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Bioinformatics Associate Jobs in Dublin, CA (NOW HIRING)

BillionToOne

Research Associate

Menlo Park, CA

$104K/yr

  • Medical

  • Retirement

  • PTO

The Research Associate position at BillionToOne is exceptionally rare at the undergraduate or early ... Collaborate with other teams to implement lab and bioinformatic workflows * Contribute positively ...

BillionToOne

Research Associate

Menlo Park, CA · On-site

  • Medical

  • Retirement

  • PTO

The Research Associate position at BillionToOne is exceptionally rare at the undergraduate or early ... Collaborate with other teams to implement lab and bioinformatic workflows * Contribute positively ...

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All JobsBioinformatics Associate JobsBioinformatics Associate Jobs in Dublin, CA

Bioinformatics Associate information

See Dublin, CA salary details

$55.2K

$229.1K

$450.5K

How much do bioinformatics associate jobs pay per year?

As of Aug 16, 2026, the average yearly pay for bioinformatics associate in Dublin, CA is $229,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $450,500.00 per year, depending on experience, location, and employer.

What does a Bioinformatics Associate do?

The role of a bioinformatics associate is to perform detailed data analysis in a biology or life sciences research lab. An associate is a staff scientist or researcher, and they have significant responsibilities within the lab structure. They are responsible for conducting information support using primary research as well as developing models using a data algorithm or other analytical tools. A bioinformatics associate uses these to analyze the information and data sets collected in the lab. They may also develop a storage and archiving system so that other researchers can access data sets. Qualifications to become a bioinformatics associate typically include a master’s degree or Ph.D.

What does a Bioinformatics Associate do?

A Bioinformatics Associate is responsible for analyzing and interpreting complex biological data, often using computational tools and software. They work closely with scientists to manage and process large datasets, such as genomic sequences or protein structures. Their tasks may include developing workflows, running bioinformatics pipelines, and helping to visualize and present results. Typically, they support research projects in fields like genomics, molecular biology, and drug development. Bioinformatics Associates play a key role in translating raw biological data into actionable scientific insights.

What are the key skills and qualifications needed to thrive as a Bioinformatics Associate?

A Bioinformatics Associate requires a strong background in biology, computer science, and statistics, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Python, R, and experience with genomic databases are commonly expected, along with knowledge of data visualization platforms. Critical thinking, attention to detail, and effective communication help professionals interpret complex data and collaborate with scientific teams. These skills ensure accurate analysis, meaningful insights, and successful contributions to research projects in a rapidly evolving field.

How does a Bioinformatics Associate typically collaborate with laboratory scientists and data analysts on research projects?

Bioinformatics Associates often serve as a bridge between laboratory scientists and data analysts, translating experimental requirements into computational workflows and helping to interpret complex biological data. They regularly meet with lab teams to discuss project goals, data quality, and analysis strategies, ensuring that bioinformatics approaches align with experimental designs. Collaboration is highly iterative, involving feedback loops to refine analyses based on preliminary findings and to troubleshoot data issues, which helps drive research projects forward efficiently and accurately.
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Bioinformatics Associate jobs near you
Infographic showing various Bioinformatics Associate job openings in Dublin, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $229,145 per year, or $110.2 per hour.

BIOINFORMATICS PROGR

University of California San Francisco

San Francisco, CA • On-site

Full-time

Re-posted 22 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities

Job description

The Cardiovascular Genetics Center at University of California, San Francisco is seeking an experienced bioinfomatician to faciliate several lines of research that relate broadly to inherited forms of cardiovascular disease, regulation of gene expression in health and disease, and personalized genetic medicine. The incumbent will work closely with prinicpal investigators within the Genetic Center to design and implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic research, and analysis of patient-derived genomic data from UCSF patients as well as publicly available data repositories. The goal will be to make fundamental biological discoveries that can ultimately be translated to understanding, prevent, and treat heritable cardiovascular diseases.
More specifically, the role involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database searching and integration. Maintains the computational infrastructure and tracks the flow of samples and information for large-scale studies. Provides web-based bioinformatics and access to public and proprietary databases.
 
The scope of work will include anayzing biological datasets generated experimentally including but not limited to bulk and single cell multiomics sequencing, epigenomics data including ChIP-Seq and CUT&RUN, and imaging data including spatial transcriptomics; overlapping experimental data with publicaly available genomic and expression datasets including UK Biobank, All of Us, Heart Cell Atlas, and similar datasets. There will also be analysis of genome sequencing data including whole exome- and whole genome sequencing to discern rare and common variants implicated in cardiovascular disease.The incumbent will also implement machine learning algorithms to analyze biological datasets.  There will be frequent collaboration with bench scientists and clinicians in a highly collegial and stimulating scientific environment.
About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Salary Information

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Required Qualifications

  • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training
  • A minimum of 3 years of relevant work experience in bioinformatics or computational biology
  • Thorough knowledge of bioinformatics programming design, modification and implementation in relevant languages such as Python, R, and/or equivalent
  • Understanding of relational databases, web interfaces, and operating systems
  • Strong project management skills
  • Thorough knowledge of modern biology and applicable field of research
  • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization
  • Ability to communicate technical information in a clear and concise manner
  • Ability to interface with management on a regular basis
  • Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills
  • Thorough knowledge of web, application and data security concepts and methods
  • Familiarity with cloud-based computing and high-performance computing environments
  • Proven expertise, as reflected in publication record, in analyzing high-throughput sequencing datasets, including RNA-sequencing, ATAC-sequencing, and chromatin occupancy studies
  • Thorough In-depth knowledge of genomic databases, tools, and statistical frameworks

Preferred Qualifications

  • PhD in Bioinformatics or a closely related field

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