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About the Role

As a Scientist III, Bioinformatics, you will apply your knowledge of biology, oncology, and genomic data analysis to active diagnostic development programs. Your work will include preparing study datasets, investigating sequencing results, and developing tools that improve the quality and efficiency of scientific analysis. You will join a collaborative team and work with colleagues in Research and Development, Program Management, Clinical Affairs, Biostatistics, Quality, Regulatory Affairs, and Software Development. This role offers opportunities to contribute across multiple programs, deepen your expertise in regulated diagnostic development, and apply new computational approaches, including AI-assisted tools, with sound scientific judgment.

Responsibilities

Prepare, curate, and review study datasets, including variant and quality-control line listings, sample metadata, and data transfer packages.
Reconcile source data and resolve missing, inconsistent, or unexpected results before delivery.
Analyze DNA and RNA sequencing results in the context of assay design, oncology biomarkers, and study requirements.
Assess variant coverage, reporting eligibility, and differences between assays or analysis configurations.
Investigate discordant results, unexpected variant calls, no-calls, and quality-control findings.
Review sequencing evidence and analysis settings, document the findings, and explain what the evidence does and does not support.
Prepare program-specific assay definition inputs, including hotspot and variant content files, and perform reanalyses using defined software and configuration versions.
Provide analyses and technical documentation for study reports, regulatory questions, and partner requests.
Maintain traceability to source data, methods, and analysis versions.
Develop and improve scripts and tools for recurring tasks such as dataset curation, variant comparison, quality checks, and reporting.
Test changes, participate in code review, and document methods so others can use and maintain them.
Use approved AI-assisted tools where useful for coding, troubleshooting, data exploration, and documentation.
Independently verify generated code and content before use, with appropriate protection of confidential data.
Manage assigned deliverables across multiple programs, clarify requirements with collaborators, and communicate findings, dependencies, and delivery risks.

Requirements

Bachelor’s degree with at least five years of relevant experience, or an advanced degree with at least three years of relevant experience, in bioinformatics, computational biology, molecular biology, or a related field.
Hands-on experience analyzing NGS data in oncology, molecular diagnostics, or a closely related setting.
Experience preparing and reviewing scientific datasets for use by other teams or external collaborators.
Strong understanding of molecular biology, cancer genomics, and the relationship between genomic alterations and diagnostic assay design.
Working knowledge of NGS data processing, variant calling, sequencing quality metrics, and sources of technical error.
Experience with Linux/Unix, Git, and common sequencing data formats such as BAM and VCF.
Experience interpreting relevant variant classes, such as SNVs, indels, copy-number alterations, gene fusions, and splice variants.
Proficiency in Python or another suitable analysis language, including the ability to write, troubleshoot, and review code independently.
Ability to reconcile data from multiple sources and build reproducible analyses with documented assumptions and quality checks.
Practical familiarity with AI-assisted tools and their limitations, including the ability to identify and correct unsupported or incorrect outputs.
Ability to explain technical findings clearly, distinguish evidence from assumptions, and recognize when further analysis or specialist input is needed.
Companion diagnostic development or analytical and clinical validation studies.
Targeted oncology sequencing of FFPE tissue or plasma specimens.
Work in a regulated or quality-controlled environment, including documented analysis methods, version control, and review requirements.
Preparation of partner data transfers, study-report datasets, or analyses supporting regulatory submissions.

Skills

Bioinformatics
Computational biology
Molecular biology
Genomic data analysis
NGS data analysis
Oncology
Cancer genomics
Diagnostic assay design
NGS data processing
Variant calling
Sequencing quality metrics
Linux/Unix
Git
BAM
VCF
SNVs
Indels
Copy-number alterations
Gene fusions
Splice variants
Python
AI-assisted tools

Location

Texas

Work Type

Office
Standard (Mon-Fri)

Experience Level

Scientist III
at least five years of relevant experience (Bachelor's degree)
at least three years of relevant experience (advanced degree)

Education Level

Bachelor's degree
Advanced degree

Salary/Compensations

$89,800.00–$122,000.00

Benefits

Variable annual bonus
Choice of national medical and dental plans
National vision plan
Health incentive programs
Employee assistance and family support programs
Commuter benefits
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
Short- and long-term disability
401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP)

About the Company

At Thermo Fisher Scientific, our mission is to enable our customers to make the world healthier, cleaner, and safer.
Our CDx Bioinformatics team contributes to that mission by supporting the development of next-generation sequencing companion diagnostics that help guide cancer treatment.