RWE Project Lead Analytics

<h1><b>Job title: Project Lead – RWE Data Analytics</b></h1><p></p><p><i>Location: Barcelona</i></p><p><i>% of travel expected: Travel required as per business need</i></p><p><i>Job type: Permanent and Full time</i></p><p></p><h2><b>About the job</b></h2><p></p><h3><b>Our Team:</b></h3><p></p><p>Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&amp;D, Data &amp; Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally.</p><p></p><h3><b>Main responsibilities:</b></h3><p></p><p>Contribute to the growth of General Medicine’s real-world evidence capability, including real world evidence (RWE) to support studies and projects across the franchises motivated by business needs; work closely with the Medical, Market Access, HEOR, and Commercial team to maximize the value of our portfolio of priority assets worldwide; unique opportunity for a data scientist and/or epidemiologist to join a motivated and experienced research team in an innovative working environment to address key tasks in health and social care surrounding CV disease and diabetes; work collaboratively to create high quality innovative analytical products, can benefit from a wealth of in-house databases, study platforms, and analytic tools, and from external partnerships with academic and governmental institutions.</p><ul><li><b>People: </b></li><li>(1) Work together with RWE team to support projects across the franchises motivated by business needs</li><li>(2) Work closely with the Medical, Market Access, HEOR, and Commercial team to maximize the value of our portfolio of priority assets worldwide</li><li>(3) Work collaboratively within Medical and across functions, with clients and external collaborators</li><li>(4) Functionally reports to the Head of the Real-World Evidence team</li><li><b>Process:</b></li><li>(1) Work together and lead research analytical projects, including project conceptualization and design</li><li>(2) Lead analysis of healthcare data, including clinical trial datasets, transactional claims, and electronic health records, using established and novel statistical and analytical techniques</li><li>(3) Generate rapid response analyses for cross-functional stakeholders</li><li>(4) Lead or contribute to drafting and reviewing technical and study reports, manuscripts for publishing in high-impact peer-reviewed journals, and abstracts and presentations for international conferences</li><li>(5) Actively manage project activity and timelines</li><li>(6) Internally advise your colleagues in the Health Economics, Commercial, and Medical franchises on your areas of technical and research expertise as directed by your supervisor</li><li>(7) Communicate complex concepts and interpretation of analysis and findings to different audiences, including health economists, clinicians, policy makers, and health systems</li><li>(8) Represent the team at external meetings</li><li>(9) Validate and secure access to third-party healthcare data-sets</li><li><b>Customer:</b></li><li>(1) Deliver research and contributes to the RWE strategic direction for General Medicines</li></ul><p></p><h2><b>About you</b></h2><h2></h2><ul><li><b>Experience: </b>7 - 10 years in public health, biotechnology and/or pharmaceutical industry; Strong healthcare data analysis expertise, expertise in data analysis techniques, and good understanding of healthcare datasets (EHR, Claims, RCTs), and data structures; Expertise in use of statistical methods to investigate real-world problems (e.g., data modelling, time to event analysis); Advanced experience in preparing, analysing, and managing large healthcare datasets in interventional and/or non-interventional studies; Experienced in interpreting and presenting complex analyses and findings; Experienced in interpreting and presenting complex analyses and findings</li><li><b>Soft skills: </b>Integrity; Analytic excellence; Excellent written and oral communication skills; ability to communicate complex topics and data results in a concise and precise manner; High level of self-awareness; Ability to cooperate cross-functionally; Problem-solving and creative thinking skills; Enjoys working independently, flexibly and as part of a team on multiple projects; Enthusiastic and professional approach to working with colleagues, clients, and external collaborators</li><li><b>Technical skills</b>: R, Python, SQL, advanced Microsoft Excel using Visual Basic for Application, SAS Education: Masters or PhD in a quantitative subject (e.g., computer science, data science, statistics, mathematics, biostatistics, biomedical engineering, epidemiology) or equivalent combination of education, training, and experience</li><li><b>Languages:</b> Excellent knowledge of English language (spoken and written)</li></ul><p></p><p><span>#LI-Hybrid #BarcelonaHub #SanofiHubs</span></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><h1>Pursue <i>progress</i>, discover <i>extraordinary</i></h1><p>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.</p><p></p><p>At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.</p><p></p><p>Watch our <a href="https://www.youtube.com/watch?v&#61;SkpDBZ-CJKw&amp;t&#61;67s" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" target="_blank">sanofi.com</a>!</p>