Sr. Data Analyst, MRD & Oncology Diagnostics

Pay Range: $80000.00 - $100000.00 / 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:

We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy happy lives. Our pay and benefit plans have been designed to promote employee health in all respects physical financial and developmental. Depending on whether it is a part-time or full-time position some of the benefits offered may include:

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 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.

• 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.

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:

• Bachelors or Masters degree in Data Science Bioinformatics Biostatistics Computer Science Health Informatics or a related quantitative field.