Biomarker QA Expert / Senior Manager – Bioinformatics QA

KPG99 INC; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

A leading company in the Life Sciences sector is seeking a Biomarker QA Expert/Senior Manager to oversee quality assurance for biomarker processes. The ideal candidate will have extensive experience in QA methodologies, bioinformatics, and data management. This fully remote role requires strong analytical skills and a commitment to data integrity, offering a competitive salary and opportunities for advanced QA methods.

Qualifications

• 10+ years of QA experience, with 2+ years specifically in biomarker or bioinformatics QA.
• Strong knowledge of clinical trial data and healthcare data standards like HL7, FHIR.
• Familiarity with test automation frameworks and CI/CD practices.

Responsibilities

• Own and execute the QA strategy for biomarker onboarding and data pipelines.
• Perform detailed manual QA to ensure data accuracy and compliance.
• Collaborate cross-functionally to align on data quality standards.

Skills

Quality Assurance

Bioinformatics

Data Management

Analytical Skills

Problem Solving

Education

Bachelor’s or Master’s degree in Bioinformatics, Computer Science, Life Sciences or related field

Tools

Power BI

Job description

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Job Title: Biomarker QA Expert / Senior Manager – Bioinformatics QA

Location: Remote

Duration: Contract tohire

Industry: Life Sciences / Clinical Research / Bioinformatics

Job Summary

We are seeking a highly skilled Biomarker QA Expert to join our team and take ownership of quality assurance (QA) for biomarker onboarding processes and front-end integrations. This role requires a strong background in bioinformatics, biomarker data management, and QA methodologies, with a hands-on approach to validating complex clinical and research data pipelines.

The ideal candidate will be deeply familiar with biomarker datasets, QA processes, and front-end/backend validation, and have a track record of applying rigorous manual QA techniques while also driving automation efforts. Experience with data governance, clinical research workflows, and familiarity with visualization tools like Power BI is a plus.

Key Responsibilities

• Own and execute the QA strategy for biomarker onboarding, front-end workflows, and data pipelines.
• Perform detailed manual QA to ensure data accuracy, compliance, and integrity across biomarker datasets.
• Create and maintain robust QA methodologies tailored to bioinformatics and clinical research data environments.
• Develop and execute test plans, test cases, and test scripts for UI, API, and database validation (SQL/PLSQL).
• Validate end-to-end data flows from data ingestion to front-end visualization tools, ensuring consistency and reliability.
• Lead efforts to automate testing processes where appropriate, enhancing test coverage and efficiency.
• Collaborate cross-functionally with bioinformatics, data operations, and analytics teams to ensure alignment on data quality standards.
• Investigate and resolve data discrepancies and QA issues related to clinical trial, biomarker, and patient-level data.
• Maintain strong documentation for QA processes, findings, and performance metrics.
• Utilize tools like Power BI or other analytics platforms for QA reporting and dashboards (preferred but not required).

Required Qualifications

• Bachelor’s or Master’s degree in Bioinformatics, Computer Science, Life Sciences, or related field.
• 10+ years of QA experience, with 2+ years specifically in biomarker or bioinformatics QA.
• Strong knowledge of clinical trial data, biomarker datasets, and healthcare data standards (e.g., HL7, FHIR).
• Experience with manual testing, SQL/PLSQL scripting, front-end QA, and API validation.
• Familiarity with test automation frameworks and CI/CD practices (Selenium, JUnit, etc. is a plus).
• Solid understanding of data integrity, ACID principles, and regulatory compliance (GxP, HIPAA).
• Strong analytical, problem-solving, and communication skills.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

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