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Bioinformatics Programmer Analyst Jobs in Pleasanton, CA

QIAGEN

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

We have developed industry-leading software tools for analysis and reporting of biological data. We ... As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ...

Qiagen

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

We have developed industry-leading software tools for analysis and reporting of biological data. We ... As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ...

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All JobsBioinformatics Programmer Analyst JobsBioinformatics Programmer Analyst Jobs in Pleasanton, CA

Bioinformatics Programmer Analyst information

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$23

$51

$76

How much do bioinformatics programmer analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for bioinformatics programmer analyst in Pleasanton, CA is $51.73, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $62.88 per hour, depending on experience, location, and employer.

What is a bioinformatics programmer analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

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

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What are some common challenges faced by bioinformatics programmer analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

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For Bioinformatics Programmer Analyst jobs in Pleasanton, CA, the most frequently searched job titles are:

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The top searched job categories for Bioinformatics Programmer Analyst jobs in Pleasanton, CA are:

What cities near Pleasanton, CA are hiring for Bioinformatics Programmer Analyst jobs?

Cities near Pleasanton, CA with the most Bioinformatics Programmer Analyst job openings:

Bioinformatics Programmer Analyst jobs near you
Infographic showing various Bioinformatics Programmer Analyst job openings in Pleasanton, CA as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $107,592 per year, or $51.7 per hour.

Bioinformatics Data Engineer / Programmer

Omega Solutions, Inc.

Santa Clara, CA • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Omega Solutions, Inc. is seeking a Bioinformatics Data Engineer to support clinical research through data solutions. The role involves developing clinical programming code and collaborating with various teams to ensure data integrity and quality throughout the data lifecycle.
Responsibilities:
• Contribute to derived clinical feature workflows for clinical study data, working from raw data extracts, through data dissemination with a strong focus on automation and data QC.
• Assist in developing and managing interactive data visualization and analytics tools for reporting.
• Play a key role in understanding user requirements, implementing systems and authoring procedures related to system use.
• Maintain data integrity and quality throughout the data lifecycle, including ensuring clinical study-related blinding where appropriate.
Qualifications:
Required:
• BS or MS in quantitative scientific fields (computer science, engineering, mathematics, statistics, bioinformatics, etc.)
• Experience with R or Python programming
• Experience with cross-functional collaboration while ensuring data quality and commitment to analysis reproducibility
• Experience with data visualization and analytics tools
• Excellent interpersonal communication (written and verbal) and organizational skills
• Excellent team player with a demonstrated track record of success in a cross-functional team environment
• Consistent commitment to delivering on team goals with a sense of shared urgency
Preferred:
• Experience with CDISC data models is a plus
• Experience with Amazon Web Services is a plus
Company:
Omega was incorporated in 2007 in the State of California to offer high end IT Solutions ranging from IT Software and product development to technology deployment and specialize in providing software solutions to diverse business sectors in USA and World-wide. Founded in 2007, the company is headquartered in Santa Clara, USA, with a team of 11-50 employees. The company is currently Early Stage.

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