1

Bioinformatics Engineering Jobs in California (NOW HIRING)

PhD in Bioinformatics, Computer Science, Engineering, Statistics, Cancer Biology or similar field ... 0-3 years of professional or postgraduate experience in bioinformatics or computational biology.

... in programming in scripting (Python or similar) and interpreted languages (R, etc). • ... and bioinformatics innovation. Company : GATC Health uses AI to speed drug discovery, predict ...

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Experience in programming in scripting (Python or similar) and interpreted languages (R, etc ... Computational biology and bioinformatics innovation. Why Join Us: * Opportunity to work at the ...

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Experience in programming in scripting (Python or similar) and interpreted languages (R, etc ... Computational biology and bioinformatics innovation. $70,000 - $85,000 a year Why Join Us: • ...

Showing results 21-40

Bioinformatics Engineering information

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What are popular job titles related to Bioinformatics Engineering jobs in California?

For Bioinformatics Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Engineering jobs in California look for?

The top searched job categories for Bioinformatics Engineering jobs in California are:

What cities in California are hiring for Bioinformatics Engineering jobs?

Cities in California with the most Bioinformatics Engineering job openings:

Infographic showing various Bioinformatics Engineering job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Full-time

Re-posted 21 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.
Qualifications
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

About Us
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

What University Of California San Francisco employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom