Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$170,000.0 - $230,000.0

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

Artificial Intelligence Clinical Data Repository Cyber Security Databases Data Files Data Security Database Analysis R (Programming Language) Machine Learning SAS (Software) Electronic Medical Records GXP

Job description

• Methodological Innovation: Lead the development of novel approaches for RWE, including the use of external control arms (ECA), causal inference in high-dimensional data, and the integration of longitudinal clinical data with molecular/genomic signatures.
• Research Design & Implementation: Oversee the end-to-end execution of retrospective database analyses. You will act as the primary architect for study protocols, ensuring they push the boundaries of current HEOR/RWE standards while maintaining scientific rigor.
• Scientific Thought Leadership: Serve as a subject matter expert for biopharma clients, advising them on “first-in-kind” study designs. You are expected to contribute to the broader scientific community through high-impact publications and presentations at conferences like ISPOR, ISPE, and ASCO.
• Client Strategy & Partnership: Partner with Key Account Directors and Business Development to identify opportunities where novel methodology can solve “unsolvable” client problems (e.g., rare disease characterization or complex biomarker validation).
• Cross-Functional Synergy: Bridge the gap between Data Science, Biostatistics, and Product teams to productize successful novel methods, ensuring they are scalable across the Tempus ecosystem.
• Project Management & Quality: Ensure all innovative research meets stringent regulatory and ethical standards (e.g., GEP, HIPAA), delivering high-quality results on timelines that match the pace of the biopharma industry.

Requirements

• Education: PhD (preferred) or PharmD in Epidemiology, Biostatistics, Health Economics, or a related quantitative field.
• Experience: 7+ years in HEOR/RWE, with at least 3 years in a leadership capacity.
• Deep expertise in oncology is required.
• Methodological Mastery: Proven track record of developing or implementing advanced methods (e.g., target trial emulation, propensity score applications in complex cohorts, or machine learning-augmented epidemiology).
• Technical Proficiency: Advanced skills in R or SAS. Experience working with “messy” real-world data (EHR, claims, and/or genomic data) is essential.
• The “Consultant” Mindset: Exceptional ability to walk into a room of biopharma executives and simplify complex methodological hurdles into a clear strategic roadmap.
• Leadership: Demonstrated experience mentoring junior scientists and leading cross-functional squads in a fast-paced, high-growth environment., Alliance/Partner Management, Artificial Intelligence (AI), Biomarkers, Biostatistics, Business Development, Clinical Data, Clinical Medicine, Conferences, Consulting, Cross-Functional, Customer Relations, Data Science, Data Sets, Database Analysis, Disease, Drug Development, Ecosystems, Epidemiology, GEP (Good Engineering Practices), Genomics, HIPAA (Health Insurance Portability and Accountability Act), Health Economics, Healthcare, Information/Data Security (InfoSec), Intellectual Property (IP), Leadership, Machine Learning, Medical Record System, Medicine, Mentoring, Patient Care, Project/Program Management, Publications, R Programming Language, Regulations, Research Protocols, Thought Leadership

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