Remote Quality Assurance Manager - Precision Medicine - Dallas, Tx

The US Oncology Network•Dallas, TX

7d•Remote

About The Position

Texas Oncology is looking for a Remote Quality Assurance Manager to join our Precision Medicine team! This is position is based out of the corporate office in Dallas, Texas. Texas Oncology is the largest community oncology provider in the country and has approximately 600+ providers in 300+ sites across Texas and southeastern Oklahoma. Our founders pioneered community-based cancer care because they believed in making the best available cancer care accessible to all communities, allowing people to fight cancer at home with the critical support of family and friends nearby. Our mission is still the same today—at Texas Oncology, we use leading-edge technology and research to deliver high-quality, high-touch, evidence-based cancer care to help our patients achieve “More breakthroughs. More victories.” ® in their fight against cancer. Today, Texas Oncology treats half of all Texans diagnosed with cancer on an annual basis. Why work for us? Come join our team that is responsible for helping lead Texas Oncology in treating more patient diagnosed with cancer than any other provider in Texas. We offer our employees a competitive benefits package that includes Medical, Dental, Vision, Life Insurance, Short-term and Long-term disability coverage, a generous PTO program, a 401k plan that comes with a company match, a Wellness program that rewards you practicing a healthy lifestyle, and lots of other great perks such as Tuition Reimbursement, an Employee Assistance program and discounts on some of your favorite retailers. What does the Quality Assurance Manager do? The Quality Assurance Manager ensures the integrity, accuracy, and reproducibility of our clinical and genomic datasets. This role works independently, navigating complex oncology data, and proactively identifies and resolves discrepancies without requiring step-by-step direction. The Quality Assuracne Manager will partner closely with data engineering, bioinformatics, clinical research, and analytics teams to validate datasets, queries, and downstream outputs used in research and client-facing deliverables. Supports and adheres to US Oncology Compliance Program, to include the Code of Ethics Business Standards.

Requirements

Bachelor’s Degree, Master's preferred
Minimum three (3) years of experience in oncology data, clinical research, or molecular diagnostics.
Strong understanding of:
Solid tumor oncology (e.g., NSCLC, CRC, breast, pancreatic, HNSCC)
Biomarker-driven therapy selection
Variant classification and molecular reporting terminology
Real-world oncology datasets
Intermediate to advanced SQL skills:
Ability to write, edit, troubleshoot, and independently export queries
Experience working with large relational databases
Comfortable validating joins, aggregations, and cohort logic
Demonstrated ability to work independently with minimal supervision.

Nice To Haves

Experience with molecular data vendors (e.g., Foundation Medicine, Tempus, Caris, NeoGenomics)
Familiarity with variant nomenclature normalization
Experience with large-scale oncology EMR datasets
Exposure to Python or data visualization tools
Prior experience in a start-up or fast-paced environment
High attention to detail
Analytical and critical thinking mindset
Comfortable challenging assumptions in datasets
Self-directed and solution-oriented
Strong written documentation skills
Ability to prioritize and manage multiple concurrent QA projects

Responsibilities

Data Quality & Validation
Perform structured QA review of clinical, molecular, and treatment datasets.
Validate SQL queries used for cohort construction, biomarker identification, and treatment classification.
Independently edit, optimize, and export SQL queries as needed.
Identify data inconsistencies, missingness patterns, and normalization gaps across EMR and genomic sources (e.g., molecular reports, pathology data).
Perform reconciliation between source documents and curated datasets when required.
Oncology-Specific Review
Validate biomarker classifications (e.g., driver mutations, variant types, pathogenicity status).
Review treatment regimens and confirm correct classification (chemotherapy, immunotherapy, targeted therapy, supportive care).
Ensure staging, line of therapy, and metastatic designations are accurately derived.
Apply NCCN-aligned oncology logic to validate cohort definitions.
Process Improvement
Develop and maintain QA documentation, validation frameworks, and audit trails.
Recommend process improvements to enhance data normalization and reproducibility.
Proactively investigate unexpected analytic outputs and resolve root causes.
Contribute to SOP development for data governance and quality standards.