insitro · 2 weeks ago
Scientist II, Protein Sciences
South San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$130K/yr - $145K/yr
2+ years expInsitro is a drug discovery and development company utilizing machine learning and data to transform medicine. They are seeking a Scientist II to join their Protein Sciences team, responsible for biophysical characterization of biologic molecules and driving molecular interaction analysis while collaborating with data science and AI teams.
BiotechnologyHealth CareLife ScienceMachine LearningPharmaceuticalTherapeutics
Responsibilities
Biophysical characterization of tool and therapeutic biologic molecules, peptides, and small molecules
Drive the analysis of molecular interactions using techniques such as bi-layer interferometry (BLI), surface plasmon resonance (SPR), thermophoresis, and calorimetry
Act as a subject matter expert in the design of optimal constructs, purification regimes, and structural characterization
Play an integral role in repertoire discovery and computational biologics engineering
Liaise between laboratory efforts and insitro’s data science and AI teams to advance a high-value portfolio of candidates into the clinic
Qualification
Required
PhD in a biological science related field (protein biochemistry, structural biology, immunology, cell and molecular biology etc.) with 2+ years of relevant experience; or M.S. with 5+ years of industry experience; or B.S. with 7+ years of experience in a biotech or pharmaceutical setting
Experience using multiple biophysical techniques including BLI and SPR to characterize protein behaviour and protein-protein and protein-ligand interactions
Expertise in protein domain analysis, expression construct design, expression system selection, downstream protein processing and analytical methodology
Experience working independently within a collaborative multidisciplinary matrixed environment
Strong analytical skills, including qualitative and quantitative assessment skills and demonstrated critical thinking
Strong project team experience with the ability to propose, execute, and deliver results in a timely manner
Experience with using computational tools for data analysis
Preferred
Experience in antibody repertoire generation (animal or display), high-throughput antibody expression and characterization
Familiarity with protein structure analysis (crystallography, NMR, cryoEM) and advanced modeling tools (AlphaFold, Rosetta, BoltzGen)
Exposure to early biologics process development including cell line development, scale up, manufacturability assessment and formulation
Familiarity with google suite and smartsheets strongly preferred
Prior use of generative AI tools / LLM technologies in day-to-day work (e.g. ChatGPT, Gemini, Claude)
Familiarity with and passion about machine learning enabled drug discovery
Benefits
401(k) plan with employer matching for contributions
Excellent medical, dental, and vision coverage as well as mental health and well-being support
Open, flexible vacation policy
Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
Quarterly budget for books and online courses for self-development
Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
New hire stipend for home office setup
Monthly cell phone & internet stipend
Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
Company
insitro
Insitro is a drug discovery and development startup that utilizes machine learning and biology to transform drug discovery.
201-500 employees
H1B Sponsorship
insitro has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (12)
2023 (12)
2022 (7)
2021 (4)
2020 (8)
Funding
Current Stage
Growth StageTotal Funding
$643MKey Investors
CPP InvestmentsAndreessen Horowitz
2021-03-15Series C· $400M
2020-05-26Series B· $143M
2018-05-02Series A· $100M
Leadership Team
Daphne Koller
Founder and CEO
D
Divya Kanichar
Director
Recent News
2026-01-23
Company data provided by crunchbase