Remote | PhD-Level Computational Biologists — $60–$85/hour

We are sharing a specialised part-time consulting opportunity for expert bioinformaticians and computational biologists with strong tool ecosystem knowledge, deep domain expertise, and the ability to make precise toolkit selection judgments across complex computational biology workflows.

This role supports an exciting collaboration with one of the world's leading AI labs focused on improving how frontier models approach real scientific problems through high-quality toolkit specification and validation in computational biology.

Selected professionals will review representative computational biology problems, specify complete bioinformatics toolkits for assigned problem classes, validate final tool selections, and help improve overall model quality. This opportunity is especially well-suited to highly analytical professionals who are comfortable evaluating bioinformatics workflows, selecting the right tool stack for a problem before execution begins, and applying strong judgment across specialised research domains.

Key Responsibilities

Professionals in this role may contribute to:

Toolkit Specification & Validation

Specify the complete set of bioinformatics tools needed to solve assigned classes of computational biology problems

Validate final toolkit selections against representative problems

Help ensure that selected tools reflect strong technical judgment, completeness, and practical relevance

Problem Class Review & Workflow Understanding

Review representative problems from assigned problem classes to understand data shape and expected output

Apply domain expertise to assess which tools are most appropriate for each workflow

Help ensure that toolkit choices align with real-world scientific use cases

Bioinformatics Tool Selection Support

Recommend Python and R packages, system tools, and related workflow components with brief rationale

Contribute expertise across specialised subdomains within computational biology

Help improve model quality through careful selection of robust, high-value scientific tools

Ideal Profile

Strong candidates may have:

A 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 or expression analysis, ChIP-seq or epigenomics, single-cell analysis, CRISPR screen analysis, molecular docking, or cheminformatics

Deep familiarity with the standard tool ecosystem for their subdomain

Proficiency in Python and/or R for bioinformatics workflows

Familiarity with command-line bioinformatics tools such as samtools, BEDTools, and BLAST

Preferred Qualifications

Strong opinions on tool selection and workflow design

Ability to identify the right toolkit for a problem before execution begins

Comfort working across specialised scientific problem classes with minimal supervision

High attention to detail and strong consistency in technical evaluation tasks

Why This Opportunity

Contribute specialised computational biology expertise to a cutting-edge AI collaboration

Help shape how frontier AI models approach real scientific problems

Work on high-impact toolkit curation tasks with strong research relevance

Flexible remote work with competitive hourly compensation

Contract Details

Independent contractor role

Fully remote with flexible scheduling

Hourly compensation of $60–$85 per hour

2-week engagement starting upon onboarding

Assignments distributed by problem class based on domain expertise

Projects may be extended, shortened, or concluded early depending on project needs and performance

Weekly payments via Stripe or Wise

Work will not involve access to confidential or proprietary information from any employer, client, or institution

Please note: We are unable to support H1-B or STEM OPT candidates at this time

Interview process includes a short screening questionnaire focused on subdomain expertise and tool familiarity

About The Platform

This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.

Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific content validation.

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