Biostatistician, Pharmacoepidemiology

We are a leading bioscience and information technology company specializing in translational research, biomedical informatics, and data science applications. Our mission is to empower decision-making and accelerate research discoveries through innovative tools and techniques. With a dedicated team of experts in biomedical science, software engineering, and program management, we collaborate with renowned research centers and healthcare organizations nationally and internationally. Benefits We Offer: Comprehensive Medical, Dental & Vision Coverage
Generous Paid Time Off and Holidays
401K Matching Program
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts for Healthcare, Parking, Dependent Care, and Transportation
Job Description:
We are seeking a dynamic and motivated Biostatistician, Pharmacoepidemiology to join our vibrant team at the National Institutes of Health (NIH) in Rockville, MD. In this role, you will play a pivotal part in developing Real World Evidence (RWE) curriculum for the National Covid Cohort Collaborative (N3C) under the new AIM-AHEAD program. The AIM-AHEAD initiative aims to transform scientific insights into educational resources for future investigators, researchers, and collaborators. Responsibilities: Develop RWE curriculum for the AIM-AHEAD extension of N3C.
Collaborate with instructional designers to create innovative epidemiology courseware.
Serve as a subject matter expert on RWE and NCATS leadership.
Implement recommendations on standardization, reproducibility, and data transparency.
Develop standards for the operationalization and effective use of Causal and AI/ML methods applied to Real-World Data (RWD).
Lead the design and execution of RWE studies using observational data.
Present findings internally, to the NIH, and at selected conferences.
Qualifications: Ph.D. or Postdoc preferred; Minimum MS in computer science, (bio)statistics, or similar quantitative degree, or MPH with relevant experience.
Proven track record of working with real-world clinical data.
Familiarity with medical coding systems and modern machine learning techniques.
Proficiency in R and Python with knowledge of SQL and data management.
Strong oral and written communication skills with a positive attitude and creative outlook.
NIH experience is preferred.
Disclaimer:
The above description outlines the general nature of the position and the level of effort expected. It is not an exhaustive list of all responsibilities and duties. We are committed to fostering diversity and providing equal opportunity in employment. If you are passionate about leveraging data science to drive healthcare advancements and want to be part of a dynamic team dedicated to making a difference, we encourage you to apply!
Employment Type: Full-Time
Salary: $ 126,709.00 Per Year