Senior ML Scientist — Generative Chemistry & Molecules

Flagship Pioneering, Inc.

Cambridge (MA)

On-site

USD 168,000 - 259,000

Full time

5 days ago
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Benefits offered by this job

Weekly lunches
Monthly social events
Community lunchroom with free snacks

Job summary

Flagship Labs FL129 seeks a Senior Scientist to join a growing team of experimental and computational scientists developing a novel platform for generative chemistry and molecular modeling. You will contribute to technology development, data curation, and benchmark design while collaborating with wet-lab colleagues.

The role emphasizes leadership in a highly collaborative, multi-disciplinary environment with strong organizational and communication skills.

Qualifications

  • Ph.D. in ML, computational biology, or a related field with 5+ years of experience.
  • Experience with SOTA models such as Boltz-2, ESM-2, Chai-2 and related.
  • Experience training and fine-tuning molecular models for proteins and small molecule ligands.
  • Expertise in Python and HPC/cloud compute workflows.
  • Nice to have: deep structural understanding of proteins.

Responsibilities

  • Technology development aligned with FL129’s core strategic goals.
  • Develop, train, validate, and apply novel generative chemistry and molecular models.
  • Curate training and benchmark datasets and design rigorous benchmarks to assess model performance.
  • Optimize existing workflows and establish best practices for platform excellence.
  • Collaborate with wet lab scientists to drive key project goals.
  • Translate experimental data into meaningful insights and present results at team meetings.

Skills

Python
HPC
Cloud compute
Communication

Education

Ph.D. in ML/Computational biology or related field

Tools

Python
HPC
Cloud compute

Job description

Flagship Labs FL129 seeks a Senior Scientist to join a growing team of experimental and computational scientists developing a novel platform for generative chemistry and molecular modeling. You will contribute to technology development, data curation, and benchmark design while collaborating with wet-lab colleagues.

The role emphasizes leadership in a highly collaborative, multi-disciplinary environment with strong organizational and communication skills.

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