Position Specifics:

South San Francisco, CA

3T Biosciences will bring something that the field of immunotherapy sorely needs – targets that will help us bring therapies to cure cancer in broad populations. We are developing transformative T cell receptor therapies for cancer and other immune-related diseases. Our proprietary technology allows us to identify T cell receptor targets as well as potential off-targets to combat clinical toxicities.

Culture:

We’re committed to making a difference for patients. Our creative, dynamic, and out-of-the box thinking makes 3T Biosciences the perfect engine to drive therapeutic solutions to reality. We’re looking for enthusiastic and bright-minded individuals to bring their talents to a cohesive and ambitious team.

Your Typical Responsibilities:

  • Building, testing, optimizing, and executing statistical and/or machine learning models (support vector machines, random forests, convolutional neural networks, etc.) related to DNA/RNA/protein data for novel target discovery
  • Working in a small team of 3-4 computationalists to develop interdisciplinary skills in data infrastructure, data pipelines, scaling and automating pipelines, and computational biology
  • Interfacing with a team of computational and experimental biologists to aid in experimental and computational designs
  • Collaboration with the Therapeutic Discovery and Protein Engineering teams

Required Qualifications:

Master’s or PhD degree or equivalent in relevant field
Experience in building and testing statistical and/or machine learning models (support vector machines, random forests, convolutional neural networks, etc.)
Self-motivated and a proactive thinker – can work independently and in teams
Relevant experience in statistics and machine learning
Excellent written and communication skills presenting and discussing scientific data

Preferred Qualifications:

  • 2+ years of industry experience relevant to statistical modeling and/or machine learning
    Previous roles in managing teams and projects
  • Knowledge in any of the following fields: structural biology, immunology, protein engineering, cancer biology
  • Experience in applying computational models to protein structure data (affinity prediction, protein-protein docking, homology-based predictions, physics-based predictions)
  • Experience analyzing next-generation sequencing data (exome, RNA, genome)
  • Experience utilizing Amazon Web Services tools to scale and automate pipelines
  • Parallel computing strategies to accelerate data analysis

Please contact info@3tbiosciences.com with your cover letter and resume.

Please contact info@3tbiosciences.com with your cover letter and resume.