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 H&E 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 R&D 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 modeling. ● AI-Enhanced Applications: Integrate practical adoption of Natera tools including: LLMs and agentic tools into your own daily workflow. Your focus will be on using these technologies to improve the speed and accuracy of code development, documentation, and review. ● Scientific Leadership & Influence: Own the communication of high impact/value results to internal stakeholders and external partners. You will be responsible for the scientific integrity of all deliverables, including manuscripts, conference abstracts, and technical reports where appropriate. ● Cross-Functional Collaboration: Collaborate with internal product, oncology, and clinical abstraction, medical, scientific, business development and consortia teams to continually enhance Natera data quality, products, and analytical best practices. ● Product / Work-Flow Enhancement: Proactively identify gaps in current products and ensure that customer feedback is collected and integrated into the Natera product road map. ● Oncology & RWE Domain Expertise: Maintain deep expertise in oncology clinical guidelines (e.g., NCCN) and emerging RWE methodologies. You will be responsible for translating these external shifts into internal strategy, ensuring that our research designs and data modeling stay ahead of the evolving oncology landscape and reflect the most current standard of care. Qualifications: ● Education: Advanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either: o Master’s degree, or PhD and 4+ years of additional work experience ● Technical & Statistical Mastery: o Expert-level proficiency in observational real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis). o Track record of leading RWD analytical studies from initial scoping through to publication or dissemination. o Proficient in using R and SQL, especially statistical tools and packages. o Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis, code review, or scientific documentation workflows. o Adherence to good software engineering practices (version control, modular code, documentation). o Experience with code review. ● Communication & Client Ownership: Experience as a primary technical point of communication for biopharma clients, with a proven ability to collaborate on study design and translate highly technical findings into strategic recommendations for senior-level stakeholders. ● Leadership & Soft Skills: Strong project leadership and the ability to manage multiple high-priority workstreams simultaneously in a fast-paced environment. ● Soft Skills: Strong project leadership with excellent written and verbal communication skills. Ability to thrive in a fast-paced, dynamic environment working with multi-disciplinary scientists on complex problems. ● Solution Oriented: Ability to see through initial research questions to the high impact / valuable insights customers require (need vs. want). Understand the question behind the question as well as identify solutions to generate meaningful insights when the data does not exist. Preferred Skillsets: ● Experience working with Pharma or drug development. ● Experience in clinical trial design in the clinical development space. ● Extensive proficiency with EMR raw and curated data, claims, and registry data. ● Practical experience building, fine-tuning, or configuring LLM-based tools and agentic workflows specifically for scientific discovery. ● High-level familiarity with NCCN guidelines and the ability to interpret real-world outcomes within the context of the current oncology standard of care. ● Significant experience analyzing multi-modal data including biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets. ● Proficiency in managing large-scale data projects within cloud environments such as AWS or Google Cloud Platform (GCP). Travel: As necessary (up to 20%) This is a remote position. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $143,100—$178,900 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: - BBB announcement on job scams - FBI Cyber Crime resource page

• Conceptualize and develop custom AI-driven data pipelines which address client problems • Maximize efficiency and maintain high standards of quality • Design and develop statistical analyses • Visualize the output of statistical models • Present and interpret the output of predictive models • Perform quality assurance tasks on model code and output • Develop solutions to a variety of client problems using both generative AI non-generative AI models • Identify important and interesting questions about large datasets • Translate those questions into concrete analytical tasks • Build quantitative models with data and communicate the results of those models to stakeholders • Help conceptualize and perform data analyses to summarize trends • Develop and execute database queries that in turn support developing/formatting modeling inputs

• Develop, implement, manage, and deploy in-depth analyses for payment accuracy, anomaly detection, and Fraud, Waste, and Abuse (FWA) • Build concepts as algorithms to identify claims for pre- or post-pay intervention based on probability of fraud, waste, and abuse • Analyze and quantify claim payment issues and provide recommendations to mitigate risks • Identify trends and patterns using processes, tools, reports, and databases • Conduct outcome analyses to determine impact and effectiveness of initiatives • Collaborate on the examination and explanation of complex data relationships • Monitor and provide explanation of anomalies related to trends associated with potential Fraud Waste and Abuse • Collaborate with Legal Department to support proceedings • Develop hypothesis tests and extrapolations on statistically valid samples • Communicate results and ideas to key stakeholders • Prepare code for operationalization of end-to-end model pipeline

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Work with a cross-functional team of data scientist, engineers, product and clinicians to build solutions using AI that help patient in their health journey. Required Qualifications 3+ years working as a data scientist. Hands on experience building ML models. Python and SQL hands on experience required. Preferred Qualifications Experience building prompts and agents to solve problems. Good understanding of LLM and the AI space. Education Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred . Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $101,970.00 - $203,940.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/20/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.