Remote Quality Assurance Manager - Precision Medicine - Dallas, Tx

Overview Texas Oncology is looking for a Remote Quality Assurance Manager to join our Precision Medicine team! This 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 patients 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 Assurance 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.Responsibilities Data Quality & ValidationPerform 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 ReviewValidate 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 ImprovementDevelop 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.Qualifications The ideal candidate will have the following background and experience:Required QualificationsBachelor's Degree, Master's preferredMinimum 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 selectionVariant classification and molecular reporting terminologyReal‐world oncology datasetsIntermediate to advanced SQL skills:Ability to write, edit, troubleshoot, and independently export queriesExperience working with large relational databasesComfortable validating joins, aggregations, and cohort logicDemonstrated ability to work independently with minimal supervision.Preferred QualificationsExperience with molecular data vendors (e.g., Foundation Medicine, Tempus, Caris, NeoGenomics)Familiarity with variant nomenclature normalizationExperience with large‐scale oncology EMR datasetsExposure to Python or data visualization toolsPrior experience in a start‐up or fast‐paced environmentCore CompetenciesHigh attention to detailAnalytical and critical thinking mindsetComfortable challenging assumptions in datasetsSelf‐directed and solution‐orientedStrong written documentation skillsAbility to prioritize and manage multiple concurrent QA projectsPhysical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform the essential functions. Requires sitting for long periods of time. Some bending and stretching are required. Adequate finger dexterity and feeling to perform keyboarding and substantial repetitive motions involving the wrists, hands and/or fingers. Requires vision and hearing corrected to normal range. Must be able to view computer screens and printed material accurately. Occasionally lifts and carries items weighing up to 40 lbs.Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform essential functions. The work environment is typical of an office setting.#J-18808-Ljbffr