PhD-Level Computational Biologists

the platform is seeking expert bioinformaticians for a Docker toolkit curation project with one of the world's leading AI labs. In this role, you will specify the complete set of bioinformatics tools needed to solve specific classes of computational biology problems. You will review representative problems and validate the final toolkit to solve these. Your selections directly shape how frontier models approach real scientific problems. This is a toolkit specification role, not a problem-solving role. You are selecting and validating tools — not writing code or producing solutions. Ideal Qualifications:

• PhD or Master's degree in bioinformatics, computational biology, genomics, or a closely related field.
• Hands-on experience with at least 3 of the following: protein structure analysis, variant effect prediction, RNA-seq/expression analysis, ChIP-seq/epigenomics, single-cell analysis, CRISPR screen analysis, molecular docking, or cheminformatics.
• Deep familiarity with the standard tool ecosystem for your subdomain (e.g., Rosetta, FoldX, DESeq2, MAGeCK, AutoDock Vina, HOMER, scanpy, etc.).
• Proficiency in Python and/or R for bioinformatics workflows.
• Familiarity with command-line bioinformatics tools (e.g., samtools, BEDTools, BLAST).
• Strong opinions on tool selection — you know what you'd install to solve a problem before you start. Key Responsibilities:
• Review representative problems from your assigned problem class to understand the data shape and expected output.
• Specify a complete toolkit: Python/R packages, system tools, etc. each with a brief rationale. Timeline: - 2-week engagement starting upon onboarding.
• Assignments are distributed by problem class based on your domain expertise. Interview Process:
• Short screening questionnaire to assess subdomain expertise and tool familiarity.