Remote | PhD-Level Computational Biologists — $60–$85/hour
24-MAG, San Francisco, CA, United States
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
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
PhD or Master's degree in bioinformatics, computational biology, genomics, or a closely related field.
Hands‑on experience with at least three of: 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.
We are unable to support H1‑B or STEM OPT candidates at this time.
Interview Process The 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.
By submitting this application, you acknowledge that your information may be processed by 24‑MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24‑mag.com/privacy-policy.
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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
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
PhD or Master's degree in bioinformatics, computational biology, genomics, or a closely related field.
Hands‑on experience with at least three of: 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.
We are unable to support H1‑B or STEM OPT candidates at this time.
Interview Process The 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.
By submitting this application, you acknowledge that your information may be processed by 24‑MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24‑mag.com/privacy-policy.
#J-18808-Ljbffr