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Director, RWE Scientist

Job in Headquarters, Clearwater County, Idaho, USA
Listing for: Crinetics Pharmaceuticals, Inc.
Full Time position
Listed on 2026-07-06
Job specializations:
  • Business
    Data Scientist
Salary/Wage Range or Industry Benchmark: 196000 - 245000 USD Yearly USD 196000.00 245000.00 YEAR
Job Description & How to Apply Below
Location: Headquarters

Crinetics is a pharmaceutical company based in San Diego, California, developing therapies for people with endocrine diseases and endocrine‑related tumors. Founded by a dedicated team of scientists, we use rigorous innovation to create better treatments and improve patient lives. We maintain a discovery engine and a robust pipeline from preclinical through clinical development, all delivered in a patient‑centric, team‑oriented culture that values inclusion and diversity.

Position

Summary

The Director, Real‑World Evidence (RWE) Scientist designs, executes, and delivers real‑world studies within the HEOR/RWE function, with a primary focus on the atumelnant program—congenital adrenal hyperplasia (CAH) (adult and pediatric) and Cushing’s disease—from launch through lifecycle management. Reporting to the Senior Director, Head of the RWE Center of Excellence, the Director Owns Crinetics’ CAH RWD assets and leads the full range of observational studies including burden of illness, natural history, patient journey, treatment patterns, drug utilization, external control arms, and comparative effectiveness.

The role requires strategic oversight of external analysts and study vendors, deep analytical engagement, and production of timely, decision‑ready evidence for integrated value programs and HTA submissions.

Essential Job Functions and Responsibilities
  • Design and execute real‑world studies for the atumelnant program (CAH adult, CAH pediatric, Cushing’s disease) covering burden of illness, natural history, patient journey, treatment patterns, drug utilization, external control arms and comparative effectiveness.
  • Own and steward Crinetics’ CAH RWD assets, ensuring continuity, documentation and reusability of cohorts, code lists and analytic datasets.
  • Lead analyses using large healthcare databases (insurance claims, EHRs, registries, linked datasets) and primary RWD collection (chart reviews, surveys).
  • Develop study protocols, statistical analysis plans and feasibility assessments; perform database selection and confirm that patient counts and study variables exist in available data.
  • Translate evidence priorities set by HEOR/RWE TA Leads into executable analyses tied to launch and lifecycle milestones.
  • Apply rigorous epidemiologic and outcomes‑research methods, including causal‑inference and bias‑control techniques for observational data.
  • Lead and mentor external analysts, scoping work, directing analyses and reviewing deliverables for methodological quality.
  • Oversee RWE study vendors, managing CRO/data‑vendor execution against scope, timelines, budget and deliverable quality.
  • Contribute RWE outputs to integrated evidence plans, value dossiers and HTA submissions in partnership with TA Leads and cross‑functional stakeholders.
  • Collaborate with the RWE Center of Excellence, Modeling & Simulation, Biometrics and external data and analytics partners on study design and execution.
  • Prepare manuscripts, abstracts and congress presentations communicating RWE findings.
  • Ensure compliance with corporate policies and US healthcare laws and regulations governing real‑world data use.
  • Perform other duties as assigned.
Education and Experience
  • Advanced degree in epidemiology, biostatistics, health services research, health economics or related discipline (PhD, MD, PharmD, MPH, MSc).
  • Minimum of 10 years of relevant pharmaceutical, biotech or HEOR consulting experience executing observational research.
  • Proven experience leading and developing teams, including external analysts or vendor partners.
  • Demonstrated expertise designing and executing observational studies using large real‑world datasets (claims, EHR, registries).
  • Strong working knowledge of real‑world data programming and analytics (R preferred; SQL, SAS or Python also valued). Ability to guide and review analyses.
  • Knowledge of epidemiologic and outcomes‑research methodologies, including causal‑inference and bias‑control techniques for observational data.
  • Experience with feasibility assessment, database selection and study‑design strategies to address real‑world data limitations.
  • Experience overseeing external analysts and/or CRO/data vendors, including scoping, oversight, budget…
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