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PhD Synthetic and Analytical Chemist, AI Expert
Weekday (YC W21). Collaborate with AI research and engineering teams to identify scientific knowledge gaps and improve model performance across synthetic chemistry, reaction mechanisms, structure elucidation, and physicochemical property prediction .
Posted 11/12/2026part-timeRemote • United States, United KingdomMid-LevelSenior💰 $70 - $100 per hourWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in synthetic chemistry and analytical techniques, with a strong ability to design and evaluate chemistry tasks and datasets. Proficient in interpreting spectroscopic data and providing technical feedback to enhance AI model performance and scientific accuracy.
Highest-signal resume keywords
PhD In ChemistrySmall-Molecule SynthesisNMR SpectroscopyMass SpectrometryCheminformatics Platforms
ATS Keywords
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Hard Skills
Synthetic ChemistryMulti-Step Synthesis Route PlanningReaction OptimizationSpectroscopic CharacterizationAnalytical Data InterpretationChemical Logic EvaluationTask Specification DevelopmentGrading Rubric CreationLaboratory Failure Mode AssessmentMolecular Representation Review
Soft Skills
Strong Written CommunicationClear Explanation Of Complex Concepts
Tools & Technologies
NMRHPLCLC-MSIR SpectroscopyAI-Powered Research Tools
Industry Keywords
Synthetic ChemistryOrganic ChemistryMedicinal ChemistryAnalytical ChemistryPhysical ChemistryScientific ReasoningAI Model EvaluationTraining DatasetsChemical FeasibilitySMILES
About the role
Key responsibilities & impact- Collaborate with AI research and engineering teams to identify scientific knowledge gaps and improve model performance across synthetic chemistry, reaction mechanisms, structure elucidation, and physicochemical property prediction
- Design domain-specific chemistry tasks, benchmarks, and training datasets assessing scientific reasoning
- Develop structured solutions for complex chemistry problems, including multi-step synthesis route planning, reaction optimization, and spectroscopic characterization
- Evaluate AI-generated responses and step-by-step reasoning for chemical logic, factual accuracy, and scientific tool usage
- Provide written technical feedback to improve AI model reliability and scientific accuracy
- Develop task specifications, grading rubrics, and verification processes for chemistry-related data
- Assess experimental designs, identify laboratory failure modes, and validate chemical feasibility
- Review molecular representations, including SMILES, for chemical correctness and consistency
- Collaborate with subject-matter experts to maintain scientific accuracy and quality across AI training datasets
Requirements
What you’ll need- PhD in Chemistry, preferably in Synthetic Chemistry, Organic Chemistry, Medicinal Chemistry, Analytical Chemistry, Physical Chemistry, or a closely related discipline; equivalent research experience may also be considered
- At least 3 years of hands-on chemistry experience within a recognized organization
- Practical experience in small-molecule synthesis, including designing and executing multi-step synthetic routes, reaction setup, monitoring, optimization, troubleshooting, and improving reaction outcomes
- Hands-on experience with NMR spectroscopy, mass spectrometry, IR spectroscopy, HPLC, and LC-MS
- Ability to interpret analytical and spectroscopic data and assess compound identity, purity, and structural characteristics
- Familiarity with cheminformatics platforms, scientific software, and AI-powered research tools
- Strong written communication skills and ability to explain complex chemical concepts and technical decisions clearly
- Ability to commit reliably to at least 20 hours per week during weekdays
- Preferred: experience with SMILES and SMARTS; AI model evaluation, scientific reasoning assessments, or AI agent testing; scientific benchmarks, training datasets, grading rubrics, or structured evaluation frameworks; translating laboratory procedures and chemical reasoning into structured technical documentation
- Applicants must be based in the United Kingdom or on the US East Coast
- H-1B and STEM OPT candidates cannot be supported
Benefits
Comp & perks- Fully remote work arrangement
- Flexible schedule
- Weekly payments through Stripe or Wise
- Engagements may be extended, shortened, or concluded early depending on project requirements and performance
- Minimum 20 hours per week, primarily on weekdays