Top 263 Applied scientist Jobs in San Francisco Bay Area Ca

Associate Scientist
Vivodyne —San Francisco, CA
- $95,000 - $135,000 a year
- Full-time
- Mid-level
- Master's degree
- Bachelor's degree
Research Data Analyst
University of California San Francisco —San Francisco, CA
- Full-time
- Ob/Gyn
- Analysis skills
- Bachelor's degree
3d
Research Scientist/Engineer, Biological Safety
Anthropic —San Francisco, CA
- $300,000 - $405,000 a year
- Hybrid work
- Office
- 8 years
- Analysis skills
- Parental leave
- Flexible schedule
Applied AI Scientist
Omnifold —San Francisco, CA
- Full-time
- Mid-level
- SQL
- Python
Quick Apply
Applied Scientist
Koah —San Francisco, CA
- $200,000 - $300,000 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- AWS
Senior Applied Scientist, Efficient LLM Inference & Model Optimization
Nebius —San Francisco, CA
- $195,200 - $262,200 a year
- Remote
- Computer Science
- Doctor of Philosophy
- Mentoring
- Disability insurance
- Health insurance
Quick Apply
8d
Research Associate
Eight Sleep —San Francisco, CA
- $70,000 - $100,000 a year
- Weekends as needed
- Computer Science
- HIPAA
- Mid-level
Research Scientist, Takeoff Intel
Anthropic —San Francisco, CA
- $350,000 - $850,000 a year
- Hybrid work
- Office
- Math
- Bachelor's degree
- Parental leave
- Flexible schedule
6d
Student Researcher, BS/MS, Fall 2026
Google —San Francisco, CA
- $98,000 - $131,000 a year
- Computer Science
- Bachelor of Science
- English
- Paid holidays
- Health insurance
10d
Principal Applied Scientist, Music Catalog and Search, Amazon Music Search and Catalog
Amazon.com Services LLC —San Francisco, CA
- $228,700 - $309,400 a year
- Full-time
- Master's degree
- Doctor of Philosophy
- Mentoring
- AD&D insurance
- Health insurance
Application Scientist
Mithrl —San Francisco, CA
- $130,000 - $180,000 a year
- Full-time
- Office
- Analysis skills
- Presentation skills
- Health insurance
- Dental insurance
Applied Scientist
Clipboard —San Francisco, CA
- $160,000 - $225,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- SQL
Senior Applied AI/ML Scientist
NobleAI —San Francisco, CA
- $190,000 - $220,000 a year
- Full-time
- Remote
- Azure
- AWS
- Doctor of Philosophy
- Paid holidays
- Disability insurance
Quick Apply
Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug Design, AI for Drug Discovery
Genentech —San Francisco, CA
- $147,600 - $297,300 a year
- Online Application
- Computer Science
- Doctor of Philosophy
- Senior level
Research Scientist
Goodfire —San Francisco, CA
- $200,000 - $400,000 a year
- Computer science
- Computer Science
- Writing skills
Applied Research - Forward-Deployed
Prime Intellect —San Francisco, CA
- $150,000 - $300,000 a year
- Full-time
- Hybrid work
- System design
- Senior level
- Communication skills
Applied Scientist- Pricing, Dynamic Pricing & Offer Selection
Lyft —San Francisco, CA
- $140,800 - $176,000 a year
- Hybrid work
- Computer Science
- Mid-level
- Office
- Commuter assistance
- Paid parental leave
Research Engineer, Retrieval & Search, Applied Engineering
OpenAI —San Francisco, CA
- $293,000 - $585,000 a year
- Full-time
- Databases
- APIs
- Fair chance
Staff Applied Scientist
Lyft —San Francisco, CA
- $193,600 - $242,000 a year
- Hybrid work
- Computer Science
- Mid-level
- Office
- Commuter assistance
- Paid parental leave
4d
Robotic AI Engineer/Applied Scientist - Foundation Models
Maven Robotics —San Francisco Bay Area, CA
- Computer Science
- Doctor of Philosophy
- Senior level

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Associate Scientist

Vivodyne
San Francisco, CA

Apply Now

Job Details

Full-time
$95,000 - $135,000 a year

Qualifications

Bachelor's degree
Sterile laboratory techniques

Full Job Description

Vivodyne creates human data before clinical trials.

We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.

www.vivodyne.com

Role

This is a full-time, onsite role in San Francisco. This role is a shifted schedule (Tuesday-Saturday or Sunday-Thursday).

You will be an integral member of the Bioengineering team, supporting the development and operation of advanced human tissue models for therapeutic discovery and translational research. This role is ideal for a highly motivated experimental scientist who enjoys working at the intersection of biology, engineering, and automation in a fast-paced R&D environment.

You will work closely with scientists, engineers, roboticists, and software teams to support large-scale tissue culture workflows, execute routine and specialized assays, and help maintain reliable operation of automated tissue culture systems. The ideal candidate is hands-on, adaptable, detail-oriented, and excited to learn new technologies and experimental approaches.

This role requires flexibility, strong experimental rigor, and comfort operating in a highly collaborative environment with evolving priorities and workflows.

Responsibilities

Tissue Culture & Experimental Support

Support routine expansion, maintenance, and characterization of primary human cell cultures using aseptic technique.
Assist with 3D tissue seeding, maintenance, feeding, harvesting, and downstream processing workflows.
Execute routine molecular and cellular assays including ELISAs, flow cytometry, cell digestions, fixations, staining workflows, and sample preparation.
Support tissue characterization workflows including imaging, cytokine analysis, and functional assays.
Maintain accurate experimental records and documentation using electronic lab notebooks and SOPs.

Automation & Platform Operations

Train as an operator for automated tissue culture and experimental workflows.
Monitor and supervise automated workflows during scheduled operating windows, including occasional non-standard shifts (e.g. evening shifts or one weekend day).
Interface closely with robotics and hardware teams to troubleshoot workflow issues and improve platform reliability.
Assist in validating and optimizing automated protocols for scalability and reproducibility.

Cross-Functional Collaboration

Collaborate closely with scientists across bioengineering, biology, automation, and computational teams.
Communicate experimental progress, issues, and observations clearly and proactively.
Contribute to process improvement initiatives and support development of scalable laboratory workflows.
Help maintain laboratory organization, inventory, and operational readiness.

Growth & Development

Learn and adopt new experimental techniques, instrumentation, and automation workflows.
Contribute to a culture of scientific rigor, curiosity, adaptability, and continuous improvement.
Participate in troubleshooting and problem-solving for experimental and operational challenges.

Requirements and Expectations

Required Qualifications

Bachelor’s degree in bioengineering, biology, physiology, genetics, biochemistry, or a related life sciences field.
1-3 years of prior experience in industry.
Hands-on experience with sterile mammalian cell culture techniques.
Familiarity with standard wet-lab molecular and cellular biology assays.
Strong organizational skills and attention to detail in experimental execution and documentation.
Comfortable working in a fast-paced, highly collaborative research environment.
Willingness to work flexible schedules as needed to support automated experimental workflows after training is completed.

Preferred Experience

Masters degree is a plus.
Experience working with primary human cells and/or 3D cell culture systems such as organoids, spheroids, or organ-on-chip platforms.
Experience with assays such as ELISA, flow cytometry, immunostaining, or fluorescence imaging.
Exposure to automated laboratory systems, liquid handling robotics, or high-throughput workflows is a plus.
Familiarity with laboratory data analysis and visualization tools.

What We’re Looking For

Highly motivated and intellectually curious individuals who are excited to learn quickly and take ownership.
Strong experimental instincts and willingness to support a wide variety of laboratory activities.
Someone who thrives in dynamic environments and can adapt as priorities evolve.
Interest in the convergence of biology, automation, robotics, and AI-enabled experimentation.
A collaborative teammate who communicates clearly and works effectively across disciplines.
A practical problem-solver who is dependable, resourceful, and eager to contribute wherever needed.

Why Vivodyne?

High-Impact Mission — Play a foundational role in transforming drug discovery through computational biology applied to the richest human tissue datasets in existence.
Method, Not Just Application — You won't just run pipelines. You'll decide what pipelines should exist, whether they're working, and what should replace them.
Multi-Disciplinary Exposure — Work alongside experts in robotics, AI, tissue engineering, and microfluidics in a deeply cross-functional setting.
Growth Opportunities — A fast-growing startup with significant autonomy, ownership, and direct influence over the biological data infrastructure and analytical strategy.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.

Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location.

Pay Range

$95,000 - $135,000 USD

Apply Now

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