Remote Bioinformatics Methods Scientist (PhD)-681639
About Us
We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI.
The Role
You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery.
What You'll Do
• Perform advanced bioinformatics analyses and reproduce methods-heavy publications to support assigned research projects.
• Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts.
What We're Looking For
• Hands-on expertise across multiple high-complexity assay types, including but not limited to single-cell methods (scRNA-seq, scATAC-seq, multiome), spatial genomics/transcriptomics, bulk ATAC-seq, ChIP-seq, Perturb-seq (CRISPR screens), and whole-exome sequencing (WES)
• PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)
• Demonstrated ability to reproduce, benchmark, and extend methods from cutting-edge bioinformatics publications, including implementing published algorithms and adapting them to new datasets
Offer Details
• Commitment: 15–30 hours/week (with overlap in PST)
• Compensation: Highly competitive, top 10% of industry rates
• Engagement: Contractor/freelancer (no medical or paid leave)
• Duration: 1 month, with possible extension
• Remote: Fully remote, collaborative environment
Pay: $80.00 - $150.00 per hour
Work Location: Remote
Apply To This Job
Apply To This Job
We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI.
The Role
You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery.
What You'll Do
• Perform advanced bioinformatics analyses and reproduce methods-heavy publications to support assigned research projects.
• Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts.
What We're Looking For
• Hands-on expertise across multiple high-complexity assay types, including but not limited to single-cell methods (scRNA-seq, scATAC-seq, multiome), spatial genomics/transcriptomics, bulk ATAC-seq, ChIP-seq, Perturb-seq (CRISPR screens), and whole-exome sequencing (WES)
• PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)
• Demonstrated ability to reproduce, benchmark, and extend methods from cutting-edge bioinformatics publications, including implementing published algorithms and adapting them to new datasets
Offer Details
• Commitment: 15–30 hours/week (with overlap in PST)
• Compensation: Highly competitive, top 10% of industry rates
• Engagement: Contractor/freelancer (no medical or paid leave)
• Duration: 1 month, with possible extension
• Remote: Fully remote, collaborative environment
Pay: $80.00 - $150.00 per hour
Work Location: Remote
Apply To This Job
Apply To This Job