Sr. Data Analyst, MRD & Oncology Diagnostics

Quest Diagnostics Incorporated; Baltimore (MD); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Day 1 Medical

Dental & Vision

Best-in-class well-being programs

Blueprint for Wellness

healthyMINDS mental health program

Vacation and Health/Flex Time

6 Holidays + 1 MyDay off

401(k) with company match

Employee stock purchase plan

Life and disability insurance

Flexible Spending Accounts

Annual incentive plans

Educational assistance

Career advancement opportunities

Job summary

Quest Diagnostics Incorporated in Baltimore, MD is seeking a Senior Data Analyst to unlock value from genomic and clinical data across MRD assays and processing pipelines. You will partner with R&D, Bioinformatics, and Operations to build automated dashboards, validate models, and support scalable data workflows while ensuring regulatory compliance and quality standards.

The ideal candidate has strong SQL, Python/R skills, and experience with data visualization tools, oncology diagnostics, and

Qualifications

• 3+ years of data analysis experience in a clinical laboratory, biotech, or healthcare setting.
• Exposure to oncology diagnostics, NGS data, or MRD testing is highly preferred.
• Knowledge of regulatory frameworks (FDA, CLIA, CAP, ISO) and software quality standards.
• Strong SQL skills for querying large datasets and data modeling with Python or R.
• Experience with data visualization tools (Tableau, Power BI) and cross-functional collaboration.

Responsibilities

• Analyze complex datasets related to MRD assay performance and turnaround times.
• Design, build, and maintain automated dashboards communicating key metrics.
• Collaborate with R&D, Product Development, and Bioinformatics to support new assays.
• Ensure regulatory compliance and quality documentation within SDLC for NGS systems.
• Identify bottlenecks in lab workflows and propose data-driven improvements.

Skills

SQL querying

Data analysis

Python

R

Data visualization

Education

Bachelor's or Master's degree in Data Science or related field

Tools

Python

R

Tableau

Power BI

Job description

Pay Range: $80,000.00 - $100,000.00 / year

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.

Benefits Information:

• * Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours
• * Best-in-class well-being programs
• * Annual, no-cost health assessment program Blueprint for Wellness
• * healthyMINDS mental health program
• * Vacation and Health/Flex Time
• * 6 Holidays plus 1 "MyDay" off
• * FinFit financial coaching and services
• * 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service
• * Employee stock purchase plan
• * Life and disability insurance, plus buy-up option
• * Flexible Spending Accounts
• * Annual incentive plans
• * Matching gifts program
• * Education assistance through MyQuest for Education
• * Career advancement opportunities
• * and so much more!

Quest Diagnostics is a leading clinical laboratory dedicated to providing innovative diagnostic information services. We are at the forefront of oncology diagnostics, leveraging advanced Next-Generation Sequencing (NGS) technologies to deliver life-changing insights. As we expand our offerings in Minimal Residual Disease (MRD) testing and early cancer detection, we are looking for a passionate Sr. Data Analyst to join our team.

The Sr.Data Analyst will play a critical role in unlocking the value of complex genomic, clinical, and operational data. This role will work cross-functionally alongside Laboratory and Clinical Operations, R&D, and Bioinformatics to drive data-informed decisions that support the scaling and optimization of our MRD assays. The ideal candidate will have a strong analytical mindset, a deep understanding of laboratory data workflows, and a passion for improving patient outcomes through precision oncology.

Responsibilities:

• Data-Driven Insights & Reporting: Analyze complex datasets related to MRD assay performance, laboratory turnaround times, and clinical validity. Design, build, and maintain automated dashboards to communicate key metrics to cross-functional stakeholders.
• Cross-Functional Collaboration: Partner with the R&D and Product Development teams to provide analytical support for the design, validation, and commercialization of new early-detection oncology and MRD assays.
• Bioinformatics & Pipeline Support: Work closely with Bioinformatics engineers to analyze pipeline outputs and support the strategic scaling of robust data pipelines.
• Regulatory Compliance & Quality: Ensure all data management and reporting processes align with strict regulatory standards (e.g., FDA, ISO, IEC). Support documentation and risk management efforts as part of a robust Software Development Life Cycle (SDLC) for our NGS systems.
• Operational Excellence: Identify bottlenecks in laboratory workflows and propose data-backed solutions to improve testing efficiency, accuracy, and scalability.

Qualifications:

Required Work Experience:

• 3+ years of experience in data analysis, preferably within a clinical laboratory, biotech, academia or healthcare setting.

Preferred Work Experience:

• Exposure to oncology diagnostics, NGS data, and/or MRD testing is highly preferred.

Knowledge:

• Familiarity with genomic data, bioinformatics workflows, and clinical assay validation.
• Understanding of regulatory compliance frameworks (FDA, CLIA, CAP, ISO) and software quality standards.
• High proficiency in querying and manipulating large datasets using SQL.
• Strong programming skills in Python or R for statistical analysis and data modeling.
• Experience with data visualization tools (e.g., Tableau, Power BI, Metabase).
• Exceptional problem-solving skills and the ability to translate complex technical findings into clear, strategic business recommendations.
• Strong communication and collaboration skills with a proven track record of working effectively across scientific, technical, and business teams.

Work Environment:

• Hybrid (3 days per week in office at the Haystack Baltimore, MD site)

Education:

• Bachelor's or Master's degree in Data Science, Bioinformatics, Biostatistics, Computer Science, Health Informatics, or a related quantitative field.

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