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Senior Scientist & Program Lead

Spur

Palo Alto, CAFull-timePosted 1 day agoStill listed 1 day ago

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At a glance

Compensation
No compensation found
Location
Palo Alto, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Velocity Bio is seeking a Senior Scientist & Program Lead to advance enzyme function datasets for AI-driven drug discovery and enzyme design. The role combines wet-bench biochemistry, high-throughput data generation and analysis, and leadership of internal and external projects. The scientist will develop assays on the company’s microfluidic platform, collaborate with AI/ML engineers, and help shape the scientific roadmap alongside the founding team.

Skills & qualifications

RequiredNice to have

Skills

EnzymologyIn Vitro Functional AssaysProtein Structure and FunctionMolecular Biology TechniquesConstruct DesignCloningDNA PurificationProtein PurificationPythonStrategic PlanningHands-on ExecutionScientific RigorAttention to DetailProject LeadershipProtein Biophysical AssaysRecombinant Protein ExpressionNGS Workflows

Qualifications

PhD in Life Sciences3+ Years Relevant Industry ExperienceBiochemistry, Biophysics, Chemical Biology, or Structural Biology

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

Senior Scientist & Program Lead | Enzymology

What We’re Building Velocity Bio is a venture-backed startup spun out of Stanford University combining cutting-edge microfluidics with AI to accelerate discovery of next-generation therapeutics. We are building the world’s largest dataset of high-fidelity enzyme function to train AI models for allosteric drug discovery and accurate enzyme function prediction. Recently, Velocity partnered with the Institute for Protein Design at the University of Washington, Argonne National Laboratory, and SLAC National Accelerator Laboratory on a Department of Energy Genesis Mission project to harness AI for breakthrough enzyme design. With our partners, we’re building the missing, massive quantitative datasets of activity and structure for computationally-designed enzymes needed to unlock next-generation AI models to design enzymes de novo with unprecedented fidelity. Your Impact In this role, you’ll work closely with the founding team on our mission to unlock AI models for allosteric drug discovery and accurate enzyme function prediction. To do this, you’ll scale large-scale, high-fidelity enzyme function datasets, develop novel in vitro enzyme assays on our proprietary microfluidic platform, and manage external collaborations. This role will combine hands-on wet-bench biochemistry, data generation and analysis on Velocity’s high-throughput platform, as well as leadership by managing internal and external projects. As an early hire, you’ll have significant opportunity to work with the founding team and shape the scientific direction and culture of Velocity. This Role Will Involve

  • Designing, performing, and analyzing high-throughput enzyme assays on Velocity’s platform

  • Designing and managing large-scale internal/external data generation campaigns

  • Developing new high-throughput classical quantitative biochemical assays

  • Working closely with AI/ML engineers to guide model development and evaluations

  • Shaping Velocity’s scientific roadmap alongside the founding team

Required Qualifications

  • PhD in life sciences (Biochemistry, Biophysics, Chemical Biology, or Structural Biology preferred)

  • 3+ years of relevant industry experience

  • Expertise in enzymology and in vitro functional assays

  • Deep understanding of protein structure and function

  • Fluent in common molecular biology techniques (construct design, cloning, DNA and protein purification, etc.)

  • Fluent in Python programming

  • Ability to move quickly between strategic planning and hands-on execution

  • Exceptional scientific rigor and attention to detail

Preferred Qualifications

  • Experience leading large-scale internal/external projects

  • Hands-on experience performing other protein biophysical assays characterizing stability, binding, etc.

  • Experience performing recombinant protein expression and purification

  • Experience with NGS workflows

This position might be a good fit if you…

  • Are passionate about working on problems with huge potential to improve human health

  • Enjoy rigorous science and designing and performing complex biophysical experiments

  • Are excited to shape an early startup and influence how we work and what we build

  • Are highly organized and a self-directed learner

  • Want to join a fast-paced, collaborative environment in the heart of the Bay Area

Benefits

  • Competitive salary and equity

  • Full health, dental, and vision insurance

  • 401(k) plan

Location

  • In-person; MBC BioLabs in San Carlos, CA

  • On-site parking available

  • 10-minute walk from a Caltrain station

How this job compares

Set against the 2,042 open Scientist jobs on Olive Jobs, counted October 30, 2026.

Pay
  • This postingNot listed
  • California median$124–174K/yr272 salary ranges
  • California median$35–38/hr32 hourly ranges
Openings
Olive Jobs lists 432 open Scientist jobs in California and 2,042 across the US. Under 1% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 3 years of experience; Scientist postings that state a minimum ask for 3 years at the median (1,464 postings).
Education
This posting asks for a doctorate or professional degree; 407 of the 2,042 open Scientist jobs (20%) ask for a doctorate or professional degree.

Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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