Scientist III, Bioinformatics
Listed on 2026-06-18
-
Research/Development
Data Scientist
Work Schedule
Standard (Mon
- Fri)
Office
Job DescriptionAt 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 InformationCarlsbad, 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 WorkAs 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 DevelopmentDevelop and maintain internal bioinformatics applications and computational tools to support genomic data analysis and the development of companion diagnostic assays.
Workflow and Pipeline DevelopmentImplement and improve automated workflows for next‑generation sequencing (NGS) data processing and analysis using scripting languages and workflow frameworks.
Data Systems and IntegrationSupport development and integration of bioinformatics workflows with data systems, databases, and laboratory information management systems (LIMS).
AI‑Enabled Workflow SupportContribute to the evaluation and integration of AI‑enabled tools that enhance bioinformatics workflows, scientific data analysis, and internal research applications.
Cross‑Functional Collaboration and DocumentationWork 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 EducationBachelor’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.
- 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.
- Understanding of common bioinformatics workflows and sequencing data formats.
- Experience working with genomic datasets.
- Familiarity with databases or structured data systems (e.g., SQL).
- Experience working with large or complex scientific datasets.
- 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.
- Exposure to AI or machine…
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