Research and development company leveraging the biology of emerging research organisms
August 28
🏢 In-office - Bay Area
Research and development company leveraging the biology of emerging research organisms
• Design architectures for predictive/generative evolutionary models • Expand proof-of-concept results into scalable and generalizable approaches • Engineer comparative datasets • Work collaboratively to integrate ML approaches into diverse Platform efforts • Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work
• Ph.D. or equivalent in biology with a focus on computation or a Ph.D. or equivalent in computer science with a focus on comparative biology • Specialization in or experience with some combination of: deep learning, ML/AI, phylogenetics, evolutionary genetics, comparative/speciation genomics, comparative phylogenetics, trait evolution, natural selection • Cross-disciplinary collaboration • Fluency in multiple coding programming experience (e.g. Python, R, bash) • Applied expertise in one or several frameworks for building ML/AI models (e.g., pytorch, tensorflow, JAX) • Multiple computational infrastructures such as AWS cloud computing • Has a commitment to sharing scientific processes and results openly and in a timely manner
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