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Valo Health

Machine learning–driven drug discovery platform

Associate Director/Director - Head of DEL Discovery Strategy and Informatics

Biology & BiotechPosted on Nov 9
Full-timeLexington, MA, USAIn-person

About the Job

Requirements

  • A PhD in protein sciences, chemistry, computational chemistry, chemical biology, or a related field, with at least eight years of relevant industry experience applying DNA-encoded libraries in drug discovery.
  • Demonstrated expertise identifying and executing successful DNA-encoded library campaigns for a variety of targets, including protein classes that are typically challenging for DNA-encoded library selections.
  • Strong understanding of DNA-encoded library strategy, from library design and selection through data analysis, hit identification, off-DNA validation, and chemistry-start planning.
  • A track record of using DNA-encoded library-derived data to initiate or advance medicinal chemistry programs and generate validated chemical matter.
  • Strong grounding in protein sciences, organic chemistry, on-DNA chemistry, medicinal chemistry principles, cheminformatics, and large experimental datasets.
  • Current knowledge of emerging DNA-encoded library technologies and the ability to assess which innovations should be adopted, partnered, or built internally.
  • Experience working across artificial intelligence and machine learning, data science, computational chemistry, biology, and protein sciences to turn DNA-encoded library data into predictive insight and project decisions.
  • People leadership, cross-functional influence, and the ability to communicate strategic recommendations clearly to senior stakeholders.

Responsibilities

  • Set the strategic roadmap for using DNA-encoded libraries as a first-line discovery approach to initiate chemistry campaigns across the portfolio.
  • Lead and develop a team of four to five scientists spanning DNA-encoded library informatics, on-DNA chemistry, analysis, and discovery strategy.
  • Define DNA-encoded library deployment strategy, including target tractability, library fit, selection design, controls, counterscreens, and project-start decision criteria.
  • Translate DNA-encoded library selection outputs into actionable chemistry starts through enrichment analysis, hit-family triage, structure–activity relationship hypotheses, off-DNA validation, and analog prioritization.
  • Partner with medicinal chemistry, computational chemistry, biology, protein sciences, in vitro pharmacology, and data science to advance DNA-encoded library-derived hits into validated, chemically tractable series.
  • Lead a team to build scalable DNA-encoded library data workflows that generate high-quality, reusable, model-ready datasets for the Opal platform and artificial intelligence- and machine learning-driven discovery.
  • Scout, evaluate, and apply emerging DNA-encoded library technologies, including next-generation library design, DNA-compatible chemistry, advanced selection methods, sequencing analytics, and machine-learning-guided interpretation.
  • Communicate strategy, tradeoffs, and recommendations to project teams and senior leaders to drive portfolio decisions.

About the Company

Valo Health

Machine learning–driven drug discovery platform

Valo Health focuses on drug discovery and development using its Opal Computational platform, which combines machine learning, tissue biology, and patient data to identify potential drug candidates and speed up the research process. The platform brings together software engineers, data scientists, biologists, and medicinal chemists to provide a suite of tools that streamline discovery and optimize candidate selection. Revenue comes from partnerships with pharmaceutical companies and research institutions, including access fees, milestone payments, and royalties tied to the success of drugs developed with Valo Health’s technology. Unlike others in the field, Valo Health combines data-driven ML methods with deep life-sciences expertise in a single platform to reduce time and cost in bringing therapies to market. The company aims to deliver breakthrough solutions that improve health outcomes for patients by accelerating drug development.

Company size
201-500
Company stage
Late Stage VC
Total funding
$527.5M
Headquarters
Lexington, MA
Founded
2019

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