Sr. Manager, Biopharma Real World Data Analyst

Natera
US RemotePosted 26 March 2026

Job Description

Sr. Manager, Real World Data Analyst Natera is the global leader in the development of blood-based diagnostics and has built considerable momentum in the utilization of our Signatera (tumor informed) and Latitude (tumor naïve) assays. 2025 reflected a significant increase in the utilization of Signatera with >700k samples processed across our labs. Our WGS/WES repertoire and the integration of Foresight’s phased variants technique and expertise in Lymphomas have enabled Natera to offer the most experienced, published, and highest ordered MRD test available with global reach. In addition, our best-in-class MRD assays combined with ultra-sensitivity has positioned Natera to lead this area of diagnostics. Our business model has adapted and expanded to offer our customers real world data and insights to support their research objectives. We believe that our unique, multi-time point molecular data, matched with curated clinical data from the EHR and matched HE digital pathology provides our customers with the most biologically informed dataset for Oncology. These insights are ideally suited to support translational and clinical development teams with the evidence necessary to improve trial design, select the right patients and understand the correlation across treatments, outcomes and molecular signatures across several data modalities (MRD / ctDNA, WGS, WES WTS, Claims, EMR curated clinical data and digpath). In addition, our multi-modal datasets are uniquely designed to understand response, quantify resistance and build models defining recurrence and the time horizons when high risk patients may relapse/recur. Natera’s Mission for Life Science Companies : Integrate and utilize Natera’s portfolio of products, services and solutions to transform the RD methodology and improve the probability of success across all of pharma’s primary verticals (Discovery, Development Commercial) while bringing new products to market faster while compressing costs. Summary Of The Role: The Real-World Data Analytics (RWDA) group within the Biopharma team at Natera works with major Biopharmaceutical partners to provide best-in-class data, analysis, and methodological guidance for Natera’s real-world data offering. We are seeking a highly motivated and solutions-oriented RWDA / Data Scientist with experience and interest in oncology, molecular analysis and epidemiological study design to join our team. This role requires the individual engage customers to generate new hypotheses and research questions, iterate and interrogate existing hypotheses and research questions, design research projects, conduct and iterate on the analysis as well as derive insights from complex real-world multi-modal, multi-time point molecular and clinical data. The individual will also implement advanced statistical methods, and utilize internal analytical tools, interfaces as well as AI tools to generate, visualize and enhance insights. Responsibilities: ● Team Reporting: data analysts will report directly to the Sr. Manager. This role will be responsible for identifying, hiring, mentoring, training and supervising the team across a number of customers. ● Biopharma Partnerships: design, prepare data and conduct analysis and delivery of RWE analyses for biopharma clients. You will be responsible for translating complex clinical development and translational research questions into actionable research plans and insights utilizing Natera data for trial design, outcomes research and other bespoke projects. ● Multi-modal Real World Data Expertise: generate insights from complex real-world endpoints using extensive coding, demonstrating deep comprehension of Natera clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data. ● Methodological Standards Mentorship: Build technical standards by implementing advanced methods in survival analysis, machine learning and predictive mode ... (truncated, view full listing at source)
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