AI Biologist – Drug Development

This is a fully remote position, open to applicants in California.

📋 Description

• Participate in assessing the performance of agents throughout the drug discovery and development pipeline, from target validation to IND-enabling studies.

• Convert preclinical data into decisions regarding program advancement or termination.

• Develop realistic program case studies encompassing target validation, lead optimization, candidate nomination, and IND-enabling studies.

• Compile multimodal preclinical data packages, including SAR/potency panels, ADME/PK profiles, in vivo efficacy, GLP toxicology, safety pharmacology, and biodistribution data.

• Analyze PK/PD, GLP toxicology, and safety pharmacology results across various modalities and development phases.

• Synthesize program go/no-go decisions from diverse data sources.

• Review and rigorously evaluate AI agent outputs for pharmacological accuracy.

• Adjust AI agent confidence levels on incomplete or contradictory preclinical data.

• Collaborate with software engineers and scientists in creating datasets and AI agent tasks throughout the drug development process.

⛳️ Requirements

• An advanced degree (MS/PhD/PharmD) in pharmacology, toxicology, pharmaceutical sciences, medicinal chemistry, or a related biomedical field, or equivalent experience in the industry.

• Minimum of 3 years of practical experience in pharmaceutical or biotech drug discovery and development.

• Direct experience with lead optimization, candidate nomination, or the design of IND-enabling studies in at least one modality.

• Proficient in interpreting PK/PD, ADME, and GLP toxicology data to guide dose selection and risk evaluation.

• Knowledge of IND-enabling regulatory standards and the nonclinical data package required by the FDA/EMA is advantageous.

• Familiarity with GLP toxicology, safety pharmacology, genotoxicity, biodistribution, and bioanalytical assays.

• Experience in assessing SAR, potency, selectivity, and developability trade-offs among candidate molecules.

• Excellent scientific writing capabilities.

• Competence in utilizing AI agents and the ability to discern technically accurate yet pharmacologically or practically flawed reasoning.

• Comfort in navigating uncertainty and proactively identifying data or instruction gaps.

• Demonstrated agency and initiative.

🏝️ Benefits

• Performance-based pay linked to weekly quota achievements.

• Full on-target earnings (OTE) for the duration of special projects.

• Full OTE for a day if the platform experiences downtime.

• Full OTE for the first four weeks during the onboarding process.

• Comprehensive health, dental, and vision insurance: fully covered for you, 50% coverage for dependents.

• 401(k) plan with no matching contribution.

• Starting with 12 days of paid time off (PTO), increasing with promotions.

• Equity opportunities.

• Promotions based on performance, with OTE increases at each level.

• Options for remote, hybrid, or onsite work.

• Catered lunches and dinners for onsite employees.

• Unlimited access to snacks.

• Company outings organized most months.

• Team offsite events.

• H-1B sponsorship, including transfers.

• O-1 sponsorship.

• TN sponsorship.

• Support for STEM OPT.