

Mercor
PhD-Level Computational Biologist — Design Data-Centric Benchmarks for AI Models
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a PhD-Level Computational Biologist for a 1-month freelance contract, offering $65–85/hour. Key skills include experience with omics datasets, proficiency in Python, R, or bash, and familiarity with bioinformatics tools. Remote work with a commitment of 15–20 hours/week.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
680
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🗓️ - Date
December 9, 2025
🕒 - Duration
1 to 3 months
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🏝️ - Location
Remote
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Bash #AI (Artificial Intelligence) #Batch #Metadata #Datasets #Jupyter #Python #ADaM (Analysis Data Model) #Visualization #R
Role description
1. Role Overview
Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks.
1. Key Responsibilities
Design biologically grounded problems with a single correct answer and 20 plausible distractors
Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI)
Subsample and anonymize datasets to prevent metadata-based inference
Independently validate solutions through custom analysis pipelines and visualizations
Operate within technical constraints (e.g., file size, task time limits)
1. Ideal Qualifications
Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec)
Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM)
Comfortable coding in Python, R, or bash, and working in Jupyter notebooks
Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects)
Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics
1. More About the Opportunity
Remote and asynchronous — set your own schedule
Expected commitment: 15–20 hours/week
Project duration: ~1 month
Potential for additional projects based on performance and interest
1. Compensation & Contract Terms
$65–85/hour depending on experience and geography
Paid weekly via Stripe Connect
Structured as a freelance contract — independent contractor status
1. Application Process
Submit your resume to get started
Qualified applicants will complete a short form assessing technical experience
Follow-up steps may include a sample task or review call
Responses typically within 3–5 business days
1. About Mercor
Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.
Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.
Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.
1. Role Overview
Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks.
1. Key Responsibilities
Design biologically grounded problems with a single correct answer and 20 plausible distractors
Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI)
Subsample and anonymize datasets to prevent metadata-based inference
Independently validate solutions through custom analysis pipelines and visualizations
Operate within technical constraints (e.g., file size, task time limits)
1. Ideal Qualifications
Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec)
Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM)
Comfortable coding in Python, R, or bash, and working in Jupyter notebooks
Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects)
Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics
1. More About the Opportunity
Remote and asynchronous — set your own schedule
Expected commitment: 15–20 hours/week
Project duration: ~1 month
Potential for additional projects based on performance and interest
1. Compensation & Contract Terms
$65–85/hour depending on experience and geography
Paid weekly via Stripe Connect
Structured as a freelance contract — independent contractor status
1. Application Process
Submit your resume to get started
Qualified applicants will complete a short form assessing technical experience
Follow-up steps may include a sample task or review call
Responses typically within 3–5 business days
1. About Mercor
Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.
Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.
Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.






