Technical Lead - Collixoin Therapeutics

• Worked with and analyzed large-scale biological datasets from public sources
• Differential expression analysis, pattern recognition, and biological interpretation of cancer cell line and patient tumor data
• Understanding of how gene expression data is structured, normalized, and made meaningful in a research context

• Building AI-powered applications that turn biological data into structured, interpretable predictions
• LLM API integration – designing prompt architectures that produce scientifically grounded outputs
• Knowing when AI adds genuine value and when simpler statistical approaches are more appropriate

• Python proficiency – building pipelines that process, analyze, and output biological data reliably and reproducibly
• Experience deploying functional applications that non-technical collaborators can interact with
• A builder instinct – you write code to ship things that work, not to demonstrate technical elegance

• Background in computational biology, bioinformatics, systems biology, or biomedical engineering
• scRNA-seq analysis experience
• Prior experience at an early-stage biotech, research startup, or translational academic lab
• Genuine curiosity 
  
  

Who This Is For

What We Offer

• Equity in an early-stage company – meaningful, negotiated based on commitment and contribution, vesting with cliff
• A genuine thought partnership – your expertise and judgment shape what gets built, not just how it gets built
• LabCentral lab space and full genomics infrastructure including 10X Chromium X, NextSeq 2000, and spectral flow cytometry
• C10 Labs AI Biohub program – mentorship and the Boston biotech ecosystem