Top 17 Senior bioinformatics Jobs in Pleasanton Ca

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 Director, Bioinformatics
Summit Therapeutics —Palo Alto, CA
- $217,000 - $271,000 a year
- Azure
- Computer Science
- 11+ years
Quick Apply
6d
Senior Scientist, Bioinformatics
NVIGEN —Sunnyvale, CA
- Computer Science
- 5 years
- Databases
Senior Bioinformatics Software Engineer
Roche —Santa Clara, CA
- $145,300 - $269,800 a year
- Online Application
- 5 years
- Bachelor of Science
- Data analysis skills
Senior Bioinformatics Scientist
PromptBio Inc. —Pleasanton, CA
- $140,000 - $180,000 a year
- Full-time
- 3 years
- Doctor of Philosophy
- Senior level
- Health insurance
- Dental insurance
Quick Apply
AIML - Sr Data Scientist, Evaluation
Apple —Cupertino, CA
- $150,400 - $277,600 a year
- Computer Science
- Java
- Math
- Employee stock purchase plan
- Health insurance
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
Senior Data Scientist #4887
GRAIL, Inc. —Menlo Park, CA
- $156,000 - $187,000 a year
- Full-time
- Hybrid work
- Office
- Doctor of Philosophy
- Fair chance
- Health insurance
- Dental insurance
Senior AI Scientist
PromptBio Inc. —Pleasanton, CA
- $140,000 - $180,000 a year
- Full-time
- Research
- AWS
- Doctor of Philosophy
- Health insurance
- Dental insurance
Quick Apply
Senior Data Scientist #4887
GRAIL —Menlo Park, CA
- $156,000 - $187,000 a year
- Full-time
- Hybrid work
- Office
- Doctor of Philosophy
- Fair chance
- Health insurance
- Dental insurance
Quick Apply
Senior / Principal Scientist – NGS & Translational Genomics (次世代定序/轉譯醫學研發)
AcroCyte Therapeutics Inc. —San Carlos, CA
- $140,000 - $210,000 a year
- Full-time
- Background check
- 5 years
- Analysis skills
Quick Apply
3d
Sr. Software Engineer
23andMe —Palo Alto, CA
- $160,000 - $200,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
Sr. Software Engineer (Health AI and Machine Learning)
23andMe —Palo Alto, CA
- $165,000 - $200,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
Senior Backend Engineer - Core Java & Systems Integration
Clear Labs —San Carlos, CA
- $121,500 - $150,000 a year
- Full-time
- Office
- US work authorization
- Ability to sit for extended periods
- AD&D insurance
- Disability insurance
Quick Apply
Senior / Staff Scientist, Assay Automation
Clear Labs —San Carlos, CA
- $120,000 - $150,000 a year
- Full-time
- 8 years
- Doctor of Philosophy
- US work authorization
- AD&D insurance
- Disability insurance
Quick Apply
Senior Scientist, IVD Product Development
Natera —San Carlos, CA
- $138,100 - $172,600 a year
- Bachelor of Science
- 3 years
- Bachelor's degree
- Commuter assistance
- Health insurance
Senior Staff Data Engineer
Biohub —Redwood City, CA
- $241,000 - $338,000 a year
- Hybrid work
- Office
- 8 years
- AWS
- Paid time off
- 401(k) matching
Quick Apply

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Senior AI Data Scientist I

Exelixis, Inc. -
Alameda, CA

Apply Now

Job Details

Full-time
$143,500 - $203,000 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Flexible spending account
Vision insurance

Qualifications

Jira
Scikit-learn
Statistics
Version control
Cloud analytics services
Databricks
Data visualization software proficiency
Data Integration (Data management)
Statistics
Predictive modeling analysis
GxP
Clinical development
NumPy
Regulatory compliance
R
AI tools proficiency
Generative models
Prompt engineering
SQL
Pandas
ICH guidelines
CDISC standards
Supervised learning
Text mining
GitHub
APIs
Digital project management boards
Clinical quality assurance standards
Defect tracking tools
Unsupervised learning

Full Job Description

SUMMARY/JOB PURPOSE

The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables supporting drug-development decisions. Leveraging statistical programming (R, Python, SQL) and machine-learning techniques, this role executes automated workflows, data quality assurance, and regulatory-compliant outputs within a GxP-governed clinical data pipeline. This position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical Operations to accelerate data-driven insights, improve data infrastructure, and ensure the accuracy and reproducibility of analytical outputs that inform study-level and portfolio-level decisions.

ESSENTIAL DUTIES/RESPONSIBILITIES

Build, train and validate machine-learning models (supervised and unsupervised) on clinical datasets under the direction of senior data scientists, ensuring model performance meets predefined acceptance criteria.
Execute data cleaning, transformation, and standardization tasks across clinical datasets from EDC, vendor and real-world data sources, aligning outputs with CDISC (SDTM/ADaM) standards.
Develop and maintain LLM-based and generative AI-workflows for automated TLF review and ad-hoc analytical queries, applying human-in-the-loop validation to ensure output reliability.
Create interactive dashboards and visualizations that support clinical data review, study-health monitoring, and decision-making across cross-functional stakeholders.
Execute data validation checks and quality-assurance procedures to ensure accuracy, reproducibility and compliance of analytical outputs with GxP requirements.
Support the development and maintenance of data pipelines on Databricks and AWS cloud infrastructure, applying version control (Git/GitHub) and CI/CD best practices.
Collaborate with Statistical Programming, Clinical Data Management, and Clinical Operations to deliver AI/ML project milestones and address study-level data needs.
Prepare and maintain documentation of model development, data transformation, and validation activities consistent with SOPs and work instructions.
Drive external scientific visibility and publication objectives by contributing to manuscripts, conference presentations and white papers that showcase clinical AI/data science innovations.
Pursue continuous professional development in emerging AI/ML techniques, cloud-based data platforms, and clinical data science methodologies to advance team capabilities.
Performs other duties as assigned
Complies with all policies and standards

SUPERVISORY RESPONSIBILITIES

None

EDUCATION/EXPERIENCE/KNOWLEDGE/SKILLS & ABILITIES

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 7 years of experience; or,
Master's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 5 years of experience; or,
Equivalent combination of education and experience.

Experience

With PhD: No prior experience applying AI/ML methods to structured or unstructured data.
With Master's degree: A minimum of one (1) year of experience applying AI/ML methods to structured or unstructured data.
With Bachelor's degree: A minimum of three (3) years of experience applying AI/ML methods to structured or unstructured data.
Without degree: A minimum of seven (7) years of relevant professional experience, including demonstrated application of AI/ML methods to structured or unstructured data.

Knowledge, Skills and Abilities

Required:

Intermediate proficiency in Python (Pandas, NumPy, scikit-learn) for data manipulation and model prototyping.
Intermediate proficiency in R for statistical analysis and visualization.
Basic proficiency in SQL for data querying and transformation.
Intermediate understanding of supervised and unsupervised learning fundamentals, including model evaluation.
Basic familiarity with NLP, text mining and/or time series analysis techniques.
Basic familiarity with LLM APIs and prompt engineering concepts.
Basic knowledge of Databricks notebooks and Delta Lake concepts.
Basic familiarity with AWS cloud services (S3, Lambda, Glue).
Basic understanding of data pipeline concepts and data integration fundamentals.
Intermediate proficiency with version control (Git/GitHub) and project tracking tools (Jira).
Intermediate proficiency with BI platforms including Spotfire, Tableau and/or Power BI.
Basic understanding of the clinical development process and regulatory requirements (ICH, GxP).
Basic familiarity with CDISC data standards (SDTM, ADaM) concepts.
Ability to communicate technical concepts clearly to diverse audiences.
Strong collaboration and teamwork skills in a cross-functional environment.
Attention to detail and organizational skills.

#LI-JP1

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $143,500 - $203,000 annually. The base pay range may take into account the candidate’s geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate’s geographic region, job-related knowledge, skills, experience and internal equity, among other factors.

In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.

If you have a disability and need an accommodation in relation to the application and/or recruitment process, please email us at: [email protected].

WORKING CONDITIONS:

Our office is a modern space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace.

DISCLAIMER:
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Apply Now

Refine Your Search

senior bioinformatics jobs in pleasanton ca

Senior AI Data Scientist I

Senior Director, Bioinformatics

Senior Scientist, Bioinformatics

Senior Bioinformatics Software Engineer

Senior Bioinformatics Scientist

AIML - Sr Data Scientist, Evaluation

Senior Director, Bioinformatics San Carlos

Senior Data Scientist #4887

Senior AI Scientist

Senior Data Scientist #4887

Senior / Principal Scientist – NGS & Translational Genomics (次世代定序/轉譯醫學研發)

Sr. Software Engineer

Sr. Software Engineer (Health AI and Machine Learning)

Senior Backend Engineer - Core Java & Systems Integration

Senior / Staff Scientist, Assay Automation

Senior Scientist, IVD Product Development

Senior Staff Data Engineer

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