Auf einen Blick
- Aufgaben: Lead the strategy for digital biomarkers and provide technical guidance in clinical trials.
- Arbeitgeber: Join Sanofi, a leader in innovative therapeutics with a commitment to diversity and patient impact.
- Mitarbeitervorteile: Enjoy a hybrid work model, comprehensive health benefits, and generous parental leave.
- Warum dieser Job: Be part of a team that drives scientific progress and makes a real difference in patients' lives.
- Gewünschte Qualifikationen: Requires 7+ years in clinical development and expertise in psychometric analysis and digital endpoints.
- Andere Informationen: Fluency in English and advanced R programming skills are essential; PhD preferred.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
About the jobOur Team:At Sanofi, we have a shared commitment to bring innovation to a broad and diverse portfolio of therapeutics supported by our Biostatistics and Programming department.You will be part of a group that fosters people development, offering compelling career opportunities that value diversity of thought and abilities, to optimize overall success and have a meaningful impact on patients’ lives.Main responsibilities:As a Data and Statistical Strategy Leader of Digital Biomarkers in Digital Health (Director) in our Statistical Innovation Hub, you will serve as the expert lead statistician in digital biomarkers for defining novel digital endpoints or re-engineering existing endpoints from digital Clinical Outcome Assessments (COAs). You will act as a go-to person in digital biomarkers and provide technical guidance to other project/study statisticians, stakeholders and junior staff.Lead the provision of technical expertise in psychometric analysis of clinical validity (reliability and responsiveness) in digital COAs for establishing novel digital endpoints or re-engineering endpoints from existing ones and provide expertise in analytic approaches to large amounts of (intensive longitudinal) data created by digital endpoints.Closely work with statistical project leaders across projects and guide a fit for purpose strategy for analysis of relevant endpoints, collaborating with other statistical methodology experts as necessary.Provide profound insights into the other steps (content validity, analytic validity and usability) to define novel digital endpoints. Ensure productive collaboration with other functions (e.g., Patient Centered Outcomes, AI/digital, etc), promoting teamwork, operational efficiency, and innovation. Represent Statistics in internal scientific or technology working groups or cross functional initiatives.Guide execution of the related psychometric analyses; oversee interpretation and discussion of results supporting the clinical study report, regulatory discussions and/or publications. Provide technical guidance to junior staff or other project statisticians or stakeholders. Participate in professional activities, including serving as a contributing member or leader of working group(s)/committees/professional organizations, or serving as a scientific journal reviewer.About you Experience:At least 7 (9 for MS) years of clinical development experience in pharma/biotech industry and should have at least 4 years of leading experience in development of digital biomarkers (establishing a novel digital biomarker or digital COA or ePRO in clinical trials)Expert knowledge of psychometric analysis methods and multi-factorial analysis and excellent knowledge of analytic approaches to large amounts of (intensive longitudinal) data created by digital endpoints.Excellent insight to other steps in defining novel digital endpoints such as content validity, analytic validity and usability, in addition to the expert knowledge in psychometric analysis.Excellent understanding of clinical development. Broad knowledge and great understanding of advanced statistical concepts and techniques, with the capability to quickly acquire knowledge in new statistical frontiers.Demonstrated leadership and excellent interpersonal/communication skill as well as in project management.Ability to represent Sanofi in cross-company activities such a consortiums or professional associations.Soft and technical skills:Advanced R programming skills and good understanding of SAS programming. Knowledge in other computer languages is a plus.Education:PhD/MS in statistics or related discipline; PhD is preferredLanguages:Fluency in EnglishWhy choose us?Bring the miracles of science to life alongside a supportive, future-focused team.Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.Pursue Progress. Discover Extraordinary.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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!Hybrid Position: #LI-Hybrid_______________________________________________________________________Pursue progress, discover extraordinaryBetter 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.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.Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!SummaryLocation: Frankfurt am Main; BerlinType: Full time
R2739247 Director, Data and Statistical Strategy Leader of Digital Biomarkers in Digital Health (all genders) - Statistical Innovation Hub Arbeitgeber: Sanofi

Kontaktperson:
Sanofi HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: R2739247 Director, Data and Statistical Strategy Leader of Digital Biomarkers in Digital Health (all genders) - Statistical Innovation Hub
✨Tip Number 1
Make sure to showcase your experience with digital biomarkers and psychometric analysis in your conversations. Highlight specific projects where you've successfully established novel digital endpoints or re-engineered existing ones.
✨Tip Number 2
Network with professionals in the field of digital health and biostatistics. Attend relevant conferences or webinars to connect with potential colleagues at Sanofi and demonstrate your commitment to staying updated on industry trends.
✨Tip Number 3
Prepare to discuss your leadership experiences in project management. Be ready to share examples of how you've guided teams through complex statistical analyses and fostered collaboration across different functions.
✨Tip Number 4
Familiarize yourself with Sanofi's values and recent initiatives in digital health. This will help you align your responses during interviews and show that you're genuinely interested in contributing to their mission.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: R2739247 Director, Data and Statistical Strategy Leader of Digital Biomarkers in Digital Health (all genders) - Statistical Innovation Hub
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Director, Data and Statistical Strategy Leader position. Understand the key responsibilities and required skills, especially in digital biomarkers and psychometric analysis.
Tailor Your CV: Customize your CV to highlight relevant experience in clinical development, particularly your leadership roles in developing digital biomarkers. Emphasize your expertise in psychometric analysis methods and any advanced statistical techniques you've utilized.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific requirements of the role. Mention your experience with digital endpoints and your ability to collaborate across functions, showcasing your leadership and communication skills.
Highlight Your Technical Skills: Make sure to include your advanced R programming skills and any knowledge of SAS or other programming languages in your application. This technical expertise is crucial for the role and should be clearly presented.
Wie du dich auf ein Vorstellungsgespräch bei Sanofi vorbereitest
✨Showcase Your Expertise in Digital Biomarkers
Be prepared to discuss your experience with digital biomarkers and how you've contributed to their development. Highlight specific projects where you established novel digital endpoints or re-engineered existing ones, as this will demonstrate your technical expertise.
✨Demonstrate Leadership and Collaboration Skills
Since the role involves guiding junior staff and collaborating with various stakeholders, share examples of how you've successfully led teams or projects. Emphasize your ability to foster teamwork and operational efficiency in cross-functional settings.
✨Prepare for Psychometric Analysis Discussions
Given the focus on psychometric analysis, be ready to explain your understanding of methods related to clinical validity, reliability, and responsiveness. Discuss any relevant experiences where you applied these concepts in real-world scenarios.
✨Familiarize Yourself with Advanced Statistical Concepts
Brush up on advanced statistical techniques and analytic approaches, especially those related to large datasets. Be prepared to discuss how you've utilized R and SAS programming in your previous roles, as this technical knowledge is crucial for the position.