Data Scientist (Computational Biologist)
The Role: BigHat Biosciences is seeking an exceptional Data Scientist to join our growing team. This position will accelerate BigHat’s data science capabilities focused on advancing BigHat’s state-of-the-art antibody engineering platform and therapeutic programs.
Key Responsibilities
The goals and responsibilities of this position include:
- Advance BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models
- Drive our therapeutic programs forward by synthesizing our high-throughput, multimodal data into actionable analyses, models, and visualizations to help us deliver on our optimization goals
- Collaborate closely with BigHat wet lab, program leads, software engineering, ML scientists, and other team members to enable rapid, iterative molecule development
- Innovate new strategies to QC, represent, integrate, model, and interpret diverse datasets for designing new antibody sequences.
This role is within BigHat’s Data Science team, and has broad responsibilities across BigHat for development of our platform and data science capabilities.
About You
- PhD in a relevant domain [Computational Biology, Statistics, Computer Science, Bioengineering, Bioinformatics, or similar].
- 3+ years of developing, evaluating, and applying a data science toolkit in the biomedical space, including: classic statistical models (regression, ANOVA, random effects models), experimental design, data visualization, and AI/ML techniques (SVMs, deep learning).
- 1+ years of experience in industry, working in cross-functional teams and supporting therapeutic projects
- Proficient in Python and experienced with cloud computing infrastructure like AWS and with version control like Github or Gitlab
- Excellent communication skills, experience interacting with diverse scientific teams.
- Enjoys a fast paced environment and executing across multiple projects.
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Nice-to-haves include:
- Experience in therapeutic antibody development
- Experience with data from phage display, NGS, and immunological or protein biophysical assays (e.g. BLI or SPR, thermostability, SEC, etc.).
- Experience in Vega, Vega-lite, React, or similar programming languages.
About BigHat Biosciences
BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology.
BigHat integrates a wet lab for high-speed characterization with machine learning technologies to guide the search for better antibodies. We apply these design capabilities to develop new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.
BigHat integrates a wet lab for high-speed characterization with machine learning technologies to guide the search for better antibodies. We apply these design capabilities to develop new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.
BigHat is a Series B biotech outside San Francisco with a team-oriented, inclusive, and family-friendly culture. Our broad pipeline of wholly-owned and partnered therapeutic programs span many disparate indications with high unmet need, such as cancer, inflammation, and infectious disease. BigHat has raised >$100M from top investors, including Section 32, a16z, and 8VC.
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