Manifold Bio

Manifold Bio

Computational Scientist, Assay Development

Boston

Sponsorship not specified$118k-$138kDetected 27 days ago
PythonFull-Stack DevelopmentAWSGCPLinuxMachine LearningData AnalysisData EngineeringStatisticsHIPAABioinformaticsNGSAnimal StudiesCommunicationCollaborationMentoring

About the role

  • 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 specifically be working with traditional phage and yeast display readouts, as well as other proprietary display data.

Responsibilities

  • 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
  • Strong antibody engineering background with first-hand experience in antibody design, optimization, or discovery
  • 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.
  • You will work closely with experimental scientists to design and analyze highly multiplexed protein library experiments.

Requirements

  • PhD and/or 4+ years of equivalent experience in computational biology, bioinformatics, protein engineering, antibody engineering, or similar field working with biological sequences
  • Rich experience with Python, agentic coding, data pipeline development
  • Familiarity with version control, test-driven development, and Unix computing
  • Experience with massively parallel reporter assays (MPRAs) and high-throughput screening data analysis
  • Experience designing DNA libraries for binders, DMS, phage display, or equivalent high-throughput experiments
  • Experience working with Next Generation Sequencing (NGS) data from library-based experiments
  • Strong understanding of statistics fundamentals and data analysis methodologies

Nice to have

  • Intuition or exposure to best practices in software/data engineering
  • Industry experience in antibody therapeutic development or biotechnology R&D
  • Experience mentoring junior scientists or leading cross-functional project teams
  • Familiarity with cloud computing platforms (AWS, GCP) and containerization technologies
  • You thrive in collaborative environments where computational insights directly guide experimental decisions
  • You're energized by translating complex datasets into actionable recommendations for drug discovery teams
  • You're passionate about the therapeutic potential of engineered antibodies and want to accelerate their development
  • You love working at the intersection of cutting-edge computational methods and innovative experimental platforms

Compensation

  • Final compensation decisions are made using a consistent leveling framework and consider the candidate's experience, interview performance, and expected impact.
  • $118,000-138,000
  • This role is eligible for:
  • Annual performance-based target bonus
  • Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.
  • If you're excited to build a platform that combines these technologies to revolutionize how protein therapeutic discovery happens, please reach out to careers@manifold.bio.

Benefits

  • Annual performance-based target bonus
  • Comprehensive medical, dental, and vision coverage
  • Flexible paid time off and holidays
  • 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.
  • This reflects the typical offer range for this role, based on experience, role scope, and internal equity.
  • Perks including on-site gym, onsite lunch, and commuter support

Company info

  • 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.
Apply directly at Manifold Bio →Create a free account for alerts like thisView Manifold Bio immigration profile

This listing is sourced directly from Manifold Bio's careers page and normalized into a canonical job model.