About the Role

We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our research organization. This hybrid role is ideal for someone who thrives at the intersection of biology, computation, product strategy, and engineering execution.

As a senior member of the Translational Platform Engineering team, you will act as a product owner, technical strategist, and rapid prototyper, responsible for shaping the roadmap and delivering tools that power discovery teams. Your day to day includes working with biology data scientists to harden their notebooks and workflows, pushing new releases to production (on a predictable schedule), and sitting with biologists and chemists as they use the UIs to advance our translational biology efforts. The Staff Computational Biologist is the key to translating use cases into technical specifications for engineering teams.

This is a highly visible and impactful role where you will contribute to a human-biology-first approach to drug discovery programs by leading the end-to-end lifecycle of platform capabilities used daily by our Target ID scientists.

What You’ll Do…

• Own the product roadmap for Target ID software.
• Gather and prioritize scientific requirements from internal users.
• Translate use cases into technical specifications for engineering teams.
• Rapidly prototype computational solutions using Python.
• Develop and maintain internal packages, reproducible workflows, and APIs.
• Establish documentation, onboarding materials, and best practices for internal platform usage.
• Lead cross-functional project execution (data engineering, software engineering).
• Follow good engineering practices (i.e. CI/CD, predictable demo cadence, etc.)

What You Bring...

• Bachelor's/ Master's degree in relevant field (computational biology, bioinformatics, systems biology, computer science) or equivalent relevant education and experience
• 6+ years industry experience in computational biology or data-driven discovery; minimum 1 years’ experience in software engineering and data engineering teams
• Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages
• Experience with omics/translational data analysis, scalable ETL pipelines, data modeling, and associated QC
• 1+ years’ experience leading complex projects as product owner
• Experience supporting target identification, prioritization, or multi-modal analysis.

Nice to have...

• Experience with dashboard development (e.g. Shiny, Dash, Streamlit, React, Veu.js).
• Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).
• Familiarity with the drug discovery and development process is a plus