Scientist, Chemistry
Listed on 2026-10-06
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Research/Development
Drug Discovery, Pharmaceutical Science/ Research, Research Scientist, Biotechnology
Our organization combines synthetic chemistry expertise with robotics and automation:
Our long term vision is to build an autonomous synthetic chemistry lab that delivers small-molecule discovery chemistry services to pharmaceutical and biotechnology clients. We are seeking a Scientist to join our Medicinal Chemistry group and contribute directly to client drug discovery programs. The successful candidate will design and execute multi-step organic syntheses, propose and evaluate synthetic routes, and generate high-quality compounds and data in support of hit-to-lead and lead optimization campaigns.
Beyond bench chemistry, this role plays a key part in our automation mission: the compounds, reactions, and characterization data generated will help build structured, high-quality training datasets for machine learning models, and the chemist will work directly with AI scientists and roboticists to translate synthetic know-how into automated and self-optimizing chemistry platforms. This is a hands-on role requiring strong technical execution, sound chemical judgment, and comfort operating at the interface of traditional bench chemistry and emerging lab automation.
Key Responsibilities- Design, plan, and execute multi-step organic synthesis of target compounds in support of client medicinal chemistry and hit-to-lead/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 (yield, selectivity, purity, scalability) and troubleshoot synthetic problems using sound mechanistic reasoning.
- Purify and characterize intermediates and final compounds using standard techniques (column chromatography, prep-HPLC, recrystallization) and analytical methods (LCMS, NMR, HPLC, HRMS).
- Accurately and promptly record experimental procedures, observations, and results in electronic laboratory notebooks (ELN) in accordance with company and client documentation standards.
- Support scale-up of key intermediates and final compounds as required by project needs.
- Communicate progress, data, and route strategy clearly and regularly to project leaders and, where applicable, directly to client scientists.
- Generate clean, well-structured experimental data (reaction inputs/outputs, conditions, yields, analytical results) suitable for use as high-quality training data for machine learning and reaction-prediction models.
- Partner closely with AI scientists and roboticists to translate synthetic routes and bench protocols into procedures executable on automated/robotic synthesis platforms, providing chemistry expertise during platform design, testing, and validation.
- Provide hands-on feedback on automated workflows (liquid handling, automated reaction setup, in-line analytics) and help troubleshoot discrepancies between manual and automated execution of chemistry.
- Support iterative improvement of self-driving lab and automated chemistry capabilities by flagging edge cases, failure modes, and data quality issues encountered at the bench.
- Maintain compliance with laboratory safety protocols, chemical hygiene procedures, and proper handling/disposal of hazardous materials.
- Manage time and priorities effectively across multiple concurrent projects and client deadlines.
- Contribute to continuous improvement of synthetic methods, workflows, and best practices within the chemistry group.
- B.S. or M.S. in Chemistry, Organic Chemistry, Medicinal Chemistry, or a related discipline.
- 0-3 years of relevant synthetic organic chemistry experience (industry, CRO, or advanced academic/graduate research); internship or co-op experience 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 (NMR, LCMS, HPLC) to confirm structure and purity.
- Solid understanding of laboratory safety practices and safe handling of reactive/hazardous chemicals.
- Strong record-keeping and documentation habits; experience with ELN systems is a plus.
- Excellent organizational skills with the ability to manage multiple projects and shifting priorities in a deadline-driven environment.
- Effective written and verbal communication skills, with the ability to present data clearly to project teams.
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