ML Scientist, Molecular Design Platform

Posted 24 Days Ago
Be an Early Applicant
Cambridge, MA
In-Office
Mid level
Biotech
The Role
The ML Scientist will develop deep learning models for generative biomolecular design, lead research initiatives, and advance AI-powered drug discovery.
Summary Generated by Built In

Company:

FL117, a venture-back stealth AI x bio startup, is seeking a highly skilled ML Scientist. Here you will build out the methods, models and data that guide the development of a next gen generative model for drug design. We are looking for those excited to work on ambitious projects in a fast-paced environment to push the frontier of AI-powered drug discovery

Responsibilities:

  • Collaborate with foundation modeling team on the development of next-gen models for drug design.
  • Implement the benchmarking protocols, baselines, splits and metrics necessary to guide development of a best-in-class molecular design software stack.
  • Conduct analysis of methods, models, and data to guide development of next-gen molecular design stack.
  • Identify, onboard and homogenize data from public and proprietary sources in a scalable and reproducible manner to train and benchmark a molecular generation platform.
  • Implementation of cheminformatics/bioinformatics pipelines to support the execution of molecular design and selection for synthesis and invitro screening.

Must-have Qualifications:

  • MSc or PhD in Computer Science, AI/ML, Computational Biology/Chemistry, or a related field.
  • Prior experience with generative AI for chemistry and protein design
  • Strong Python skills and experience with PyTorch.
  • Prior experience curating/handling large public data

Preferred Experience:

  • Contributed to open-source data projects in biology/chemistry. Please send your GitHub, if applicable.
  • Strong presence in the ML community through publications and conference proceedings. Please send a list of publications, if applicable.
  • Knowledge of biological data formats (FASTA, SDF, PDBx/mmCIF) and domain-specific ontologies/metadata standards
  • Experience with models like ESM, DiffDock, ProteinMPNN, OpenFold, etc.
  • Familiarity with ML software development and cloud services (Docker, AWS Batch, Step Functions, EKS, AWS ParallelCluster, etc.)
  • Experience with librariers like: rdkit, rosetta, prody, biopython, pymol, openmm, dagster, prefect, etc.

About Flagship

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

Top Skills

AWS
Biopython
Dagster
Docker
Openmm
Prefect
Prody
Pymol
Python
PyTorch
Rdkit
Rosetta
TensorFlow
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The Company
HQ: Cambridge, MA
475 Employees
Year Founded: 2000

What We Do

Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability.

Since its launch in 2000, the firm has applied a unique, hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value. To date, Flagship is backed by >$3 billion of aggregate capital commitments, of which over $1.5 billion has been deployed toward the founding and growth of its pioneering companies alongside >$10 billion of follow-on investments from other institutions.

The current Flagship ecosystem includes Denali Therapeutics (NASDAQ: DNLI), Evelo Biosciences (NASDAQ: EVLO), Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Seres Therapeutics (NASDAQ: MCRB), and Syros Pharmaceuticals (NASDAQ: SYRS).

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