Senior Epidemiologist

Target RWE•Research Triangle Park, NC

6h•Hybrid

About The Position

NoviSci, a division of Target RWE, is a data science organization with a dual mission: Developing best-in-class software to support the generation of RWE and Executing high-impact, tech-enabled scientific consulting and research. Overview We are currently seeking a Senior Epidemiologist to join a team of epidemiologists, statisticians, data engineers, and software developers. Together, you will lead the design and implementation of research studies using complex, real-world data. In this role, you will apply leading-edge methodology in epidemiology and statistics to solve important problems in health care.

Requirements

Advanced degree (PhD or equivalent) in epidemiology, biostatistics, or a related quantitative discipline
4+ years of post-doctoral experience, preferably in a biotech or scientific consulting environment
Experience with observational research methods for causal inference (e.g., inverse probability weighting, negative control outcomes/exposures, target trial emulation, quantitative bias analyses) coupled with a genuine intellectual curiosity to dig deep and explore novel approaches to answer hard questions
Demonstrated experience leading research projects teams from conception to publication
Experience with administrative claims or electronic health record data, including familiarity with using diagnosis, procedure, and medication coding algorithms to operationalize eligibility criteria, exposure status, and clinical outcomes in real-world data.
Strong aptitude for precise and impactful scientific writing evidenced by a record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation.
Strong organizational and planning skills including an ability to independently troubleshoot problems and think analytically in a fast-paced environment
Willingness to take initiative while maintaining open lines of communication with colleagues and senior leadership.
Excellent time management skills and ability to multi-task and prioritize work

Nice To Haves

Expertise in statistical programming using R
Experience mentoring junior research staff

Responsibilities

Independently design and conduct research studies using advanced epidemiologic and statistical methods, such as causal inference and machine learning
Lead a cross-functional technical team to ensure scientific integrity and methodological rigor across all phases of the study lifecycle including initial design, protocol development, implementation of statistical analysis, and dissemination of results
Serve as a key scientific point of contact, engaging directly with clients and external collaborators. Comfort and proficiency in client-facing roles are essential skills
Disseminate study findings via study reports, presentations to internal and external stakeholders, peer-reviewed publications, and abstracts and presentations at professional conferences
Provide technical support to the business development team to develop competitive scientific proposals