-Horn in the U.S. without employer sponsorship. We do not typically sponsor H1-B or any other work visa petitions.**
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
**Posted Date** _2 months ago_ _(9/11/ :45 PM)_
**_ID_** _ _
**_Education_** _Bachelor's Degree_
**_Discipline/Focus_** _Environmental_

We are already on the hunt for interns to join our offices across North America for the summer 2026! We anticipate a 2026 cohort of 700+ interns who will be fully emersed in our business and assist our teams with work that greatly impacts our clients.
As an Intern with Jacobs you'll impact the world around you by helping us solve real-life challenges. YOU are the future of our company. We'll rely on you to provide support to our teams on critical projects while fostering a culture of continuous learning and inclusion as you bring fresh ideas to the table. You'll work alongside professional engineers, scientists, and designers, gaining exposure to project coordination, relevant computer-assisted engineering software, data collection and so much more.
Pave the way for your career with a company that inspires and empowers you to deliver your best work so you can evolve, grow and succeed - today and into tomorrow.
**This requisition is being posted to create a talent pipeline for our fall recruiting events. This is a great starting point to get your resume into the Jacobs pipeline but please be sure to apply to all intern positions for specific locations/specialties that align with your career interests. This position will not be filled as it is not related to one specific need but rather a candidate pool that can be reviewed by recruiters for future hiring needs.
* Currently enrolled in a degree seeking program for Engineering, Environmental Science, Geology, Architecture, Construction Management or another closely related field.
* Authorization to work in the United States without the need for visa sponsorship, now or in the future
Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.