Senior Scientist, Systems Biology

Main Responsibilities

• Analyze and leverage spatial and single-cell multiomic data to delineate pathogenic cell states and tissue microenvironments, generating actionable mechanistic insights and novel target hypotheses that directly inform drug discovery decisions.
• Design intelligent agentic workflows that streamline the deployment of innovative algorithms and computational models.
• Contribute to the evaluation and application of foundation models and virtual cell models to advance our understanding of disease biology.
• Collaborate closely with interdisciplinary and cross-functional teams, including biologists, chemists, data scientists, and other stakeholders.
• Lead and contribute to high-profile presentations and publications, ensuring effective communication of research findings and methodologies.
• Support the growth of the team by mentoring interns and junior scientists, sharing knowledge and fostering a collaborative research environment.

About You

• PhD completed by August 2026 in systems biology, computational biology, computer science, applied mathematics, or a related field with 0-3 years of relevant academic or industry experience.
• Experience in analyzing cellular multiomic data in academia or industry using Python.
• Hands-on experience building or deploying agentic analysis workflows.
• Record of productivity, innovation, and impact, demonstrated through publications or patents.
• Strong communication, organizational, interpersonal, and teamwork skills, with a successful history of collaboration across analytical disciplines.

Preferred

• Postdoctoral training experience.
• Familiarity with or interest in addressing challenges related to combinatorial synergy and tailored deployments of foundation and virtual cell models.