Computational Biologist

Boston Children's Hospital • Boston, MA

90d

About The Position

The Cell Discovery Network (CDN) at Boston Children's Hospital is seeking a Computational Biologist or Machine Learning Scientist to lead the development of a framework for modeling and reprogramming rare disease-relevant cell types. This new initiative, inspired by recent progress in human organoid systems, iPSC-based modeling, and single-cell technologies, aims to unlock therapeutic strategies for neglected pediatric diseases by computationally guiding the discovery and modeling of disease-critical cell states. This position offers the opportunity to integrate cutting-edge computational methods (e.g., generative models, foundation models, optimal transport) with a deep understanding of human developmental biology and stem cell differentiation.

Requirements

• Master's Degree in biology, bioinformatics, computer science or related study is required.
• 2 years of experience in computational biology, bioinformatics, machine learning, systems biology, or a related field is required.
• Minimum of two years of position-specific experience might potentially include experience acquired through MSc or Ph.D. studies.

Responsibilities

• Curate and analyze public and in-house datasets (including organoid and iPSC-derived models).
• Identify rare or disease-associated cell types from large-scale single-cell and organoid datasets.
• Determine where similar phenotypes have been observed across developmental systems or model organisms.
• Build and apply machine learning and AI models (e.g., generative or trajectory-based models, foundation models) to identify and compare rare cell states.
• Model cellular trajectories and propose reprogramming strategies to reach desired cell phenotypes from accessible starting points (e.g., iPSCs).
• Prioritize therapeutic strategies for disease modeling and compound screening.

Benefits

• Flexible schedules
• Affordable health, vision and dental insurance
• Child care and student loan subsidies
• Generous levels of time off
• 403(b) Retirement Savings plan
• Pension
• Tuition and certain License and Certification Reimbursement
• Cell phone plan discounts
• Discounted rates on T-passes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Hospitals
• Education Level: Master's degree