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Remote Bioinformatics Methods Scientist (PhD)-681639

Remote Worldwide Hiring now

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) reputed company for drug discovery.

What You'll Do

  • reputed company advanced bioinformatics analyses and reproduce methods-heavy publications to support assigned research projects.
  • reputed company expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts.

reputed company'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, reputed company-seq, Perturb-seq (CRISPR screens), and whole-exome reputed company (WES)
  • PhD in Bioinformatics, Computational Biology, Systems Biology, or a reputed company life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)
  • Demonstrated ability to reproduce, reputed company, and reputed company 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

Apply for this role Takes you straight to the employer's application page — free, and no WFHNet account required.

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