Manifold Bio
Computational Scientist, Assay Development
$118K–$138K
Boston +1 · Full-time · Posted May 4, 2026
- Location
- Boston
Boston, Massachusetts, United States - Experience
- PhD and/or 4+ years of equivalent experience.
- Education
- PhD and/or equivalent experience.
About the job
Designs and analyzes multiplexed protein-library experiments, builds data pipelines and computational tools, and applies data insights to improve protein and antibody engineering.
What you'll do
- Invent quantitative protein engineering assays and collaborate on designing and interpreting high-throughput experiments.
- Build data pipelines, analyze and report results, and support hit calling for active projects.
- Improve library design workflows and contribute robust code for protein design tasks.
What they ask for
- PhD and/or 4+ years of equivalent experience in a related field working with biological sequences.
- Strong understanding of statistics and data analysis methodologies; rich experience with Python, agentic coding, and data pipeline development.
- Experience with MPRAs, high-throughput screening data analysis, DNA library design, and NGS data from library-based experiments.
- Familiarity with version control, test-driven development, and Unix computing.
Nice to have
- Industry experience in antibody therapeutics or biotechnology R&D; computational tools or pipelines adopted by experimental teams.
- Familiarity with AWS or GCP; antibody engineering experience; mentoring or cross-functional leadership; relevant publications or patents.
Pay
$118,000-138,000 USD base salary
Tools
Python, Unix, AWS, GCP, MPRAs, NGS, phage display, yeast display
AI focus
Uses machine learning and computational models to support protein design and data-driven engineering of drugs with desired properties.
Model-written summary · the original posting is authoritative