Scientist II, Protein Sciences
insitroSouth San Francisco, CA$130k – $145kPosted 26 March 2026
Tech Stack
Job Description
Scientist II, Protein Sciences
THE OPPORTUNITY
The unprecedented convergence of multi-modal data, advanced disease modeling, and computational power is revolutionizing drug discovery. insitro is harnessing this moment to redefine how medicines are developed for complex diseases. Our AI/ML-enabled platforms integrate and scale data to rapidly discover novel biological insights, allowing us to identify new targets and drugs for neurological, ophthalmological, and metabolic indications.
To enable this vision, we are seeking a Scientist II to join our Protein Sciences team in South San Francisco. Reporting to the Sr. Director of Biologics, you will be primarily responsible for the biophysical characterization of tool and therapeutic biologic molecules, peptides, and small molecules. You will drive the analysis of molecular interactions using techniques such as bi-layer interferometry (BLI), surface plasmon resonance (SPR), thermophoresis, and calorimetry.
Beyond the bench, you will act as a subject matter expert in the design of optimal constructs, purification regimes, and structural characterization. For antibody discovery projects, you will play an integral role in repertoire discovery and computational biologics engineering. This is a highly collaborative role where you will liaise between our laboratory efforts and insitro’s data science and AI teams to advance a high-value portfolio of candidates into the clinic.
This role is laboratory-based and requires a full-time onsite presence at our South San Francisco headquarters.
ABOUT YOU
- 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
NICE TO HAVE
- 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
YOUR WAYS OF WORKING AND ALIGNMENT WITH INSITRO VALUES
- "Get Things Done": A self-starter, with a strong bias to action, who can prioritize and advance multiple projects under the resource, information and time constraints of an early stage startup
- "Engage with Respect": Prioritize a compassionate understanding of the needs and perspectives of insitro teams and leaders in every interaction and analysis
- "Own the Outcome": Proactively take ownership of solving problems
COMPENSATION & BENEFITS AT INSITRO
Our target starting salary for successful US-based applicants for this role is $130,000 - $145,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, busine ... (truncated, view full listing at source)
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