Data Scientist (Computational Biologist)

Key Skills

ANOVA, Biomedical Imaging, Deep Learning, Design of Experiment, Effective communication skills, Python Programming, R Programming, Regression Analysis, Statistical modeling

Job Description

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 technologies and therapeutic programs.

Key Responsibilities

The goals and responsibilities of this position include:

• Drive new therapeutic programs forward through end-to-end ownership of data science efforts, including design and analysis of antibody discovery campaigns, implementation and execution of antibody design strategies for synthesis and characterization, and critical analysis of the resulting experimental data.
• Improve the quality of BigHat produced antibodies through the design, implementation, and evaluation of statistical methods that optimize diverse antibody biophysical properties.
• Collaborate closely with BigHat wet lab, software engineering, and other team members to enable rapidly iterative molecule development.
• Innovate new strategies to QC, represent, integrate, model, and interpret diverse datasets for designing new antibody sequences.

This role reports directly to the Programs Data Science Lead and has broad responsibilities across BigHat for pipeline development.

About You

• PhD in a relevant domain [Computational Biology, Statistics, Computer Science, Bioengineering, 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).
• Competency in Python, R, or similar programming languages.
• Excellent communication skills, experience interacting with diverse scientific teams.
• Enjoys a fast paced environment and executing across multiple projects.

Nice-to-haves include:

• • Experience with data from phage display, NGS, and immunological assays.
  • Work in therapeutic antibody development.

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 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.