Contractor Sr Manager, RWE Programmer

We are seeking a Senior Manager / Programmer – Real World Evidence (Contract) to join a cutting-edge analytics team dedicated to transforming complex healthcare data into meaningful insights. In this high-impact position, you will help uncover unmet needs, generate powerful evidence, and shape strategies that influence clinical, regulatory, and market access outcomes across innovative therapies.This is an opportunity to work at the intersection of epidemiology, advanced analytics, and scientific communication—partnering with cross-functional experts to design and execute real-world studies that inform critical healthcare decisions. You’ll leverage large observational datasets, build dynamic visualization tools, and translate rigorous analyses into compelling evidence shared at major scientific forums.Ideal for a hands-on statistical programmer with a passion for healthcare innovation, this contract role offers the chance to operate in a fast-moving, collaborative environment where your expertise directly contributes to advancing research and improving patient outcomes.OverviewWe are seeking an experienced Senior Manager / Programmer – Real World Evidence (RWE) to support the execution of high-impact real-world evidence and epidemiology studies. This role plays a critical part in demonstrating unmet medical needs, product differentiation, and value through rigorous analysis of real-world data (RWD).As part of a collaborative RWE analytics team, you will work closely with cross-functional stakeholders to generate, analyze, visualize, and communicate evidence that informs clinical development, regulatory strategy, safety evaluation, and market access decisions.

• Support the implementation of evidence-generation strategies to demonstrate unmet disease needs, focusing on outcomes meaningful to payers, clinical decision-makers, and regulators
• Assist with research activities to generate evidence supporting product differentiation and value for commercial, market access, clinical development, regulatory, and safety needs
• Support project execution and coordination with external partners and vendors across RWE initiatives
• Collaborate with cross-functional teams including development, commercial, market access, safety, legal, and medical affairs
• Support communication and publication strategies, including preparation of analyses for scientific conferences and forums

• Execute real-world evidence studies and communicate results to internal stakeholders
• Build and maintain RWE data visualization tools
• Support preparation of presentations and publications of study results

• Extract raw data from servers and conduct statistical analyses according to protocol specifications using real-world data (RWD)
• Develop code lists for new measures in collaboration with RWE researchers
• Create data specifications and analytical datasets by writing and executing programs across observational databases
• Perform quality assurance and validation of code and data
• Draft analysis reports and support final publication and presentation of results
• Develop visualization and automation tools using secondary data sources, including RWD and systematic or targeted literature review data

• Graduate degree in Epidemiology, Biostatistics, Public Health, Informatics, or a related field
• Minimum of 3 years of post-graduate experience in:
  • Statistical programming (SAS or R)
  • Database programming (SQL or Python)
• Experience with data visualization and dashboard tools (e.g., R Shiny, Power BI, Excel)
• Basic therapeutic area knowledge in oncology (solid tumors and hematologic malignancies)
• Experience with U.S. secondary data sources required; international data experience preferred
• Proven experience in observational research study design, execution, and communication
• Strong understanding of epidemiology and outcomes research methodologies, including retrospective and prospective studies
• Working knowledge of epidemiologic and statistical concepts such as confounding, bias, incidence rates, regression models, survival analysis, and propensity score methods
• Ability to work effectively in a fast-paced, matrixed, and evolving environment
• Strong written and verbal communication skills
• Collaborative mindset with strong teamwork and stakeholder engagement skills

Screening Requirements

• Criminal Check

• Education Verification

• Employment Verification

• FDA Debarment / Global Sanctions

• Federal Criminal Search (7-year)

• National Sex Offender Registry

• SSN Trace & Validation

• Widescreen Plus National Criminal Search