Analysis strategy for high-throughput data in BioPharma
Consulting Services
- I work as a long-term fractional FTE at biotechs, in a variety of roles such as Head of Translational Science, Head of Computational Biology.
- I provide custom solutions and teach workshops on AI tools and upskilling, specific to biopharma data analysis.
- I advise VC on portfolio ML/AI strategy, due diligence, and newco execution.
- I advise biotech startups, especially in the seed/pre-seed stages, on transitioning their science into industry, honing their pitch, preparing for diligence, planning and communicating de-risking milestones, assessing product-market-fit.
Current Workshop Offerings
- Agentic coding for Computational Biology
- AI for deep research and source-verified generation
- Best Practices for AI-assisted knowledge work in biopharma
Background
Sonia Timberlake has spent the last 15 years building biotech startups, as a head of computational biology and head of Research. Sonia currently consults for biotechs and VC on leveraging novel high throughput technologies and AI to accelerate R&D. As head of translational research at a cell therapy biotech, she built a discovery platform based on a novel beside-to-bench translation of genomic data for target ID and hit ID, and is transitioning it to the clinic. Sonia has a BS from Caltech and a PhD from MIT.