Principal Scientist Inflammation Human Data & Computational Biology

About the Role

Combine experimental and computational strategies to accelerate discovery and development of innovative therapies. Bring deep expertise across wet-lab biology and AI/ML-driven computational and agentic research approaches, enabling human-data-driven understanding of disease mechanisms and therapeutic opportunities.

Key Responsibilities

• Continuously apply computational, agentic and other AI-driven approaches to generate mechanistic insights, refine therapeutic hypotheses, and guide experimental design.
• Design, execute, analyze, and interpret studies to investigate disease mechanisms and test therapeutic hypotheses.
• Generate high-quality experimental data to support target identification, validation, and progression of Inflammation research programs.
• Integrate experimental findings with published literature, human genetics, clinical observations, and other data sources to develop mechanistic insights and inform scientific decision-making.
• Participate in scientific discussions, target reviews, and portfolio evaluations by contributing data-driven insights and recommendations.
• Present scientific findings and recommendations to project teams, governance forums, and departmental meetings.
• Maintain accurate documentation and contribute to organizational knowledge-sharing efforts.
• Embrace and contribute to a culture of scientific curiosity, collaboration, continuous learning, and operational excellence.

Basic Qualifications

• Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] and 2 years of Industry experience in Inflammation/Immunology research
• OR Masters degree and 5 years of Industry experience in Inflammation/Immunology research
• OR Bachelors degree and 7 years of Industry experience in Inflammation/Immunology research

Preferred Qualifications

• Experience working effectively within highly collaborative and matrixed research environments.
• Ability to balance scientific rigor with urgency and adaptability in a dynamic research environment.
• Demonstrated commitment to teamwork, knowledge sharing, and continuous improvement.

Benefits

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible