Scientist II, Cheminformatics

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

$88K-$126K not verified - source not recorded; timestamp not recorded

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

4% below the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Scientist II, Cheminformatics Cambridge, MA The Opportunity: Relay Therapeutics is seeking a highly motivated Scientist to join our Drug Discovery team in a unique hybrid role that integrates synthetic chemistry with cheminformatics. This position is ideal for a scientist who enjoys working at the interface of experimental and computational disciplines and is excited to help shape how data-driven chemistry is done in a modern biotech environment. Your Role: - Maintain and support tools used in compound registration, lab operations and data ingestion from assays, as well as broader data and software access workflows - Design and execute synthetic chemistry workflows, with a focus on high-throughput or parallel synthesis to support medicinal chemistry programs - Contribute to the design, enumeration, and prioritization of compound libraries using cheminformatics tools - Collaborate closely with computational chemists, data scientists, and medicinal chemists to guide compound design using data-driven insights - Analyze and interpret experimental data to inform structure-activity relationships (SAR) and compound optimization - Help develop and refine internal workflows that integrate synthetic chemistry with computational approaches - Maintain clear documentation and communicate results effectively across multidisciplinary teams Your Background: - Ph.D. or M.S. in Organic Chemistry or a related field, with 2-5 years of relevant industry experience preferred - Demonstrated experience in synthetic organic chemistry - Familiarity with cheminformatics tools and concepts (e.g., molecular representations, library design, property prediction) - Experience with scripting or data analysis tools (e.g., Python, RDKit) - Strong problem-solving skills and the ability to work both independently and collaboratively

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