AI Biologics Research Scientist - Hybrid SF

Kelly; San Francisco (CA); Hybrid; USD 145,000 - 170,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Kelly Science & Clinical is seeking an AI Research Scientist for a direct hire in a biotech startup in the San Francisco Bay Area. The role is hybrid in SF, focusing on building AI benchmarks for therapeutic antibody development and working with leading AI and pharmaceutical teams.

The candidate will turn biologics development decisions into rigorous benchmark tasks, evaluate readouts, and collaborate with software engineers to create measurable evaluation standards in developability, PK,

Qualifications

• PhD in protein engineering, biochemistry, analytical chemistry, pharmacology, or related field.
• Hands-on experience analyzing antibody development data.
• Deep expertise in analytical or CMC characterization, large-molecule DMPK, protein engineering or developability, or nonclinical safety.
• Strong understanding of how experimental readouts relate to critical quality attributes, PK and effector properties.
• Python or R skills for data analysis.
• Regular use of AI tools and ability to judge model reasoning.

Responsibilities

• Turn development workflows into rigorous benchmark tasks.
• Develop evaluations across developability triage, analytical and CMC characterization, PK and FcRn reasoning, immunogenicity and safety, and first-in-human dose projection.
• Write gold-standard answers from raw data and set tolerances for variability.
• Curate data fixtures spanning developability panels and various analytical assays.
• Partner with software engineers to translate scientific judgment into practical workflows.

Skills

Python for data analysis

AI tools usage

Communicating uncertainty

Biologics data analysis

Developability knowledge

Education

PhD in protein engineering/biochemistry/analytical chemistry/pharmacology or related field

Tools

Python

R

Job description

Kelly Science & Clinical is seeking an AI Research Scientist for a direct hire in a biotech startup in the San Francisco Bay Area. The role is hybrid in SF, focusing on building AI benchmarks for therapeutic antibody development and working with leading AI and pharmaceutical teams.

The candidate will turn biologics development decisions into rigorous benchmark tasks, evaluate readouts, and collaborate with software engineers to create measurable evaluation standards in developability, PK,