Bioinformatics PhD - Toolkit Specialist

• Review representative problems from your assigned problem class to understand the data shape and expected output.
• Specify a complete toolkit including Python/R packages and system tools, each with a brief rationale.
• Validate the final toolkit to ensure it solves specific classes of computational biology problems.
• Shape how frontier models approach real scientific problems through your tool selections.
• Work independently and collaboratively to meet project deadlines.

• 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).
• Proficiency in Python and/or R for bioinformatics workflows.
• Familiarity with command-line bioinformatics tools (e.g., samtools, BEDTools, BLAST).

• Short screening questionnaire to assess subdomain expertise and tool familiarity.

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