Scientist III, Bioinformatics – Companion Diagnostics

Thermo Fisher Scientific

. Prepare, curate, and review study datasets, including variant and quality-control line listings, sample metadata, and data transfer packages .

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $89,800 - $122,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analyzing NGS data, particularly in oncology and molecular diagnostics, while effectively preparing and reviewing scientific datasets. Proficient in utilizing AI-assisted tools and programming languages like Python to enhance data analysis and ensure quality control in a regulated environment.

Highest-signal resume keywords

NGS Data AnalysisMolecular Biology ExpertisePython ProgrammingLinux/Unix ProficiencyVariant Interpretation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

NGS Data ProcessingVariant CallingSequencing Quality MetricsData ReconciliationAssay DesignQuality ControlData CurationStatistical AnalysisTechnical DocumentationReproducible Analyses

Soft Skills

CollaborationCommunicationProblem-SolvingAttention to DetailCritical Thinking

Tools & Technologies

AI-Assisted ToolsGitBAM FormatVCF FormatData Transfer Packages

Industry Keywords

Oncology BiomarkersCancer GenomicsCompanion Diagnostic DevelopmentClinical Validation StudiesRegulatory Submissions

Tech Stack

Tools & technologies

LinuxPythonUnix

About the role

Key responsibilities & impact

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 findings, and explain what the evidence does and does not support
Prepare program-specific assay definition inputs, including hotspot and variant content files
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 dataset curation, variant comparison, quality checks, and reporting
Test changes, participate in code review, and document methods for maintenance and reuse
Use approved AI-assisted tools for coding, troubleshooting, data exploration, and documentation, while independently verifying generated code and content
Manage assigned deliverables across multiple programs
Clarify requirements with collaborators and communicate findings, dependencies, and delivery risks
Collaborate with Research and Development, Program Management, Clinical Affairs, Biostatistics, Quality, Regulatory Affairs, and Software Development teams

Requirements

What you’ll need

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 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

Benefits

Comp & perks

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
Short- and long-term disability in accordance with company policy
Competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP), offering eligible colleagues the opportunity to purchase company stock at a discount
Variable annual bonus eligibility based on company, team, and/or individual performance results