Senior Clinical Data Scientist

Cook Group

Senior Clinical Data Scientist at Cook Research utilizing AI and analytics to improve patient care outcomes with innovative, ethical solutions.

Posted 5/18/2026full-timeWest Lafayette • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and deploy advanced analytical models, including machine learning, predictive modeling, forecasting, and anomaly detection.
Apply AI/ML techniques to solve complex business problems and identify patterns, risks, and opportunities within large, multi-source datasets.
Design, build, and maintain scalable analytical solutions and reusable data science frameworks.
Translate analytical findings into clear, accurate, and actionable insights tailored for technical and non-technical stakeholders.
Partner with cross functional teams to ensure insights are actionable and aligned to business priorities.
Contribute to the development of KPIs, metrics, and performance measurement frameworks in collaboration with cross-functional stakeholders.
Mentor peers and contribute to building data science and AI/ML capabilities across the organization.
Apply advanced analytics to patient-level, site-level, and study-level clinical data, processes, and documents to support study design and strategy, execution, oversight, and portfolio insights including potential claims.
Integrate and analyze data across clinical systems (e.g., EDC, CTMS, eTMF, safety systems, external data sources) to provide a holistic view of site and study performance and data reliability.
Evaluate data quality, data risk, and data completeness in the context of clinical trial conduct, identifying potential impacts to patient safety and endpoint integrity.
Ensure analytical approaches align with regulatory authority expectations for electronic records (e.g., data integrity, traceability, reproducibility) and the use of AI in generating outputs.
Apply knowledge of Good Clinical Data Management Practices (GCDMP), and regulatory authority expectations to ensure data is not only complete, but credible and fit for decision-making.
Support inspection readiness through well-documented processes and auditable analytical outputs.

Requirements

What you’ll need

Bachelor's degree (Masters or PhD preferred) in Data Science, Biostatistics, Statistics, Computer Science, Biomedical Engineering, or a related quantitative discipline; or equivalent combination of education and experience.
Minimum 5–8 years of relevant experience in data science, advanced analytics, or AI/ML.
Demonstrated experience working with complex, multi-source datasets in regulated environments.
Experience working with patient-level clinical data, clinical operations data, CMS/claims data, or other regulated healthcare datasets strongly preferred.
Strong proficiency in analytical programming languages and tools (e.g., Python, R, SQL).
Experience developing analytical models and data visualization tools (e.g., Power BI).
Experience developing and deploying machine learning models.
Familiarity with data engineering concepts and working with large datasets.

Benefits

Comp & perks

Meaningful work & strong values: Contribute to improving patient care globally in a company known for high ethical standards and integrity.
Competitive rewards & security: Competitive, performance-related compensation and benefits that support your health and financial wellbeing.
Flexibility & time off: Paid time off, holidays, and hybrid or remote work options for many jobs, where possible.
Growth & development: Learning opportunities, educational assistance, and development programs to help you grow your skills and career.
Wellbeing & community: Health and wellness initiatives, social activities, and community engagement that help you feel connected and supported.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningpredictive modelingforecastinganomaly detectiondata analysisdata visualizationdata engineeringanalytical programmingclinical data managementperformance measurement

Soft Skills

mentoringcollaborationcommunicationproblem-solvinganalytical thinkingstakeholder engagementadaptabilityattention to detailorganizational skillsinsight translation

Certifications

Bachelor's degreeMaster's degreePhDGood Clinical Data Management Practices (GCDMP)