Computational Scientist, Assay Development

🏢 Manifoldbio · 📍 Boston 💰 $118,000 - $118,000 / yr

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Position Summary & Responsibilities

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. Using proprietary molecular barcoding technology, we screen hundreds of thousands of protein designs simultaneously in living systems, producing in vivo-validated datasets at a scale no one else can match. The datasets power our computational models, which leads to better drug designs, creating a flywheel that gets stronger with every campaign. Our team of protein engineers, biologists, and computational scientists works across this full stack to pursue programs both internally and with leading pharma companies.

Position

Manifold Bio is seeking an exceptional Computational Scientist to join our growing Quantitative Biology team. You will work closely with experimental scientists to design and analyze highly multiplexed protein library experiments. You will specifically be working with traditional phage and yeast display readouts, as well as other proprietary display data. You will be expected to own and independently advance projects in areas related to your deep expertise such as protein design, DNA library design, or machine learning/biophysical modeling from MPRA data. You will work closely with our Head of Platform and our other computational scientists to onboard new capabilities that advance the M-Design platform for data-driven engineering of drugs with desired properties.

Responsibilities

Invent new quantitative protein engineering assays working with experimental scientists
Build robust data pipelines with rich metrics and statistics for real-time dataset analysis and reporting
Perform analysis and "hit calling" support, contributing new insights to active projects
Improve library design workflows to best co-optimize antibody libraries for enhanced performance
Write and contribute robust code in shared libraries for common protein design tasks
Collaborate on designing high-throughput experiments and analyze/interpret results from phage display (biopanning, phi-seq, in vivo) and yeast display platforms
Deliver high-quality data reporting through slides and documentation for cross-functional teams

🎯 Candidate Preparation Guide For Manifoldbio Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Scientific rigor combined with high-velocity engineering is tested intensely; interviewers look for pioneers who can build multiplexed protein measurement platforms at scale.

📋 Preparation Priorities (Key Areas to Clarify):

1. Working strictly in academic silos without an appreciation for commercial drug discovery timelines
2. Inability to troubleshoot unexpected assay failures with data-driven pragmatism
3. Resistance to cross-disciplinary collaboration between wet-lab scientists and computational teams

✨ Recommended Role Alignment Hook:

I build high-throughput protein measurement engines that accelerate therapeutic discovery by turning complex biological data into actionable insights.

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