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Warp Sciences

AI-driven chemistry CRO for lead optimization

Scientist – Chemistry

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • A B.S. or M.S. in Chemistry, Organic Chemistry, Medicinal Chemistry, or a related discipline.
  • 0–3 years of relevant synthetic organic chemistry experience in industry, a contract research organization, or advanced academic/graduate research; internship or co-op experience is considered for entry-level candidates.
  • Demonstrated hands-on experience with multi-step organic synthesis and standard purification techniques.
  • Working knowledge of retrosynthetic analysis and route design principles.
  • Proficiency interpreting spectroscopic and analytical data, including nuclear magnetic resonance, liquid chromatography–mass spectrometry, and high-performance liquid chromatography, to confirm structure and purity.
  • Solid understanding of laboratory safety practices and safe handling of reactive and hazardous chemicals.
  • Strong record-keeping and documentation habits; experience with electronic laboratory notebook systems is a plus.
  • Ability to manage multiple projects and shifting priorities in a deadline-driven environment.
  • Ability to present data clearly to project teams.

Responsibilities

  • Design, plan, and execute multi-step organic synthesis of target compounds in support of client medicinal chemistry and hit-to-lead or lead-optimization programs.
  • Propose and evaluate synthetic routes, including retrosynthetic analysis, selection of viable pathways, and identification of scalable, cost-effective alternatives.
  • Perform reaction optimization for yield, selectivity, purity, and scalability, and troubleshoot synthetic problems using mechanistic reasoning.
  • Purify and characterize intermediates and final compounds using column chromatography, preparative high-performance liquid chromatography, and recrystallization, and use analytical methods including liquid chromatography–mass spectrometry, nuclear magnetic resonance, high-performance liquid chromatography, and high-resolution mass spectrometry.
  • Record experimental procedures, observations, and results accurately and promptly in electronic laboratory notebooks according to company and client documentation standards.
  • Support scale-up of key intermediates and final compounds as project needs require.
  • Communicate progress, data, and route strategy to project leaders and, where applicable, directly to client scientists.
  • Generate clean, structured experimental data—including reaction inputs and outputs, conditions, yields, and analytical results—for use as training data for machine-learning and reaction-prediction models.
  • Partner with AI scientists and roboticists to translate synthetic routes and bench protocols into procedures executable on automated or robotic synthesis platforms, providing chemistry expertise during platform design, testing, and validation.
  • Provide hands-on feedback on automated workflows, including liquid handling, automated reaction setup, and in-line analytics, and help troubleshoot discrepancies between manual and automated chemistry execution.
  • Support iterative improvement of self-driving lab and automated chemistry capabilities by identifying edge cases, failure modes, and data-quality issues encountered at the bench.
  • Follow laboratory safety protocols and chemical hygiene procedures, and properly handle and dispose of hazardous materials.
  • Manage time and priorities across concurrent projects and client deadlines.
  • Contribute to continuous improvement of synthetic methods, workflows, and best practices within the chemistry group.

Desired Qualifications

  • Prior contract research organization, pharmaceutical, or biotechnology industry experience supporting drug-discovery programs.
  • Experience with parallel synthesis, medicinal chemistry structure-activity relationship exploration, or DMPK-informed compound design.
  • Familiarity with chemistry software tools such as ChemDraw, electronic notebooks, and reaction database or search tools.
  • Experience with air- and moisture-sensitive chemistry, flow chemistry, or automated or robotic synthesis platforms.
  • Interest or prior experience in AI- or machine-learning-driven chemistry, cheminformatics, or self-driving laboratory concepts, and enthusiasm for collaborating with AI scientists and roboticists on lab automation.
  • Comfort with structured data entry and appreciation for how data quality and consistency affect downstream machine-learning model performance.
  • Authorship or contribution to publications, patents, or internal technical reports.

About the Company

Warp Sciences

AI-driven chemistry CRO for lead optimization

Warp Sciences is a US-based chemistry contract research organization (CRO) that combines chemists, artificial intelligence, and robotics to create and test molecules for biotech and pharmaceutical companies. It does not own a drug pipeline; customers decide which molecules to pursue and retain control of their drug programs. Its initial service is lead-optimization analog synthesis, where variations of promising molecules are produced and compared by research teams to select drug candidates. Chemists design experiments while the lab becomes increasingly automated; data from experiments trains AI models that help run the lab more efficiently. Customers pay per compound delivered. The company aims to bring discovery chemistry work back to the United States and was founded by Kevin Weil, DJ Patil, Sol Reisberg, and Mano Paluri, with backing from investors like Lightspeed and Mayfield.

Company size
1-10
Company stage
Early VC
Total funding
$215M
Headquarters
South San Francisco, CA
Founded
2026

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