About Integrated Bio
Integrated Bio (integratedbio.com) is a physical AI company developing multimodal biological datasets and AI for drug discovery, focusing on aging and age-related diseases. We are risk-takers, and we bet heavily that the future of societal health lies at the intersection of biological discovery, drug design, and AI. Our growing, star-studded team includes accomplished industry veterans and scientists from top universities, including Harvard, Princeton, and UCSB. Our team has deployed large-scale scientific discovery systems, brought drug candidates to the clinic, and published in Nature, Science, and Cell. We have accomplished all of this with no egos, and we are growing fast.
About the Role
We're seeking a driven and highly skilled Senior Scientist to build and execute our protein biochemistry, biophysics, and drug discovery assay capabilities. In this onsite role, you will design, produce, and characterize high-quality recombinant proteins, develop robust biochemical and biophysical assays, and build focused cellular assay cascades that connect target engagement and mechanism to cellular pharmacology. Your work will generate decision-quality data on potency, selectivity, mechanism, kinetics, reversibility, compound artifacts, and molecular and cellular biology.
You'll partner closely with the rest of our biology team along with medicinal chemistry to turn screening hits into mechanistically understood and optimizable chemical matter. This role is ideal for someone who enjoys working at the interface of protein science, biophysics, cell-based pharmacology, and small molecule drug discovery.
If you're someone who loves making difficult assays work, understanding how compounds engage their targets to influence biology, and using rigorous quantitative data to move the needle on human aging, we want to hear from you.
You will
Protein production & characterization
- Design, express, purify, and characterize recombinant proteins to support biochemical, biophysical, target engagement, and structural studies
- Develop construct, tag, truncation, mutation, and purification strategies, and apply analytical methods (SEC, SDS-PAGE, activity, LC-MS, DLS, thermal shift, etc.) to assess protein purity, identity, oligomeric state, stability, and assay suitability
Biochemical, biophysical & SAR-enabling assays
- Develop, validate, and run biochemical and biophysical assays (FP, TR-FRET, AlphaScreen/AlphaLISA, DSF, enzymatic, SPR, BLI) to support hit validation, SAR, selectivity, mechanism of action, and lead optimization
- Generate quantitative data on affinity, potency, kinetics, residence time, reversibility, competition, allostery, and selectivity, and design orthogonal assays
- Partner with medicinal chemistry to interpret SAR, prioritize compounds, and shape assay strategy
Focused cellular mechanism & target engagement assays
- Build focused cell-based assays that connect biochemical and biophysical target engagement to cellular pharmacology, covering target engagement, pathway modulation, biomarker response, potency, selectivity, and counterscreens
- Develop fit-for-purpose readouts (e.g. high content cell imaging, qPCR, reporter, viability) for SAR and mechanism
You're a good fit if you have
- A PhD in biochemistry, biophysics, chemical biology, structural biology, pharmacology, cell biology, or a closely related field
- 3-5 years of industry experience in small molecule drug discovery, developing biochemical, biophysical, and/or cellular assays
- Hands-on experience in recombinant protein expression, purification, and analytical characterization, independently generating high-quality reagents for quantitative assays
- A strong grasp of assay development principles (robustness, reproducibility, dynamic range, signal-to-background, Z', CV, etc.)
Bonus points for
- Experience with structural biology methods such as NMR, X-ray crystallography, or cryo-EM
- Familiarity with aging biology, senescence, mitochondrial function, proteostasis, inflammatory signaling, metabolic pathways, or other age-related disease biology
- Experience leveraging AI and coding agents in the context of drug discovery, computational chemistry, and large-scale biological datasets
What we offer
- Impact: You will play a key role in the work that drives our mission to cure age-related diseases. As an early hire, you will help shape the direction of the company, and your efforts will directly advance therapies with the potential to transform healthcare.
- People: You will work alongside a team of top-tier scientists and engineers, and directly with our founders, Dr. Felix Wong and Prof. Max Wilson. Our alumni have co-authored high-impact scientific papers and gone on to highly successful career trajectories.
- Flexibility: We cultivate an environment that is respectful of personal life and less rigid than academia or a large company. Joining us is like joining a family. We don't expect you to hang out with us outside of normal working hours, but it's likely you'll occasionally do so anyway because we're so fun.
Location & logistics
This role is located at Redwood LIFE in Redwood City, CA, a modern and stunning life sciences complex in the Bay Area.
Visa sponsorship available where applicable. We'll work with you to make it happen.
Timing: search underway September to November 2026; target start October to December 2026.
Compensation & benefits
Salary band: $120K to $175K depending on experience and level (Senior Scientist I to Senior Scientist II), plus substantial equity and a performance bonus, commensurate with experience and the cost of living in the San Francisco Bay Area.
Integrated Bio offers all its employees exceptional benefits, including full health insurance coverage for you and a dependent, 401(k) plans, free lunch, vacation and sick days, and other longevity-related benefits.
Integrated Bio is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

