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: 

1) 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 

2) Working in a small team of 5-6 computationalists to develop interdisciplinary skills in data infrastructure, data pipelines, scaling and automating pipelines, and bioinformatics 

3) Collaborating with multiple internal groups on cross-functional projects

4) Creating presentations and providing written and verbal updates on scientific findings 

Required Qualifications: 

1) 3+ years of industry experience relevant to statistical modeling and/or machine learning 

2) Experience in building and testing statistical and/or machine learning models (support vector machines, random forests, convolutional neural networks, etc.)

3) Building and/or modifying scalable machine learning architectures (CNN, LSTM, etc.) 

4) Experience scaling large deep learning networks 

5) Self-motivated and a proactive thinker – can work independently and in teams

6) Relevant experience in statistics and machine learning 

7) Excellent written and communication skills presenting and discussing scientific data 

Preferred Qualifications:

1) Master’s or PhD degree or equivalent in relevant field 

2) Previous roles in managing teams and projects 

3) Knowledge in any of the following fields: structural biology, immunology, protein engineering, cancer biology 

4) Experience in applying computational models to protein structure data (affinity prediction, protein-protein docking, homology-based predictions, physics-based predictions) 

5) Experience utilizing Amazon Web Services tools to scale and automate pipelines 6) 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.