Top 621 Staff scientist Jobs in San Francisco, Ca

Biological Safety Research Scientist
Anthropic —San Francisco, CA
- $300,000 - $405,000 a year
- Hybrid work
- Office
- Analysis skills
- Bachelor's degree
- Parental leave
- Flexible schedule
Staff Scientist, Bioinformatics
Thermo Fisher Scientific —South San Francisco, CA
- $129,400 - $165,000 a year
- Full-time
- Background check
- 6 years
- Office
- Commuter assistance
- Paid parental leave
12d
Scientist II
Multiply Labs —San Francisco, CA
- $115,000 - $135,000 a year
- Choose your own hours
- Google Workspace
- Mid-level
- Master's degree
- Commuter assistance
- Paid parental leave
Research Scientist, Life Sciences (Experimental Biology)
Anthropic —San Francisco, CA
- $300,000 - $320,000 a year
- Hybrid work
- Office
- Bachelor's degree
- Doctor of Philosophy
- Parental leave
- Flexible schedule
1d
Staff Data Scientist, Weather
Waymo —San Francisco, CA
- $251,000 - $310,000 a year
- Hybrid work
- 8 years
- SQL
- Math
3d
Research Associate, Biology
Anthropic —San Francisco, CA
- $65,000 - $85,000 a year
- Hybrid work
- Bachelor of Science
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
1d
Clinic Laboratory Scientist
Chinese Hospital —San Francisco, CA
- $52.55 - $87.77 an hour
- Full-time
- Hospital
- Customer service
- Mid-level
Staff Electrolyte Scientist
Anthro —Alameda, CA
- $136,000 - $170,000 a year
- Full-time
- Doctor of Philosophy
- Mentoring
- Senior level
- Paid parental leave
- Health insurance
Quick Apply
Staff Scientist, Pharmaceutical Development
Septerna —San Francisco, CA
- $160,000 - $180,000 a year
- Bachelor of Science
- 11+ years
- Bachelor's degree
Clinical Histocompatibility Scientist (CHS) Trainee
University of California San Francisco —San Francisco, CA
- Weekends as needed
- Surgery
- Computer literacy
- Bachelor of Science
Staff Clinical Scientist
Epia Neuro —Alameda, CA
- $155,000 - $190,000 a year
- Full-time
- Hybrid work
- Medicine
- Office
- 3 years
- Paid parental leave
- Health insurance
Quick Apply
7d
Staff Data Scientist
Imprint —San Francisco, CA
- $200,000 - $235,000 a year
- Full-time
- Hybrid work
- 7 years
- SQL
- AWS
- Paid parental leave
- Health insurance
Scientist, Membrane Protein Biochemistry
Amgen —South San Francisco, CA
- $121,792.25 - $164,777.75 a year
- Master's degree
- Bachelor's degree
- Doctor of Philosophy
- Disability insurance
- Health insurance
13d
Research Scientist, Life Sciences
Anthropic —San Francisco, CA
- $300,000 - $320,000 a year
- Hybrid work
- 5 years
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Staff Product Data Scientist, Infrastructure
Waymo —San Francisco, CA
- $230,000 - $284,000 a year
- Hybrid work
- Master's degree
- Doctor of Philosophy
- Senior level
10d
Clinical Lab Scientist
University of California San Francisco —San Francisco, CA
- Bachelor of Science
- Mid-level
- Bachelor's degree
16h
Staff Scientist I
Verdantas —San Ramon, CA
- $50,000 - $60,000 a year
- Extended hours
- Hybrid work
- Driver's License
- Travel
- Communication skills
- Paid parental leave
- AD&D insurance
Construction Materials Testing Laboratory Technician
Kleinfelder, Inc. —Hayward, CA
- $25.32 - $42.26 an hour
- Full-time
- Background check
- Clean driving record
- Microsoft Excel
- Health savings account
- Paid holidays
Quick Apply
Sr Principal, Executive Operations - Ads & Data Platforms
Disney Entertainment and ESPN Product & Technology —San Francisco, CA
- $227,200 - $304,700 a year
- 11+ years
- Bachelor's degree
- Organizational skills
7d
Research Operations Lead, Biology
Anthropic —San Francisco, CA
- $150,000 - $200,000 a year
- Hybrid work
- Office
- Supervising experience
- Bachelor's degree
- Parental leave
- Flexible schedule
1d

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Biological Safety Research Scientist

Anthropic -
San Francisco, CA

Apply Now

Job Details

$300,000 - $405,000 a year

Benefits

Parental leave
Flexible schedule

Qualifications

Molecular biology techniques
Genetic engineering
Virology
Technical writing experience
Research data analysis
Assays

Full Job Description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviors and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge—balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors.

In this role, you will:

Design and execute capability evaluations ("evals") to assess the capabilities of new models
Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers
Analyze safety system performance in traffic, identifying gaps and proposing improvements
Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces
Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle
Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety
Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these

Minimum Qualifications:

A PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, OR equivalent professional experience
Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred)
Deep expertise in modern biology, including both "reading" (e.g. high-throughput measurement, functional assays) and "writing" (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology
Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines)
Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders
Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies
Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve

Preferred Qualifications

Background in AI/ML systems, particularly experience with large language models
Experience in developing ML for biological systems
Extensive experience in complex projects with multiple stakeholders

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$300,000 - $405,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply Now

Refine Your Search

staff scientist jobs in san francisco, ca

Biological Safety Research Scientist

Staff Scientist, Bioinformatics

Scientist II

Research Scientist, Life Sciences (Experimental Biology)

Staff Data Scientist, Weather

Research Associate, Biology

Clinic Laboratory Scientist

Staff Electrolyte Scientist

Staff Scientist, Pharmaceutical Development

Clinical Histocompatibility Scientist (CHS) Trainee

Staff Clinical Scientist

Staff Data Scientist

Scientist, Membrane Protein Biochemistry

Research Scientist, Life Sciences

Staff Product Data Scientist, Infrastructure

Clinical Lab Scientist

Staff Scientist I

Construction Materials Testing Laboratory Technician

Sr Principal, Executive Operations - Ads & Data Platforms

Research Operations Lead, Biology

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