Lead Scientist, Human Genetics & Translational Discovery

Boehringer Ingelheim; Ridgefield (CT); Hybrid; USD 140,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Relocation assistance

Discretionary bonus

Job summary

Boehringer Ingelheim is seeking a Principal Scientist to advance human genetics‑driven drug discovery across multiple disease areas. You will lead analyses on biobank‑scale data, mentor teams, and contribute to mechanistic insight and translational biomarkers.

The role requires a PhD in a genetics‑focused field and 5+ years of post‑PhD experience, with strong programming, collaboration, and project management skills. Hybrid work and competitive benefits are offered in the United States.

Qualifications

• PhD in Statistical Genetics, Genetic Epidemiology, Computational Biology or related field with genetics focus.
• 5 years of post‑PhD experience in disease translation within academia, pharma or biotech.
• In‑depth knowledge in one Boehringer Ingelheim disease focus area.
• Proven track record delivering value through human genomics.
• Strong computing and programming experience in relevant languages.

Responsibilities

• Partner with cross‑functional teams to advance therapeutic strategies using human genetics evidence.
• Contribute to analyses and build datasets with global human genetics teams.
• Lead strategic initiatives and act as subject matter expert.
• Collaborate across internal departments and with academic/industry partners.
• Utilize biobank‑scale datasets and translational approaches.
• Plan and prioritize genetics analysis activities aligned with research strategy.

Skills

Genetics expertise

Computational skills

Collaboration & communication

Project management

Translational biology

Education

PhD in Statistical Genetics / Genetic Epidemiology / Computational Biology

Tools

R

Python

SAS

Job description

Boehringer Ingelheim is seeking a Principal Scientist to advance human genetics‑driven drug discovery across multiple disease areas. You will lead analyses on biobank‑scale data, mentor teams, and contribute to mechanistic insight and translational biomarkers.

The role requires a PhD in a genetics‑focused field and 5+ years of post‑PhD experience, with strong programming, collaboration, and project management skills. Hybrid work and competitive benefits are offered in the United States.