ZipRecruiter

Log In

1

Bioinformatics Data Engineer Jobs in California (NOW HIRING)

ACL Digital

Bioinformatics Engineer

Foster City, CA

$70 - $80/hr

Bioinformatics Engineer -- T2T Genome Assembly (Non model Organisms) Location: Foster City, CA ... Key Responsibilities • Plan assembly approaches for non model organisms (data QC, genome ...

ACL Digital

Bioinformatics Engineer

Foster City, CA

$80/hr

Associate Scientist - Bioinformatics V / Bioinformatics Engineer Location: Foster City, CA Duration ... Key Responsibiliti es • Plan assembly approaches for non model organisms (data QC, genome ...

Novartis

Senior Expert I, Data Science

San Diego, CA

$126K - $234K/yr

The Oncology Data Science group within Biomedical Research supports the Oncology Disease Area with ... Proficiency in one or more programming languages for bioinformatics applications (e.g., Python, R ...

next page

Showing results 1-20

All JobsBioinformatics Data Engineer JobsBioinformatics Data Engineer Jobs in California

Bioinformatics Data Engineer information

How do Bioinformatics Data Engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data EngineerBioinformatics 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a Bioinformatics Data Engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

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

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in California? For Bioinformatics Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in California look for? The top searched job categories for Bioinformatics Data Engineer jobs in California are:
What cities in California are hiring for Bioinformatics Data Engineer jobs? Cities in California with the most Bioinformatics Data Engineer job openings:
Bioinformatics Data Engineer jobs near you
Staff/Senior Staff, Bioinformatics Data Scientist

Staff/Senior Staff, Bioinformatics Data Scientist

Rezo Therapeutics

San Francisco, CA • On-site

$180K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago

Job description

About Rezo Therapeutics
Rezo is a different kind of biopharma company. Our mission is to dramatically increase the success rate of drug development by building a disease-agnostic, fully-integrated, network biology platform that will redefine our understanding of human disease and ability to treat it.
We are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches.
Located in San Francisco's vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities. We recognize that realizing our mission depends as much on our people as it does on our science and are building a workplace that fosters collaboration, respect, and diversity where contributing to your team's success is valued as highly as individual achievements. If you're passionate about team science and breaking down barriers to progress in drug development, please consider joining us!
The Opportunity
We are hiring at the Staff / Senior Staff level for a Bioinformatics / Data Scientist to join Rezo's Computational Biology and AI Team. In this role, you will collaborate with an interdisciplinary group combining genetics, proteomics and structural biology to tackle challenging biological questions and develop transformative therapies. You will combine your deep expertise and statistical rigor to analyzing biological data with the ability to communicate clearly and effectively to biological and computational audiences. The impact of your work will extend beyond building tools and performing analyses to directly impact therapeutic program decisions. Joining Rezo at this stage provides an opportunity to make a meaningful impact in a fast-paced, collaborative environment.
Key Responsibilities:
  • Design and implement analyses across Rezo's protein network datasets, refining existing approaches and developing new methods as needed.
  • Integrate multi-omics data to build mechanistic and translational understanding of our programs, spanning from mechanism of action to patient biomarker selection strategies.
  • Build internal tools and interfaces that enable the rest of the company to explore the data and make decisions based on conducted analyses.
  • Familiar with ML methods, including interpreting results and experience curating data for ML methods.
  • Communicate results clearly in writing, figures and presentations so that the analyses can be translated into program decisions.

Qualifications:
  • PhD in computational biology, bioinformatics, systems biology, cancer biology or related field with 8+ years of industry experience.
  • Deep experience analyzing at least three of the following -omic datasets: transcriptomics, proteomics and their variants (e.g. phosphoproteomics, etc.), AP-MS / interactomic data and functional genomics (e.g. DepMap, CRISPR screens).
  • Strong python engineering skills. Comfortable working in a shared codebase and using software engineering best practices, including code reviews.
  • Clear demonstrations of the ability to take a biological question from raw data to a concrete mechanistic or translational conclusion.
  • Working fluency in cancer biology, including oncogenic signaling, tumor suppressors, cell cycle and the use of biomarker classification to distinguish sensitive versus resistant populations.
  • Proven ability to work independently while fostering collaboration in a team environment.
  • Excellent organizational, communication, and interpersonal skills.

Compensation at Rezo
The expected starting salary range for this position based in San Francisco, California for Staff/Senior Staff level is $180,000-$260,000. Actual starting salary will be determined based on multiple job-related factors including candidate's skills, education, and experience, the level at which they are hired, market demand, business needs, and internal parity. This role is eligible for participation in our Annual Discretionary Bonus Plan (based on individual and company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. This position is also eligible for the benefits detailed below.
Benefits at Rezo
Medical (HMO or PPO), dental, and vision insurance
Discretionary time off policy
Company holidays (including summer and winter shutdown)
401(k) retirement savings program
Commuter / Mass Transit Benefit Program
Healthcare Flexible Spending Account (FSA)
Dependent care Flexible Spending Account (FSA)
Parental leave
Competitive compensation
Flexible work schedule
EEOC
At Rezo we value a diverse, equitable, inclusive workplace and provide equal employment opportunity to all persons without regard to race, color, sex, gender identity, gender expression, religion, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. This statement covers all facets of employment and is especially important when it comes to growing our team.
If you are wondering if you'll belong at Rezo, or are worried that you don't meet 100% of the qualifications for this role, take a chance on us and yourself - please apply!
SF Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, Rezo considers qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply