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Full Time Bioinformatics Analyst Jobs in California

Vivodyne

Senior Bioinformatician

San Francisco, CA

This is a full-time, onsite role in San Francisco. Responsibilities Develop and Own Analytical ... Ph.D. in Computational Biology, Bioinformatics, Genomics, Systems Biology, Biostatistics, or a ...

LabAnswer

Bioinformatics JAVA Developer

San Francisco, CA · On-site

$60 - $77.75/hr

Strong logical / analytical thinking * Ability to troubleshoot and solve problems * At least 4 ... Additional Information We offer comprehensive benefits to regular full-time employees including but ...

Vivodyne

Senior Bioinformatician

San Francisco, CA · On-site

This is a full-time, onsite role in San Francisco. Responsibilities Develop and Own Analytical ... Ph.D. in Computational Biology, Bioinformatics, Genomics, Systems Biology, Biostatistics, or a ...

Early-Stage biotech startup

Be Seen First

Research Scientist, Early-Stage Biotech Startup

San Diego, CA · On-site

$85K - $125K/yr

Bioinformatics and statistical analysis * Multiomics and AI-assisted biological research ... We are open to both: * Full-time * Part-time, approximately 15 to 30 hours per week For the right ...

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Full Time Bioinformatics Analyst information

What does a full time bioinformatics analyst do?

A Full Time Bioinformatics Analyst is responsible for analyzing complex biological data, such as DNA, RNA, and protein sequences, using computational tools and software. They work closely with researchers and scientists to interpret data generated from experiments, develop algorithms to process large datasets, and help draw meaningful conclusions from biological information. Their work is crucial in fields such as genomics, drug discovery, and personalized medicine, where they help turn raw biological data into actionable insights.

What are the key skills and qualifications needed to thrive as a full time bioinformatics analyst?

To thrive as a Full Time Bioinformatics Analyst, you need a solid background in molecular biology, statistics, and programming, usually supported by a degree in bioinformatics, computational biology, or a related field. Expertise in tools like Python, R, Linux, and bioinformatics databases, as well as familiarity with NGS data analysis pipelines, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex data. These skills are essential for ensuring accurate data analysis, driving research insights, and supporting scientific discovery in a fast-evolving field.

What are some typical challenges a full time bioinformatics analyst might face when working on large-scale genomics projects?

Bioinformatics Analysts working on large-scale genomics projects often encounter challenges such as managing and processing vast amounts of sequencing data, ensuring data quality, and integrating datasets from multiple sources. Additionally, they must stay current with rapidly evolving bioinformatics tools and pipelines while collaborating closely with researchers, biologists, and IT specialists. Effective communication and problem-solving skills are essential to address data discrepancies, interpret complex biological results, and deliver actionable insights to interdisciplinary teams.

What is the difference between Full Time Bioinformatics Analyst vs Data Scientist?

AspectFull Time Bioinformatics AnalystData Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, healthcare, research organizations
Employer & Industry UsagePrimarily in biotech, pharma, healthcareBroad across industries including tech, finance, healthcare
Common Search & ComparisonYesYes

The main difference between a Full Time Bioinformatics Analyst and a Data Scientist lies in their focus and industry application. Bioinformatics Analysts primarily work with biological data in healthcare and biotech settings, requiring domain-specific knowledge. Data Scientists have a broader scope, working across various industries with data analysis and modeling skills. Both roles often require similar educational backgrounds but differ in their specialized tools and work environments.

What are the most commonly searched types of Bioinformatics Analyst jobs in California?

The most popular types of Bioinformatics Analyst jobs in California are:

What cities in California are hiring for Full Time Bioinformatics Analyst jobs?

Cities in California with the most Full Time Bioinformatics Analyst job openings:

Full Time Bioinformatics Analyst jobs near you

Senior Bioinformatics Data Scientist #4887

GRAIL

Sunnyvale, CA • On-site

$187K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
 
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges.
 
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
 
For more information, please visit grail.com

GRAIL is seeking a Senior Data Scientist to join the Computational Biology team. In this role you will work with population-scale genomic datasets from our on-market commercial product and first-in-class clinical studies to model real-world interactions between technical, biological and clinical factors that underlie current test performance and gain insights into future innovations.

You will be developing novel, state-of-the-art methods and tools that will be used to monitor the output of our in-production multi-cancer classifier. Your work will be critical to the success of a new generation of cancer detection products by defining the parameters that ensure a high level of classifier performance over time. The team works cross-functionally across Grail to connect the knowledge behind our advanced cancer detection technology with the clinical variables that define real-world usage as the product scales to large-scale adoption. The position is an exciting opportunity at the intersection of machine learning and clinical genomics to support GRAIL's mission to detect cancer early, when it can be cured.

This role is based in Sunnyvale, California. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.

Responsibilities:
  • Analyze complex high-dimensional datasets related to multi-cancer early detection test results from Grail's commercial platform in order to identify empirical trends and then communicate findings across teams.
  • Integrate cancer biology, DNA methylation, genomics, epidemiology, and statistics to generate predictive models of expected test performance and identify potential deviations.
  • Participate in cross-functional interactions with interdisciplinary teams including machine learning, software engineering, clinical, laboratory operations, research, and product development.
  • Create and communicate rigorous scientific analyses.
Required Qualifications:
  • Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry or a related field with 2+ years of relevant experience
  • Proven track record in working with large-scale omics datasets in R (preferred) or Python.
  • Experience  with NGS data processing, statistical modeling, and machine learning frameworks and their application to derive technical and biological insights in a clinical setting
  • Excellent communication, collaboration, and problem-solving skills; ability to work independently and effectively across interdisciplinary environments.
  • Demonstrated ability to perform rigorous and detail-oriented work.
Preferred Qualifications:
  • Knowledge of cancer epigenetics,  cancer biology, tumor genetics, and molecular mechanisms of oncogenesis
  • Experience with traditional ML and modern AI techniques
  • Track record of scientific contributions (e.g., publications, tools, datasets, patents, or conference presentations)
  • Proficiency in Python or R, with experience in modern data science workflows (Linux, Git, reproducible pipelines, etc...) 
  • Interest in translating research innovations into production-ready systems
The expected, full-time, annual base pay scale for this position is 156K - $187K.  Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate's qualifications. Employees in this role are also eligible for GRAIL's comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

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