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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in peptide discovery, including experimental design, quantitative data analysis, and the ability to evaluate binding and functional tradeoffs. Proficient in Python for data analysis and familiar with AI agents for enhancing experimental workflows.
Highest-signal resume keywords
PhD In Peptide ChemistryPeptide Discovery ExperienceQuantitative Data Analysis In PythonExperimental DesignAI Agent Utilization
ATS Keywords
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Hard Skills
Peptide ChemistryBiochemistryBiophysicsStructural BiologyMedicinal ChemistryBinding-Site MappingKinetic FittingDose-Response FittingData CurationStatistical Analysis
Soft Skills
JudgmentCommunicationConfidence Calibration
Tools & Technologies
PythonRClaudeCursorSPR/BLIFluorescence PolarizationAffinity-Selection MSHDX-MSCrosslinking-MSNMR
Industry Keywords
Peptide DiscoveryHit GenerationLead OptimizationBinding KineticsFunctional ConfirmationAgent ReasoningExperimental ArtifactsTradeoffs EvaluationDevelopabilityGround Truth
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Define expert reasoning for peptide discovery questions and write gold-standard answers with rationale
- Design realistic scenarios across target tractability, hit generation, hit confirmation and kinetics, binding-site mapping, functional confirmation, and lead optimization
- Curate datasets from display selection, SPR/BLI, fluorescence polarization, affinity-selection MS, HDX-MS, crosslinking-MS, NMR, dose-response, permeability, and stability programs
- Build Python analysis pipelines for enrichment analysis, kinetic fitting, and dose-response fitting
- Produce verifiable ground truth with tolerances across replicates and fitting routines
- Partner with software engineers to create benchmark workflows
- Test whether AI agents distinguish true signals from experimental artifacts
- Adjudicate conflicting binding-site and engagement evidence
- Evaluate tradeoffs between binding, function, potency, and developability
- Interrogate agent reasoning step by step
- Identify agent errors and explain what evidence would change the conclusion
- Score agent confidence and reward appropriate uncertainty
Requirements
What you’ll need- PhD in peptide chemistry, biochemistry, biophysics, structural biology, medicinal chemistry, or a related field
- Senior, hands-on peptide discovery experience analyzing real program data
- Direct experience with at least one of: display selection, SPR/BLI or FP binding kinetics, binding-site mapping by structural MS or NMR, or peptide developability
- Deep expertise in at least one area: display and selection, biophysics, structural mapping, or peptide medicinal chemistry
- Working fluency across the other peptide discovery areas
- Strong command of experimental design, quantitative data analysis in Python or R, and statistics
- Daily use of Claude, Cursor, or similar AI agents
- Judgment to identify technically correct but scientifically unsound model reasoning
- Ability to calibrate confidence and communicate uncertainty
- US citizenship, permanent residency, or OPT-holder status
- Unable to require STEM OPT extension or visa sponsorship
Benefits
Comp & perks- Uncapped upside
- Guaranteed pay for weeks 1–4 while ramping
- Full-time work on your own schedule
- Catered lunch and dinner daily for onsite workers
- Waterfront office in Mission Bay
- Monthly parking when available
- Company outings most months
- Team off-sites
- Latch run club, cycling, boxing, ice skating, and soccer
- Radical transparency and autonomy over how you work