Senior Scientist, Computational Chemistry

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• 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

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering 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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Company

Company stage

Growth-stage Verified - from the job posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Senior Scientist, Computational Chemistry San Diego HQ, San Diego, California, United States JOB SUMMARY We are seeking a skilled and highly motivated Computational Chemist to join our Computational Sciences group at the Iambic Therapeutics headquarters in San Diego. You will be a key player in the application of advanced ligand and structure-based techniques to drive our drug discovery efforts. You will play an active role in the research teams pursuing important therapeutics across multiple indications. You will work in a cross-functional team, collaborating closely with machine learning scientists, medicinal chemists and biologists to apply cutting edge SBDD methods across hit identification, lead optimization, and candidate selection phases. This is a hands-on role, requiring technical expertise in computational chemistry, a strong interest in the application of co-folding, familiarity with the drug discovery process and a proactive drug-hunter mindset. This role is based in our San Diego Headquarters. KEY RESPONSIBILITIES - Apply a range of ligand and structure-based approaches across hit identification, hit to lead and lead optimization phases (e.g. cheminformatics, pharmacophore modeling, docking and shape-based based virtual screening, de novo molecular design, MD simulation) - Guide design cycles through the identification of structure-activity relationships and the integration of computational predictions with bioactivity data - Partner with medicinal chemists to design, evaluate and prioritize virtual libraries, and propose actionable molecular designs - Partner with ML scientists to integrate SBDD methods with our proprietary transformer-based property prediction technology (Enchant) - Leverage and evolve our proprietary protein-ligand co-folding technology (NeuralPLexer) to yield novel and

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.