[Innovative Medicine] Data Scientist, Evidence Generation, Medical Affairs Div.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Medical Affairs Group Job Sub Function: Medical Affairs Job Category: Scientific/Technology All Job Posting Locations: Chiyoda, Tokyo, Japan Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Data Scientist, Evidence Generation Position S ummary : The Data Scientist will serve as the Data Science and Biostatistics lead for Real-World Evidence studies conducted by Medical Affairs, including prospective observational studies and database studies. The role is responsible for providing scientific and analytical leadership throughout the evidence generation lifecycle, from study planning and execution through data analysis, publication, and scientific communication. Working closely with Therapeutic Area (TA) teams and other cross-functional partners, the Data Scientist will contribute to evidence generation activities aligned with TA strategy and Integrated Evidence Generation Plan (IEGP) . The role will also support the advancement of data science and biostatistics capabilities, processes, and innovative approaches within Medical Affairs. Key Responsibilities: Serve as the Data Science and Biostatistics lead for assigned Medical Affairs studies, ensuring alignment with TA strategy and IEGP . Provide scientific and analytical input into study concepts, protocols, data collection strategies, and analysis plans. Develop or oversee the development of Statistical Analysis Plans (SAP) aligned with study protocols and research objectives . Review statistical programming and the delivery of high-quality tables, figures, listings, and analytical outputs in a timely manner . Work closely with external service providers to ensure quality and timely delivery of statistical and data science activities. Contribute data science, biostatistics, and epidemiological perspectives to the development of IEGP, Key Research Questions, and new study proposals. Lead or provide expert input into the interpretation of study results and communication to internal and external stakeholders. Contribute to manuscripts, abstracts, posters, oral presentations, and other scientific communications, fulfilling applicable author or contributor responsibilities. Lead process improvement and capability-building initiatives related to data science, biostatistics, and evidence generation. Promote fit-for-purpose analytical approaches, innovative methodologies, and the effective use of relevant data and digital technologies. Proactively identify opportunities and challenges in evidence generation and propose new data science, biostatistics, or process improvement initiatives . R equired Q ualifications and Experience : Master’s degree in a relevant field such as biostatistics , epidemiology, data science , or me dicine . 4 years of relevant experience or demonstrated ability to independently lead evidence generation studies as a data scientist, biostatistician, or comparable quantitative professional in the pharmaceutical industry, healthcare sector, academia, CRO , or related environment. Strong knowledge of data science and biostatistical principles and methods. Experience developing or reviewing S AP and statistical outputs. Hands-on proficiency in statistical programming and data visualization using relevant languages and analytical software, such as SAS, R, SQL, or equivalent tools, combined with the ability to independently develop and execute robust statistical analysis plans. Working knowledge of epidemiology , study design, and clinical research princip