Top 20 Senior bioinformatics scientist Jobs in San Francisco, Ca

(Senior) ML Scientist
insitro —South San Francisco, CA
- $183,000 - $238,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Office
- Paid parental leave
- Health insurance
Senior Scientist, Antibody Engineering
Soleil Labs, LLC —South San Francisco, CA
- $134,835 - $240,776 a year
- Email
- 5 years
- Office
- Presentation skills
- Health savings account
- Disability insurance
Quick Apply
11d
Machine Learning Scientist / Senior Machine Learning Scientist
CALICO —South San Francisco, CA
- $170,000 - $240,000 a year
- Computer Science
- Doctor of Philosophy
- In-person
Senior Bioinformatics Scientist
CEDENT —South San Francisco, CA
- 3 years
- Master's degree
- SQL
Senior AI Data Scientist I
Exelixis, Inc. —Alameda, CA
- $143,500 - $203,000 a year
- Email
- Computer Science
- No experience needed
- Office
- Paid holidays
- Disability insurance
Senior Staff Scientist-Quantitative Modeling, AI & Pharmacometrics
University of California San Francisco —San Francisco, CA
- Full-time
- Current TB test
- Computer Science
- 5 years
Senior Scientist II, Computational Pathology, Precision Medicine Pathology
AbbVie —South San Francisco, CA
- $109,500 - $208,500 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Paid holidays
- Health insurance
1d
Senior Data Scientist
Probably Genetic —San Francisco, CA
- $180,000 - $230,000 a year
- Full-time
- Hybrid work
- 7 years
- Office
- SQL
- Dental insurance
- 401(k)
Senior Director, Bioinformatics San Carlos
Nautilus Bio —San Carlos, CA
- $224,000 - $337,000 a year
- Full-time
- Hybrid work
- Office
- Doctor of Philosophy
- Travel
- Health insurance
- Dental insurance
Scientist II / Senior ML Scientist, Cofolding and Structure-Aware ML
Lila Sciences —San Francisco, CA
- $228,000 - $358,000 a year
- Computer Science
- Doctor of Philosophy
- Senior level
Quick Apply
Senior Bioinformatics Scientist, Translational Bioinformatics
Predicine, Inc —Hayward, CA
- Full-time
- 5 years
- Master's degree
- Analysis skills
Quick Apply
5d
Scientist/Sr. Scientist, Computational Chemistry
General Proximity —San Francisco, CA
- Email
- 3 years
- Doctor of Philosophy
- Organizational skills
- Health insurance
- Dental insurance
Quick Apply
Sr. Bioinformatics Scientist – CDSDM
Predicine, Inc —Hayward, CA
- Full-time
- 3 years
- Master's degree
- SQL
Quick Apply
3d
Scientist / Senior Scientist, Ads Systems
roblox —San Mateo, CA
- $248,740 - $322,820 a year
- Full-time
- Office
- US work authorization
- Senior level
Staff/Senior Staff, Bioinformatics Data Scientist
Rezo Therapeutics —San Francisco, CA
- $180,000 - $260,000 a year
- Full-time
- Writing skills
- 8 years
- Doctor of Philosophy
- Commuter assistance
- Health insurance
Quick Apply
Director / Senior Director, Machine Learning for Biology
Altos Labs —Redwood City, CA
- $297,400 - $470,200 a year
- Computer Science
- Doctor of Philosophy
- Mentoring
2d
Senior Director – BioIntelligence
Amgen —San Francisco, CA
- $225,624 - $305,256 a year
- Doctoral degree
- Computer Science
- 5 years
- Disability insurance
- Health insurance
Senior Scientific Software Engineer, Analytics and Workflows
Genentech —San Francisco, CA
- $142,500 - $264,700 a year
- Online Application
- Computer Science
- Master's degree
- Analysis skills
Senior Principal DSX Data Scientist, AI
Genentech —San Francisco, CA
- $207,480 - $385,320 a year
- Online Application
- Computer Science
- System design
- 8 years
4d

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(Senior) ML Scientist

insitro -
South San Francisco, CA

Apply Now

Job Details

Full-time
$183,000 - $238,000 a year

Benefits

Internet reimbursement
Paid parental leave
Health insurance
Dental insurance
Cell phone reimbursement
Parental leave
Vision insurance
401(k) matching

Qualifications

Data Integration (Data management)
Doctor of Philosophy

Full Job Description

The Opportunity

State-of-the-art technologies that measure multiple cellular aspects of in-vitro biology are at the heart of insitro's efforts to accelerate drug development. Computational biology is key to elucidating the relationship between these phenotypes and human disease and translating them into actionable outcomes.

We are looking for an expert in ML method development for biological data analysis, in domains such as network analysis, systems biology, graph-based modeling, causal structure learning, single cell omics, or imaging modalities. Your expertise will help the team navigate the complexities of developing disease relevant cell models and analyzing high throughput phenotypic screens, and ensuring that the tools being developed are calibrated and effective, and that analyses are performed to the highest rigor and in line with best practices in the broader scientific community.

In this role, you will collaborate closely with experimental biologists, computational biologists, and other machine learning scientists, support the identification of novel phenotypes, the development of new screening paradigms, and advance our understanding of disease. You will develop and utilize diverse machine learning and bioinformatic methods to perform diverse downstream analyses, including integrating with other data modalities, including human cohort data in order to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. This role will be reporting to the Head of Computational Biology and ML-Omics . This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week.

You will be joining a vibrant biotech startup that has many opportunities for significant impact. You will work closely with a highly talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

About You

Ph.D. in computer science, machine learning, computational biology, systems biology, or a related discipline.
Extensive hands on experience developing ML methods for biological data modalities
Hands on experience with biological data analysis, in particular familiarity with network and graph based analysis and modeling techniques
Experience integrating data or insights from multiple sources and distinct modalities (e.g., imaging, transcriptomics, functional genomics, genetics, human cohort data)
Strong programming skills in scientific programming languages (i.e., Python)
Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review)
Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
Publication record of meaningful contributions to high-quality work in relevant machine learning, computational biology, systems biology, life sciences, or biomedical venues
Passion for developing useful and impactful methods and making a difference in the world

Nice to Have

Experience with statistical genetics and integrating functional and omics data with gwas
First-hand experience studying disease biology
Passionate about problem solving, asking questions and learning independently
Experience with gene regulatory network inference or causal modeling
Familiarity with cloud computing services (e.g., AWS or azure)
Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects
Experience building infrastructure for data processing

Compensation & Benefits at insitro

Our target starting salary for successful US-based applicants for this role is $183,000 - $238,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.

This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

In addition, insitro also provides our employees:

401(k) plan with employer matching for contributions
Excellent medical, dental, and vision coverage as well as mental health and well-being support
Open, flexible vacation policy
Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
Quarterly budget for books and online courses for self-development
Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
New hire stipend for home office setup
Monthly cell phone & internet stipend
Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area

insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.

Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at [email protected].

#LI-Hybrid

About insitro

insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.

Apply Now

Refine Your Search

senior bioinformatics scientist jobs in san francisco, ca

(Senior) ML Scientist

Senior Scientist, Antibody Engineering

Machine Learning Scientist / Senior Machine Learning Scientist

Senior Bioinformatics Scientist

Senior AI Data Scientist I

Senior Staff Scientist-Quantitative Modeling, AI & Pharmacometrics

Senior Scientist II, Computational Pathology, Precision Medicine Pathology

Senior Data Scientist

Senior Director, Bioinformatics San Carlos

Scientist II / Senior ML Scientist, Cofolding and Structure-Aware ML

Senior Bioinformatics Scientist, Translational Bioinformatics

Scientist/Sr. Scientist, Computational Chemistry

Sr. Bioinformatics Scientist – CDSDM

Scientist / Senior Scientist, Ads Systems

Staff/Senior Staff, Bioinformatics Data Scientist

Director / Senior Director, Machine Learning for Biology

Senior Director – BioIntelligence

Senior Scientific Software Engineer, Analytics and Workflows

Senior Principal DSX Data Scientist, AI

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