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Bioinformatics Data Engineer Jobs in Austin, TX (NOW HIRING)

We are seeking a curious and self-motivated UEFI BIOS Engineer to join our team and contribute to the development of next-generation industry-standard server platforms. Our work focuses on enhancing ...

We are seeking a curious and self-motivated UEFI BIOS Engineer to join our team and contribute to the development of next-generation industry-standard server platforms. Our work focuses on enhancing ...

We are seeking a curious and self-motivated UEFI BIOS Engineer to join our team and contribute to the development of next-generation industry-standard server platforms. Our work focuses on enhancing ...

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ...

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ...

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ...

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Bioinformatics Data Engineer information

See Austin, TX salary details

$42.6K

$129.9K

$236.4K

How much do bioinformatics data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for bioinformatics data engineer in Austin, TX is $129,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $155,600.00 per year, depending on experience, location, and employer.

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 Austin, TX? For Bioinformatics Data Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Austin, TX look for? The top searched job categories for Bioinformatics Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Bioinformatics Data Engineer jobs? Cities near Austin, TX with the most Bioinformatics Data Engineer job openings:
Infographic showing various Bioinformatics Data Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 7% Internship, 43% As Needed, 25% Full Time, 6% Part Time, and 18% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $129,901 per year, or $62.5 per hour.
Scientist III, Bioinformatics

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 419 frontline employees who took The Breakroom Quiz

200th of 535 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

At Thermo Fisher Scientific, our mission is to enable our customers to make the world healthier, cleaner, and safer. Within the Clinical Sequencing Division, bioinformatics plays an important role in enabling precision oncology diagnostics and advancing genomic medicine.

Location/Division-Specific Information:

Carlsbad, CA, or Austin, TX. Relocation assistance is NOT provided. 

*Must be legally authorized to work in the United States without sponsorship.

*Must be able to pass a comprehensive background check, which includes a drug screen.

Discover Impactful Work:

As a Scientist III, Bioinformatics, you will contribute to the development and maintenance of bioinformatics applications, data systems, and computational workflows that support next-generation sequencing (NGS) companion diagnostic (CDx) assay development.

In this role, you will collaborate with scientists, engineers, and cross-functional partners to develop tools and workflows that support genomic data analysis, assay development, and regulated diagnostic programs. Your work will help ensure that bioinformatics systems supporting diagnostic development are reliable, reproducible, and well-documented.

You will also contribute to emerging initiatives that explore the use of AI-enabled tools to enhance bioinformatics workflows, data analysis, and internal scientific applications.

This position combines bioinformatics expertise with scientific software development to support scalable genomic analysis and integration with laboratory and data management systems.

A Day in the Life:

Bioinformatics Application Development

Develop and maintain internal bioinformatics applications and computational tools to support genomic data analysis and the development of companion diagnostic assays.

Workflow and Pipeline Development

Implement and improve automated workflows for next-generation sequencing (NGS) data processing and analysis using scripting languages and workflow frameworks.

Data Systems and Integration

Support development and integration of bioinformatics workflows with data systems, databases, and laboratory information management systems (LIMS).

AI-Enabled Workflow Support

Contribute to the evaluation and integration of AI-enabled tools that enhance bioinformatics workflows, scientific data analysis, and internal research applications.

Cross-Functional Collaboration and Documentation

Work with scientists, engineers, and program teams to develop computational solutions supporting diagnostic development and document workflows to ensure reproducibility and maintainability within regulated environments.

Keys to Success

Education

Bachelor’s in Bioinformatics, Computational Biology, Computer Science, Molecular Biology, or a related field required.

Experience

  • 5 years of experience in bioinformatics and NGS data analysis (Advanced degree plus 3 years of experience).
  • Experience programming in Python or a similar language.
  • Experience working in Linux or Unix environments.
  • Experience developing or supporting bioinformatics pipelines or analysis tools.
  • Familiarity with next-generation sequencing (NGS) data analysis.
  • Experience using version control systems such as Git.
  • Experience collaborating with cross-functional scientific teams.

Knowledge, Skills, and Abilities

Programming and Scientific Computing

  • Proficiency in Python or similar programming languages.
  • Experience developing scripts, tools, or applications for scientific data analysis.
  • Familiarity with software development practices such as version control and documentation.

Bioinformatics and Genomics

  • Understanding of common bioinformatics workflows and sequencing data formats.
  • Experience working with genomic datasets.

Data Systems

  • Familiarity with databases or structured data systems (e.g., SQL).
  • Experience working with large or complex scientific datasets.

Workflow and Infrastructure

  • Familiarity with workflow frameworks such as Nextflow, Snakemake, or similar tools.
  • Experience with container technologies such as Docker is helpful.
  • Exposure to cloud computing platforms such as AWS or GCP is beneficial.

AI and Emerging Technologies

  • Exposure to AI or machine learning tools used in scientific computing or data analysis is a plus.
  • Interest in applying AI-enabled tools to improve scientific workflows.

Collaboration and Communication

  • Ability to communicate technical information clearly.
  • Ability to work effectively in collaborative, multidisciplinary teams.
  • Strong problem-solving and analytical skills.

Benefits:

We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!

Compensation and Benefits

The salary range estimated for this position based in California is $95,900.00–$120,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards


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