248 Research And Development jobs in Arizona

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

California Consumer Privacy Act Employees, Contractors, and Applicants Notice

Req ID: J

**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
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

Our client, a leading pharmaceutical company, is seeking a highly motivated and experienced Remote Pharmaceutical Research Scientist to join their innovative Formulation Development team. This is a fully remote position, allowing you to contribute to groundbreaking research from anywhere in the US. The successful candidate will focus on the design, development, and optimization of novel drug delivery systems and pharmaceutical formulations. You will leverage your expertise in pharmaceutics, chemistry, and drug delivery technologies to advance our pipeline and bring life-changing medicines to patients.

Responsibilities:

• Design and conduct pre-formulation studies to characterize drug substances and excipients.
• Develop and optimize various dosage forms, including oral solid dosage forms, injectables, and topical formulations.
• Utilize a range of pharmaceutical technologies and equipment for formulation development and characterization.
• Perform dissolution testing, stability studies, and other analytical assays to evaluate formulation performance.
• Investigate and troubleshoot formulation-related issues, proposing science-based solutions.
• Collaborate with analytical chemists, process engineers, and other R&D scientists to support formulation development efforts.
• Prepare comprehensive study protocols, reports, and presentations for internal and external stakeholders.
• Stay current with the latest scientific literature, industry trends, and regulatory guidelines in pharmaceutical formulation and drug delivery.
• Contribute to the intellectual property portfolio by identifying patentable inventions.
• Participate in cross-functional team meetings and contribute to project strategy discussions.
• Ensure all research activities are conducted in compliance with Good Laboratory Practice (GLP) and other relevant regulatory standards.

Qualifications:

• Ph.D. or Master's degree in Pharmaceutics, Pharmaceutical Sciences, Chemistry, Chemical Engineering, or a related discipline.
• Minimum of 5 years of experience in pharmaceutical formulation development within the biotech or pharmaceutical industry.
• Proven expertise in developing various dosage forms and understanding of drug delivery principles.
• Hands-on experience with pre-formulation studies, excipient compatibility, and formulation characterization techniques.
• Proficiency in dissolution testing, stability study design and execution, and relevant analytical methods.
• Strong understanding of cGMP and GLP principles.
• Excellent scientific judgment, problem-solving abilities, and attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific data.
• Ability to work independently and collaboratively in a remote research environment.
• Experience with sterile product development is a plus.

Join a dynamic and forward-thinking team dedicated to improving patient outcomes through advanced pharmaceutical science. If you are a passionate formulation scientist looking for a challenging remote opportunity, apply today.

Clinical Research Associate

Real Life Sciences' dedicated pharmaceutical and biotechnology division has been working with pharmaceutical companies, biotechnology organizations, and professionals across both sectors since 1998 and has focused on providing added-value recruitment services for companies working within development phases 1 to 4.

We work with large multinational companies, generics and biosimilar manufacturers, small niche biotech organizations, and all parts of the pharma and biotech supply chain, including R&D companies, clinical research organizations, manufacturing companies, marketing and medical communications agencies, and regulatory affairs consultancies.

Real Life Sciences' success within pharma and biotech recruitment is based on our ability to understand our key markets and develop a business that is focused on supporting our customers as their challenges change and the industry evolves.

Job Description

Position Summary:

Responsible for the conduct of clinical study activities to verify and validate new instrument platforms, assays, and biomarkers developed by Ventana Medical Systems. Works closely with study managers and other CRA staff to complete all CRA functions associated with study planning, implementation, monitoring, and closing study conduct in accordance with the principles of Good Clinical Practice (GCP).

Essential Functions:

• Conducts in-house monitoring, and may independently perform on-site monitoring in accordance with Roche and Ventana Standard Operating Procedures, ICH GCP guidelines, and Regulations.
• Participates in assessing study risks.
• Communicates on behalf of the study manager with investigators and site staff.
• Prepares study performance reports and provides input into study budgets.

Study Implementation:

• Assists in preparation and independent execution of:
• Study training presentations for investigators and site staff.
• Study supply ordering and shipping.
• Investigational product release, labeling, accountability at study sites.
• Site Readiness and Site Monitoring Plans.
• Assay transfer and assay qualification activities.
• Study records including site and trial master files.
• Site qualification, site initiation, routine monitoring, and close out visits and reports.
• Document compilation for clinical study reports and document archive activities.
• Data management activities including user acceptance testing, data entry, and data verification as needed.

Departmental Roles:

• Works within project teams to facilitate the conduct of standard study designs.
• Participates in clinical affairs meetings and completes independent activities to support departmental functions.
• Completes all internal training programs in a timely manner, and demonstrates professional development via independent reading, networking, and training.
• Adopts clinical practices that promote Quality First Time.

Qualifications

Formal Training/Education:

Bachelor of Science, RN, or BSN; OR equivalent combination of education and experience.

Experience:

• 2+ years of previous pharmaceutical or medical device clinical study coordination, clinical site monitoring, or clinical study management experience required or equivalent combination of education and experience.
• Prior experience with current Good Clinical Practices (cGCP) and Code of Federal Regulations (CFR) preferred.
• A background in biomedical/healthcare services with laboratory experience preferred.

Knowledge, Skills and Abilities:

• Excellent skills in basic computer applications (Word, Excel, Access, PowerPoint).
• Excellent writing and verbal communication skills.
• Well organized and detail oriented.
• Impeccable record keeping and filing skills.
• Excellent time management skills.
• Ability to give presentations and teach others.
• Ability to work effectively in a team, and also work independently on assigned tasks.
• Ability to complete intermittent overnight travel up to 30%.

Our client, a world leader in diagnostics and life sciences, is looking for a "Research Associate III”  based out of Tucson, AZ.

Job Duration:  Long Term Contract (Possibility Of Further Extension)

Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

Experience using analytical methods in assay development is preferred. **Responsibilities:  Conduct laboratory experiments and research studiesAnalyze and interpret experimental dataEnsure compliance with research protocols and safety standardsDocument findings and prepare research reportsCollaborate with scientific teams on study objectives Required Skills: 5–10 years of experienceStrong problem-solving skillsExcellent communication abilitiesKnowledge of industry best practices Preferred Skills  Experience in clinical or laboratory research preferred

If interested, please send us your updated resume at

/  

Our client, a world leader in diagnostics and life sciences, is looking for a " Research Associate I ” based out of Tucson, AZ.

Job Duration: Long term Contract (Possibility Of Further Extension)

Pay Rate: $26/hr on W2 DOE

Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

Key Responsibilities:

Perform whole slide image acquisition and quality control on clinical samples.Conduct and support clinical research studies and trials.Collect, organize, and analyze clinical data for accuracy and completeness and enter into Laboratory Information Systems.Ensure strict compliance with research protocols, GCP, and ethical standards.Maintain accurate documentation and records of research activities.Prepare reports, presentations, and publications based on research findings.Collaborate with pathologists, scientists, and cross-functional teams on research initiatives.Assist in clinical trial management tasks as needed.

Qualifications:

Bachelor’s degree in related field.Strong documentation and collaboration skills.

If interested, please send us your updated resume at

/

Our client, a prominent pharmaceutical company, is seeking an experienced Lead Clinical Research Associate (CRA) to oversee and manage clinical trial activities. This hybrid role offers the opportunity to contribute significantly to groundbreaking oncology research while maintaining a balance between remote work and occasional office visits in **Phoenix, Arizona, US**. As a Lead CRA, you will be instrumental in ensuring the successful execution of clinical studies, adhering to strict regulatory guidelines (GCP, ICH) and company protocols. Your responsibilities will include site selection and initiation, monitoring site performance, ensuring data integrity, and managing investigator relationships. You will provide leadership and mentorship to a team of CRAs, fostering a collaborative and high-performing environment. The ideal candidate will possess a deep understanding of oncology drug development, clinical trial design, and regulatory compliance. Strong project management skills, excellent communication abilities, and a meticulous attention to detail are essential for this critical position. You will play a pivotal role in advancing life-saving treatments and making a tangible difference in patients' lives. This is an exciting opportunity for a seasoned professional looking to take on greater responsibility and drive impactful research within a supportive and innovative organization.

Key Responsibilities:

• Lead and mentor a team of Clinical Research Associates, ensuring compliance with protocols and regulations.
• Oversee the conduct of clinical trials from site initiation to close-out, ensuring data quality and integrity.
• Perform site visits (routine monitoring, initiation, close-out) as per the clinical monitoring plan.
• Ensure adherence to Good Clinical Practice (GCP), ICH guidelines, and all applicable regulatory requirements.
• Build and maintain strong working relationships with investigators, site staff, and other study stakeholders.
• Review and track study progress, identifying and resolving site-level issues promptly.
• Contribute to the development and review of study documents, including protocols, case report forms (CRFs), and investigator brochures.
• Manage study budgets and timelines effectively to ensure project milestones are met.
• Participate in cross-functional team meetings and provide updates on site performance.
• Identify training needs for CRAs and develop relevant training programs.

Qualifications:

• Bachelor's degree in Life Sciences, Nursing, Pharmacy, or a related field. Master's degree preferred.
• Minimum of 5-7 years of progressive experience as a Clinical Research Associate in the pharmaceutical or biotech industry.
• Demonstrated experience in leading or mentoring junior CRAs.
• In-depth knowledge of oncology clinical trials and therapeutic area.
• Strong understanding of ICH-GCP guidelines and regulatory requirements.
• Excellent project management, organizational, and problem-solving skills.
• Outstanding communication, interpersonal, and presentation skills.
• Proficiency in clinical trial management systems (CTMS) and electronic data capture (EDC) systems.
• Ability to travel as required (estimated 30-40%).
• Must have the legal right to work in the US.

Our client, a world leader in diagnostics and life sciences, is looking for a "Research Associate II - Assay Transfer”  based out of Tucson, AZ .

Job Duration: Long term Contract (Possibility Of Further Extension)

Pay Rate : $34/hr on W2

Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

This role ensures successful design transfer, manufacturability, and compliance with GMP standards, directly impacting product quality and reliability.

Key Responsibilities

Execute R&D activities to ensure product, method, and process manufacturability.

Manufacture GMP lots and participate in process characterizations for reagent transfer to Manufacturing.

Prepare and maintain manufacturing documents, technical reports, summaries, and quantitative analyses.

Collaborate cross-functionally on design transfer activities to support smooth scale-up.

Maintain accurate documentation and present/discuss data within and across teams.

Provide training in areas of expertise and foster a culture of “Quality First Time.”

Apply Scaled Agile Framework (SAFe) principles to prioritize and complete work as a member of the Assay Transfer Agile team.

Required Qualifications

BS degree in a related scientific field.

5+ years of post-graduate experience working in a scientific laboratory within industry.

5+ years of experience in a GMP/manufacturing environment.

Strong documentation, communication, and collaboration skills.

Experience in Quality Control or formulations a plus.

If interested, please send us your updated resume at

/  

Our client is seeking a highly experienced and motivated Senior Clinical Research Associate (CRA) to join their fully remote team. This pivotal role involves overseeing and managing all aspects of clinical trials, ensuring adherence to study protocols, regulatory requirements, and Good Clinical Practice (GCP) guidelines. As a remote Senior CRA, you will conduct remote site monitoring activities, including verification of source data, review of regulatory documentation, and assessment of subject safety and rights. You will also be responsible for identifying and qualifying potential clinical investigators and sites, initiating study sites, and providing ongoing support to site staff. This position requires strong independent work habits, excellent organizational skills, and the ability to manage time effectively across multiple projects and locations. You will collaborate closely with internal teams, including clinical operations managers, data managers, and medical monitors, as well as external stakeholders such as investigators, site coordinators, and regulatory authorities. A key aspect of this role is ensuring the quality and integrity of clinical trial data, identifying risks, and implementing mitigation strategies. The Senior CRA will also play a role in site staff training and education regarding the study protocol and investigational product. Exceptional communication and interpersonal skills are essential for building and maintaining strong relationships with study sites and fostering a collaborative research environment. Travel may be required on an as-needed basis for site visits or team meetings, though the primary mode of operation is remote. A Bachelor's degree in a life science, nursing, or a related field is required. A Master's degree or advanced scientific degree is a plus. A minimum of 5 years of experience as a Clinical Research Associate, with demonstrated experience in monitoring multiple study phases and therapeutic areas, is essential. Strong knowledge of FDA regulations, ICH guidelines, and clinical trial methodologies is mandatory. Experience with various electronic data capture (EDC) systems and clinical trial management systems (CTMS) is also necessary. If you are a seasoned CRA looking for a remote opportunity to make a significant impact on groundbreaking pharmaceutical research, we invite you to apply.