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Bioinformatics Engineering Jobs in California (NOW HIRING)

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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.

What engineers make $500,000?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries or leadership roles. Achieving this level often requires a combination of technical expertise, industry experience, and sometimes managerial responsibilities.

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.

How much does a bioinformatics engineer make?

The average salary for a bioinformatics engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like Python, R, and Linux tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Bioinformatics Engineer, and why are they important?

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 engineers make $300,000 a year?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can earn $300,000 or more annually, especially in high-demand biotech or pharmaceutical industries. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.
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:
Bioinformatics Engineering jobs near you
Bioinformatics Programmer 3

Bioinformatics Programmer 3

University of California San Francisco

San Francisco, CA • On-site

Full-time

Posted 13 hours ago

Job description

Job Description
A cover letter is required for this role.
The Kidney Genetics, Genomics, and Advanced Models Laboratory at the UCSF Mission Bay campus is recruiting an individual with expertise in computational biology.
The general responsibilities of this position are as follows:
  • Independent analysis of single cell and bulk genomics data including from CRISPR screens, kidney organoid models, and primary cell models. Datasets generated and used by the laboratory include single cell and bulk RNA-seq, single cell and bulk ATAC-sequencing, ChiP-sequencing, and HiC.
  • Analysis of biobank scale human genetics data to identify novel genotype-phenotype and gene-environment interactions.
  • Figure generation and writing for publications and grant proposals
  • Coordination and management of laboratory compute resources

Candidates will be expected to work independently and in a collaborative multidisciplinary team. Opportunities for career development will be provided and encouraged. The candidate will report to Gabriel Loeb, MD, PhD, the Principal Investigator of the Kidney Genetics, Genomics, and Advanced Models Laboratory.
Department Description:
The Nephrology Division spans multiple campuses with faculty and staff located at the UCSF Health, San Francisco Veterans Affairs Medical Center, and Zuckerberg San Francisco General The Nephrology Division consists of faculty, fellows, and staff whose work is grounded in deep commitment to and respect for patients with kidney disease.
The Nephrology Division has employed and trained leaders in academic nephrology, superb clinical research scientists and basic scientists, and outstanding clinical nephrologists. Our faculty are leading experts in adult nephrology: including acute kidney injury, chronic kidney disease, hypertension, electrolyte disorders, and kidney transplantation.
Our mission continues in this tradition: expanding the frontiers of basic and clinical investigation in nephrology, training the next generation of academic nephrology leaders and providing the highest level of patient care. Our division within and the UCSF School of Medicine overall
Qualifications
Required qualifications:
  • Bachelor's degree in Bioinformatics/ Systems Biology/ Math/ Statistics/ Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience / training.
  • 3 or more years of directly relevant programming experience
  • Proficiency in at least one programming language used for single-cell analysis (e.g., R or Python), including use of established single-cell analysis frameworks.
  • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures.
  • Thorough knowledge of bioinformatics programming design, modification and implementation.
  • Independently design and execute end-to-end single-cell analysis pipelines.
  • Strong project management skills.
  • Ability to generate publication-quality figures and clearly communicate analytical results in writing.
  • Demonstrated ability to work independently and collaboratively within a multidisciplinary research team.
  • Make and defend methodological choices for normalization, integration, and statistical testing
  • Partner closely with experimentalists to shape data generation and interpret biological findings.
  • 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.

Preferred qualifications:
  • PhD degree in Bioinformatics/ Systems Biology/ Math/ Statistics/ Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience. Strong preference for those with experience in advanced single cell sequencing and genomewide association data analyses.Substantial experience with single-cell data integration, batch correction, and multi-modal analysis.
  • Experience analyzing perturbation-based single-cell datasets, including CRISPR or pooled screens.
  • Experience working with organoid or disease-model single-cell datasets.
  • Familiarity with scalable or high-performance computing environments for large single-cell datasets.
  • Experience with bulk genomics and human genetics data

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

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