4,400 Clinical Data jobs in the United States
Clinical Trials - Clinical Data Associate
Posted 2 days ago
Job Viewed
Job Description
At Lilly, we serve an extraordinary purpose. For more than 140 years, we have worked tirelessly to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world's greatest health challenges.
***Please note, this is a hybrid position 3 days onsite/2 days remote***
**Purpose:**
This role is responsible for trial level clinical data strategy including database structure, content and meaning, acquisition, storage, retrieval, interchange, delivery and representation. This requires an in depth understanding of data collection, data flow management, data quality, data technology, dataset delivery, archiving and data standards. This role will collaborate with key study partners to define, implement, and deliver clinical data management packages. This role is responsible for providing trial leadership and ownership for a particular trial, set of trials, or programs.
**Primary Responsibilities:**
**Portfolio Strategy, Planning and Delivery**
+ Define Lilly business requirements for the study/program for vendors to deliver
+ Ensure that data management timeline and results are delivered to scope, cost, and time objectives
+ Perform project monitoring and quality oversight of sourcing providers for end-to-end data management activities - from study set up through trial execution through dataset delivery
+ Ensure vendor performance for the program-level flow of data, including across niche vendors and niche data sources (pharmacokinetic, immunogenicity, biomarker)
+ Drives data flow design through consultation, review, and approval of vendor work. Ensures the data flow design is aligned with the project hypothesis
+ Approve key outputs and results (i.e. Data Quality Delivery Plan, Data lock Plan, Project Plan, database, and observed datasets)
+ Define and approve data quality and submission outputs and results
**Project Management**
+ Ensure that data acquisition, database design, and observed dataset requirements are reflective of specific protocol objectives
+ Specifies the data collection tools and technology platforms for the trial/program
+ Drive standards decisions, implementation and compliance for the study/program
+ Help create scope scenarios and negotiate outcomes with study teams while taking into account the cost and value of scenarios
+ Facilitate/assimilate integration of disparate data sources into datasets for decision making
+ Use therapeutic knowledge and possess a deep understanding of the technology used to review data to ensure database deliverables are consistent and accurate
+ Effectively apply knowledge of applicable internal, external and regulatory requirements/expectations (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy knowledge, etc.) to data deliverables
**Communication**
+ Act as primary communication point for all data management activities related to a clinical study.
+ Report out status of data management milestones and data quality.
+ Partner with external data vendors: understand specifications to import multiple types of data, work with technical groups to ensure timely loads of external data sets into the sponsor's database.
+ Demonstrate excellent written and verbal communication skills, including the ability to represent the Data and Analytics organization and influence stakeholders to drive data-driven decisions.
+ Partner with cross-functional team members to ensure trial success through robust oversight/review.
**Process Improvement**
+ Continually seek and implement means of improving processes to reduce cycle time and decrease work effort
+ Represent data sciences' processes in multi-functional initiatives.
+ Actively engage in shared learning across the Data and Analytics organization.
+ Work with partners to increase vendor/partner efficiencies
**Minimum Qualification Requirements:**
+ Master's degree in a scientific field such as Informatics/Analytics, Life Sciences, Statistics, Information Technology, Epidemiology, Computer Sciences (or Bachelor's degree plus 3 or more years of experience in clinical data management or areas that closely intersect with clinical data management e.g., statistics, data analytics, information technology, health outcomes, etc.)
**Other** **Information/Additional** **Preferences:**
+ Demonstrated ability to set and implement plans to improve complex clinical data management processes and capabilities
+ Demonstrated ability to effectively partner/influence a remote team and drive a technical project to deliver results
+ Experience with application of clinical data management skills such as data flow, data quality & integrity, data interchange, data mining, and data representation principles
+ Demonstrated ability to lead development of creative data solutions to address clinical development challenges
+ Passionate about improving technological solutions using new technologies
+ Society of Clinical Data Management certification
+ Working knowledge of programming languages & Industry tools such as Tableau, PowerBI, Python, SAS, 'R' and Shiny for reporting, metrics and visualizations along with P-SQL, T-SQL for DBMS.
+ Experience with the following:
+ Articulating the flow of data (structure and format) from patient to analysis and apply this knowledge to data solutions
+ Utilization of clinical/drug development knowledge and an ability to collaborate closely effectively with study team members (i.e. Statistics, PK, Operations, Medical)
+ Strong therapeutic/scientific knowledge in the field of research
+ Knowledge of medical terminology
+ Domestic and International travel may be required
+ Ability to balance multiple activities, prioritize and manage ambiguity
+ Demonstrated exemplary teamwork/interpersonal skills
+ Demonstrated problem solving, attention to detail and result oriented behaviors in a fast-paced environment.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$63,000 - $140,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
Associate Director - Clinical Trials, Clinical Data Lead
Posted 2 days ago
Job Viewed
Job Description
**Organization Overview:**
At Lilly, we serve an extraordinary purpose. For more than 140 years, we have worked tirelessly to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world's greatest health challenges.
The Clinical Data Lead is accountable for technical leadership in the execution of global clinical data management work, driving prioritization and alignment of study deliverables and realizing improvements in clinical data management activities and processes. The position is responsible for coaching and developing and requires an in depth understanding of clinical data management, that includes data collection, data flow, data quality & integrity.
***Please note, this is a hybrid position, 3 days required onsite at the corporate center in Indianapolis, IN ***
**Responsibilities:**
Portfolio Delivery
+ Partner with other clinical leaders to provide proactive strategic, scientific and technical input on clinical data planning and execution that enable efficient delivery of these data
+ Contribute to project decisions related to global clinical data execution options
+ Ensure strong linkages exist between study build, execution, analytics and archival
+ Partner closely with Data and Analytics leadership and other functions to effectively plan, forecast, and manage the end to end global clinical data management, validation, study build, and filing/archiving resources required to deliver all sanctioned projects
+ Drive efficiency and improvement in the Data and Analytics organization
+ Lead large-scale cross Business Unit/Therapeutic Area projects or programs with high complexity
Enterprise Leadership
+ Represent the Data and Analytics organization at appropriate internal and external venues.
+ Maintain awareness of regulatory requirements, particularly those related to the US, EU, Japan, and China
+ Accountable for fiscal responsibility of execution of clinical data plans
+ Ensure that activities are performed according to established guidelines, internal procedures and in compliance with all laws and regulations
+ Drive shared learning and end to end process expertise
+ Proactively drive the use of data processes and tools to accelerate data management activities
+ Articulate the value of data solutions in terms of reliability, time, cost, quality and scalability
+ Integrates multi-functional and/or external information and applies technical knowledge to data-driven decision making
+ Anticipate and resolve key technical, operational or business problems that impact the Data and Analytics organization
Technical Leadership and Development
+ Responsible for recruitment, development, and retention of a scientific, technical and operationally capable workforce skilled and knowledgeable in clinical data management.
+ Project effective technical leadership to an agile team of technical staff that continuously meets the needs of a changing portfolio
+ Demonstrated judgment-based decision making, and provide leadership in clinical data management delivery
+ Create a team culture that fosters inclusion, innovation, promotes diversity
**Basic Requirements:**
+ Master's degree with a minimum of 3 years of experience (or bachelor's degree with 7 or more years of experience) in clinical drug development or a related field, with deep technical expertise in clinical data management and execution of data strategies at the compound and study level
**Additional Skills/Preferences:**
+ Advanced degree (e.g. MSc, PhD) in a scientific or health care field
+ Proven ability to lead development of creative data solutions to address clinical development challenges
+ Previous supervisory experience
+ Proven ability to develop diverse organizational talent with next level potential
+ Passionate about improving technological solutions using new technologies
+ Society of Clinical Data Management certification
+ Domestic and international travel may be required
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$111,000 - $162,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
Oncology Clinical Trials Data Supervisor
Posted 2 days ago
Job Viewed
Job Description
+ Benefits from Day One
+ Paid Days Off from Day One
+ Career Development
+ Whole Person Wellbeing Resources
+ Mental Health Resources and Support
+ Debt-free Education* (Certifications and Degrees without out-of-pocket tuition expense)
**Our promise to you:**
Joining AdventHealth is about being part of something bigger. It's about belonging to a community that believes in the wholeness of each person, and serves to uplift others in body, mind, and spirit. AdventHealth is a place where you can thrive professionally, and grow spiritually, by Extending the Healing Ministry of Christ. Where you will be valued for who you are and the unique experiences you bring to our purpose-minded team. All while understanding that **together** we are even better.
**Schedule:** Full Time
**Shift** : Days
**Location:** 601 EAST ROLLINS STREET, Orlando, 32803
**The role you'll contribute:**
The Clinical Research Data Operations Supervisor serves the AdventHealth Research Institute (AHRI) providing oversight of the conduct and data quality of industry-sponsored and investigator-initiated clinical trials in accordance with trial protocols, Food and Drug Administration (FDA) regulations and International Conference on Harmonization/Good Clinical Practices (ICH/GCP) guidelines. The Supervisor is able to function as a Clinical Research Data Coordinator as needed and serves to train, mentor and develop the Clinical Research Data Coordinators and Research Support Assistants staff in the conduct of clinical research within the AdventHealth research enterprise at the institute level and may extend across multiple U.S. Division locations. Works closely with AHRI Managers and Leaders to facilitate the initiation through completion of clinical research studies in assigned areas. Provides day-to-day supervision and ongoing performance reviews of clinical research staff at the department level. Actively participates in outstanding customer service and accepts responsibility for maintaining positive relationships that are equally respectful to all.
**The value you'll bring to the team:**
+ Performs a variety of supervisory duties including, but not limited to, ensuring that the work environment is safe, secure and healthy, leading the hiring process of applicant review and selection, team development through one-on-one discussions, and manages performance management of research team members (i.e., direct reports) including providing positive discipline, constructive feedback, and Talent Care discussions.
+ Collaborates with Clinical Research Supervisors by supervising day-to-day activity of the clinical research team within their assigned area, including oversight of team's workflow productivity and maintenance of personnel and staffing schedules as affected by research protocols at any given time.
+ Serves as an expert and resource for the research team when barriers arise during day-to-day operations.
+ Monitor and evaluate the quality of data operations within their assigned area including, but not limited to, regularly reviewing monitor follow up visit letters/sponsor reports, and provide oversight on what action items require follow up.
Qualifications
**The expertise and experiences you'll need to succeed:**
+ Bachelor's degree in Healthcare Administration, Research, or related field and at least 2 years of experience in clinical research or
+ Associate's degree in Healthcare Administration, Research, or related field and at least 3 years of experience in clinical research or related field.
This facility is an equal opportunity employer and complies with federal, state and local anti-discrimination laws, regulations and ordinances. The salary range reflects the anticipated base pay range for this position. Individual compensation is determined based on skills, experience and other relevant factors within this pay range. The minimums and maximums for each position may vary based on geographical location.
**Category:** Research
**Organization:** AdventHealth Orlando
**Schedule:** Full-time
**Shift:** 1 - Day
**Req ID:**
We are an equal opportunity employer and do not tolerate discrimination based on race, color, creed, religion, national origin, sex, marital status, age or disability/handicap with respect to recruitment, selection, placement, promotion, wages, benefits and other terms and conditions of employment.
Lead Clinical Data Manager - Oncology Trials
Posted 7 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the planning, design, and implementation of clinical databases and data management plans for oncology studies.
- Oversee the development of data collection tools, edit checks, and data validation procedures to ensure data accuracy and completeness.
- Manage data cleaning activities, discrepancy resolution, and medical coding processes in collaboration with clinical operations and medical affairs teams.
- Ensure compliance with all relevant regulatory requirements, including ICH-GCP, HIPAA, and FDA guidelines.
- Provide technical and strategic guidance to a team of clinical data managers, fostering professional development and ensuring high-quality deliverables.
- Participate in the selection and implementation of clinical data management systems and technologies.
- Collaborate with biostatisticians and statistical programmers to ensure data are delivered in a timely and accurate manner for analysis.
- Develop and maintain Standard Operating Procedures (SOPs) and work instructions related to clinical data management.
- Contribute to the review of study protocols, case report forms (CRFs), and other study documents from a data management perspective.
- Effectively communicate data management status, risks, and issues to project teams and stakeholders.
- Manage vendor relationships with Contract Research Organizations (CROs) for data management activities.
- Stay updated on industry best practices and emerging trends in clinical data management.
Principal Data Scientist - Clinical Trials Optimization
Posted 7 days ago
Job Viewed
Job Description
In this critical role, you will leverage your advanced analytical expertise to drive significant improvements in clinical trial design, execution, and analysis. You will be instrumental in developing and implementing sophisticated statistical models and machine learning algorithms to optimize patient recruitment, predict trial outcomes, identify key biomarkers, and enhance data integrity. Your work will directly impact the efficiency and success rate of groundbreaking drug development programs.
The ideal candidate is a recognized expert in statistical modeling, machine learning, and data science within the pharmaceutical or biotech industry. You possess a deep understanding of clinical trial methodologies and data, coupled with a passion for solving complex biological and medical challenges. A proven ability to communicate complex findings to both technical and non-technical audiences, as well as experience leading data science initiatives, is paramount.
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to address challenges in clinical trial design and operations.
- Analyze large, complex datasets from clinical trials, including patient demographics, treatment responses, and safety data.
- Design and execute experiments to validate predictive models and analytical approaches.
- Identify opportunities to optimize patient recruitment strategies using predictive analytics.
- Develop methods for early identification of potential trial risks and success indicators.
- Collaborate with clinical operations, biostatistics, and R&D teams to integrate data-driven insights into trial processes.
- Contribute to the development of data standards and best practices for clinical trial data analysis.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in pharmaceutical research.
- Communicate complex analytical findings and recommendations clearly to cross-functional teams and senior management.
- Mentor junior data scientists and contribute to the growth of the data science team.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Ph.D. or Master's degree in Statistics, Computer Science, Bioinformatics, or a related quantitative field.
- 10+ years of experience in data science, with a significant focus on pharmaceutical or clinical trial data analysis.
- Demonstrated expertise in statistical modeling, machine learning, deep learning, and predictive analytics.
- Strong programming skills in Python or R, and experience with relevant data science libraries.
- Proficiency in SQL and experience working with large databases.
- Deep understanding of clinical trial phases, methodologies, and regulatory requirements.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
- Excellent problem-solving skills and the ability to work independently in a remote environment.
- Outstanding written and verbal communication skills, with the ability to present complex technical information effectively.
Associate Director-Clinical Trials, Submission Data Delivery
Posted 2 days ago
Job Viewed
Job Description
***This position requires living in the Indianapolis, IN area - working in a hybrid capacity which includes: 3 days onsite/2 days remote - a generous relocation package can be included with offer***
The **Associate Director- Submission Data Delivery** role leads all aspects of global consistency of medical data; structure, content and meaning, acquisition, storage, retrieval, interchange and representation. This requires an in-depth understanding of data collection, data flow management, data quality, data technology, data archiving, data standards, and submission process.
**Responsibilities:**
The Associate Director-Submission Data Delivery provides technical leadership and process ownership for Statistics, Data and Analytics.
▪ Apply broad process/technology knowledge to ensure clinical trials are consistent and accurate
▪ Act as the main contact within the Statistics, Data and Analytics organization for development and support of process and technology
▪ Communicates the global data strategy across the organization as it relates to process and technology. Influence to proactively resolve complex regulatory and business issues related to process and technology
▪ Oversight of submission data packages for SDTM, ADaM, PK/PD, and other data.
▪ This role will liaise with product and study teams, submission teams, Statistics, Data and Analytics, regulatory and vendors throughout the submission preparation process and post submission regulatory requests for data.
**Process/Technology Strategy Development and Management:**
▪ Accountable for defining, delivering, and improving global processes and/or technology to facilitate the reliable planning and execution of results.
▪ Proactively identify, monitor and communicate global customer needs/requirements related to process and/or technology performance and improvements as the need arises, across TA/Regions/Functions.
▪ Accountable for ensuring process and/or technology interfaces are optimized across Statistics, Data and Analytics.
**Process Improvement:**
▪ Continually seek and implement means of improving processes to reduce cycle time and decrease work effort to improve the return of the investment of the assets managed.
**Basic Requirements:**
▪ Bachelor's degree ideally in a scientific area
▪ Minimum 5 years of clinical trial data experience in drug development in areas intersecting (e.g. clinical operations, statistics, information technology, health outcomes, regulatory, etc.)
▪ Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.
**Preferred Qualifications:**
+ In depth experience with SDTM, ADaM, PK/PD, and other data
+ Experience with R, Python and SAS
+ Strong technical experience and understanding of the data submission process in clinical data trials.
+ Experience with project management and leading without authority, while influencing submission teams and reporting to stakeholders
+ Understanding the regulatory guidelines and current expectations (FDA, PMDA, etc) along with experience with RIM
+ Pinnacle 21 experience, define .xml, OSI, and other submission data deliverables
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$111,000 - $162,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
Clinical Data Scientist
Posted today
Job Viewed
Job Description
At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team.
Job DescriptionPosition is responsible for analyzing complex and unstructured healthcare data sets using advanced statistical methods for use in data driven decision making. The candidate is responsible for supporting a cross-functional team and providing in-depth data insights for complex healthcare problems that can be approached with advanced analytic techniques. They should also collect, explore, and extract insights from structured and unstructured data for performance and quality improvement in a healthcare setting. The ideal candidate should have experience with the EPIC EMR system. They should also have the ability to write complex SQL queries, design Tableau dashboards, and have knowledge of other visualization platforms such as Microsoft Power BI. Knowledge of healthcare comparative analytics platforms such as Vizient, Leapfrog, or US News and World Report is preferred.
Minimum QualificationsEducation: Masters degree with minimum of five (5) years professional experience is required; Professional experience in medical informatics, healthcare information technology/finance/revenue cycle data management, or EHR data management is preferred; In lieu of Masters degree, 10+ years of relevant professional experience may be substituted
Licenses/Certifications: (None)
Experience / Knowledge / Skills:
- Performs research, analysis, and modeling on organizational data
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making
- Handles moderately complex issues and problems, and refers more complex issues to higher-level staff
- Possesses solid working knowledge of subject matter; May provide leadership, coaching, and/or mentoring to subordinate group
- Strong programming skills in addition to working knowledge and experience of statistical analysis tools
- Demonstrated problem solving, analytical reasoning and decision-making skills
- Demonstrates ability to identify and seek needed information to perform problem/situation analysis
- Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
- Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required
- Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
- Understanding of database management tools
- Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques
- Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
- Ability to work under minimal supervision in a fast-paced multidisciplinary environment
- Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues
- Superior customer service in the form of first-rate work product and project management
- Strong ability to manage challenging client situations
- Strong ability to troubleshoot and recommend solutions
- Strong ability to translate complex information for a wide range of stakeholders
- Effective oral and written communication skills
- Work collaboratively with cross-functional teams to draw insight and intelligence from large datasets and electronic medical records.
- Provide in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
- Lead and manage the data management of CCR-related reporting sources, including data schemas, data architecture, data quality, data security, data governance, data extraction, and loading and transforming from multiple resources.
- Develop and test hypotheses and communicate findings in clear, precise and actionable manner to project and leadership teams.
- Respond to CCR-related data requests and create ad-hoc queries to support projects and planning.
- Work closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
- Assist with the evaluation of data analytic vendors and tools.
- Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
- Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
- Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann's service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.
- Other duties as assigned.
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Clinical Data Scientist
Posted 3 days ago
Job Viewed
Job Description
Job DescriptionJob DescriptionAbout the Client
Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next- platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.
About the Role
The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams.
Responsibilities
-
Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.
-
Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model.
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Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.
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Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.
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Apply CI/CD and version control best practices within analytics codebases.
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Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.
Requirements
Required:
-
At least 3 years of experience in analytics or data engineering.
-
Strong proficiency with SQL and dbt.
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Bachelor's degree in a technical or quantitative field.
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Hands-on experience with cloud platforms (especially Snowflake and/or AWS).
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Competency in Python for data wrangling and feature .
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Familiarity with AI/ML workflows and deployment pipelines.
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Commitment to clean, modular, and well-documented code using software engineering best practices.
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Comfort working in a dynamic, fast-paced startup setting.
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Clear communication skills and the ability to advocate for robust data practices.
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Passion for advancing healthcare through trustworthy and scalable data infrastructure.
:
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Experience with healthcare data standards such as HL7, FHIR, or DICOM.
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Background in academic medical research.
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Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries.
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Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines.
Benefits & Why Join
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Competitive compensation package: base salary in the $145K–$160K range plus equity.
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Opportunity to work at the forefront of AI and healthcare innovation.
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Collaborative and mission-driven team environment.
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Flexibility to work remotely or from the company’s office in New York.
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A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.
Clinical Data Scientist
Posted 3 days ago
Job Viewed
Job Description
Job DescriptionJob DescriptionAbout the Client
Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next- platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.
About the Role
The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams.
Responsibilities
-
Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.
-
Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model.
-
Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.
-
Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.
-
Apply CI/CD and version control best practices within analytics codebases.
-
Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.
Requirements
Required:
-
At least 3 years of experience in analytics or data engineering.
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Strong proficiency with SQL and dbt.
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Bachelor's degree in a technical or quantitative field.
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Hands-on experience with cloud platforms (especially Snowflake and/or AWS).
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Competency in Python for data wrangling and feature .
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Familiarity with AI/ML workflows and deployment pipelines.
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Commitment to clean, modular, and well-documented code using software engineering best practices.
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Comfort working in a dynamic, fast-paced startup setting.
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Clear communication skills and the ability to advocate for robust data practices.
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Passion for advancing healthcare through trustworthy and scalable data infrastructure.
:
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Experience with healthcare data standards such as HL7, FHIR, or DICOM.
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Background in academic medical research.
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Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries.
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Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines.
Benefits & Why Join
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Competitive compensation package: base salary in the $145K–$160K range plus equity.
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Opportunity to work at the forefront of AI and healthcare innovation.
-
Collaborative and mission-driven team environment.
-
Flexibility to work remotely or from the company’s office in New York.
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A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.
Clinical Data Scientist
Posted 3 days ago
Job Viewed
Job Description
Job DescriptionJob DescriptionAbout the Client
Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next- platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.
About the Role
The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams.
Responsibilities
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Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.
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Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model.
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Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.
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Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.
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Apply CI/CD and version control best practices within analytics codebases.
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Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.
Requirements
Required:
-
At least 3 years of experience in analytics or data engineering.
-
Strong proficiency with SQL and dbt.
-
Bachelor's degree in a technical or quantitative field.
-
Hands-on experience with cloud platforms (especially Snowflake and/or AWS).
-
Competency in Python for data wrangling and feature .
-
Familiarity with AI/ML workflows and deployment pipelines.
-
Commitment to clean, modular, and well-documented code using software engineering best practices.
-
Comfort working in a dynamic, fast-paced startup setting.
-
Clear communication skills and the ability to advocate for robust data practices.
-
Passion for advancing healthcare through trustworthy and scalable data infrastructure.
:
-
Experience with healthcare data standards such as HL7, FHIR, or DICOM.
-
Background in academic medical research.
-
Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries.
-
Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines.
Benefits & Why Join
-
Competitive compensation package: base salary in the $145K–$160K range plus equity.
-
Opportunity to work at the forefront of AI and healthcare innovation.
-
Collaborative and mission-driven team environment.
-
Flexibility to work remotely or from the company’s office in New York.
-
A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.