• Reporting to the Vice President of Product • Leads qualitative UX research (discovery interviews, concept testing, usability studies, synthesis) • Translates qualitative insights into hypotheses and partners with Product Data Analysts / Scientists and Business Analysts to validate findings with quantitative data • Leverages AI tools to accelerate research synthesis, insight generation, and UX writing workflows • Develops and maintains UX writing standards, voice and tone guidelines, and content patterns • Partners with Product Managers and Designers to influence product strategy and roadmap decisions • Mentors team members on research, content, and responsible AI usage best practices

Role Description We’re looking for a Clinical Data specialist to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care? In this role, you will be responsible for working with the clinical and product teams to execute on and further develop our end-to-end data extraction processes. This includes: - Extracting complex structured and unstructured clinical data from electronic medical records, ensuring high quality data that benefit cancer patients and researchers. - Developing and updating data curation instruction documents as well as data capture forms for multiple solid tumour types and hematologic malignancies. - Helping to develop and refine ML and LLM enabled curation methods. - Supporting data quality and control activities, including maintenance and improvement of existing QA processes. - Planning feasibility and initial testing of novel data points or new data extraction approaches. - Contributing to product development by synthesizing data and feedback to provide insights about the abstraction process. - Supporting quality assurance on dataset deliverables and data analyses. - Collaborating with a cross-functional team including technical, partnerships, and product managers, product designers, data privacy experts, research scientists, and clinical professionals. - Weighing tradeoffs and clearly communicating data-driven recommendations to influence cross-functional stakeholders. - Providing clinical expertise to support the processing and harmonisation of structured data points. Qualifications - Certified as a study nurse, physician, or other form clinical professional, or have a comparable professional education. - Bachelor's or master's degree in health sciences, biology, molecular medicine, or a related applied science. - Education as a nurse with additional training or several years of clinical work in oncology/haematology. - Familiarity with all aspects of how cancer is managed, from diagnosis until cessation of treatment. - Fluent in cancer terminology as well as in general German medical terminology. - Experience with the presentation of clinical data (e.g. ICD codes, cancer registry data) and treatment pathways in oncology care. - Familiarity with electronic health record systems, electronic data capture forms, or other data management systems. - Strong communication skills, including the ability to communicate clinical issues effectively with a diverse team. - Exceptional attention to detail and pragmatic in the search for solutions. - Enjoy working in a fast-paced, cross-functional and international environment. - Fluent in German (C-level, mandatory requirement) and very good English proficiencies (minimum requirement B2-level). Requirements - Strong interest in Large Language Models (LLMs) and experience in applying them to data processing (optional). Benefits - Our people are at the center of everything we do. - We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity.

• Mine Unstructured Data: Use NLP (ClinicalBERT / BioBERT) to extract anxiety markers and procedural indicators from thousands of anonymized clinical notes. • Feature Engineering: Clean and join complex longitudinal datasets including medication dosages (Infusion tables), vitals (Flowsheets), and recovery timestamps. • Build the Model: Develop and validate an XGBoost classification model to output an "XR Suitability Score" with a target AUC-ROC of >0.75.

Title: E-commerce Data Scientist, Product Analytics Location: New York, New York Job Description: StatusFull-Time ABOUT THE ROLE Peloton is evolving from a pioneer in connected fitness into a comprehensive wellness ecosystem, powered by innovation and data. Our mission remains steadfast: to empower our global community to lead healthier, happier, and fitter lives. As we redefine the future of health, we are looking for leaders who are eager to build the frameworks that will support this next generation of world-class member experiences. As a user- centered, outcomes-driven Product organization, Peloton relies on the Product Analytics team to deliver strategic insights, reporting capabilities and A/B testing to inform our direction & product roadmap. The analyst will champion the wide range of product analytics designed to profitably grow Peloton’s member engagement and spearhead the analytical initiatives designed to optimize the product strategy. As we redefine the future of health, we are looking for a Data Scientist to join our Product Analytics team, specifically focusing on our E-commerce and App platforms. This role is ideal for a curious, detail-oriented individual who thrives at turning complex data into clear, strategic recommendations to improve user experience, conversion rates, and overall digital performance. This role is ideal for someone who thrives at turning complex data into clear, strategic recommendations—and who’s passionate about using those insights to shape product strategy and drive business outcomes. In this role, you will work cross-functionally with Product, Engineering, and Design to drive innovation and optimize how our members engage with our digital ecosystem. YOUR DAILY IMPACT AT PELOTON - Conduct deep-dive analyses of web and behavioral data to support initiatives across the e-commerce funnel, including traffic, engagement, and conversion - Own analytics for core engagement features - from defining success metrics to surfacing insights that drive the product roadmap - Partner with PMs to design, launch, and measure A/B and multivariate tests with statistical rigor - Translate member behavior into compelling narratives and visualizations that influence senior stakeholders and guide strategic direction - Build and maintain dashboards to monitor KPIs and identify trends across the e-commerce and app landscapes - Surface data quality issues and advocate for clean, consistent data instrumentation and experimentation best practices YOU BRING TO PELOTON - 3–5 years of analytics experience, ideally in a tech, digital product, or e-commerce environment - Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Economics, Computer Science) - Fluency in SQL and comfort with Python or R for data exploration and analysis - Hands-on experience with product analytics tools such as Amplitude, Segment, or Google Analytics - Experienced with visualization tools like Looker or Tableau - Strong understanding of A/B testing principles, statistical significance, and experiment evaluation - Proven ability to influence strategy through data storytelling - Comfort working autonomously and collaboratively in a fast-paced, agile environment - A user-first mindset and a passion for turning insights into business outcomes - A forward-thinking approach to leveraging the latest AI tech-stack, curious to learn and integrate AI in their workflows #LI-DD1 #LI-Hybrid The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: - Medical, dental and vision insurance - Generous paid time off policy - Short-term and long-term disability - Access to mental health services - 401k, tuition reimbursement and student loan paydown plans - Employee Stock Purchase Plan - Fertility and adoption support and up to 18 weeks of paid parental leave - Child care and family care discounts - Free access to Peloton Digital App and apparel and product discounts - Commuter benefits and Citi Bike Discount - Pet insurance and so much more! Base Salary Range $140,400—$166,100 USD ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.