Digital Biomarker Innovation Technical Lead
- Combine your technical expertise with cross-functional collaboration skills to lead study design, execution, data analysis, and insight generation
- Manage end-to-end development of proof-of-concept studies that test devices, explore new measures, and generate novel datasets for analysis
- Work with the broader DBM team and cross- functional experts (e.g., biostatistics, data science) to translate research questions into practical, "minimum viable product" experiments that inform technology selection and implementation
- Help establish the DBM Innovation Lab (“iLab”) as an efficient, high-performing function that accelerates the adoption of digital technologies in clinical trials
- E ngage with clinical and trial operations teams to understand unmet needs, workflows and pain points , gather ing feedback to improve DBM usability and adoption
- Develop project plans and tracking systems, coordinating cross-functional working groups to deliver successful technology evaluations
- Create practical approaches for testing research questions in resource-efficient settings, with key emphasis on technical feasibility and data quality
- Support protocol development with emphasis on technical specifications, data collection procedures, and quality control measures
- Partner with data scientists and biostatisticians to design appropriate data management workflows and analysis approaches for digital biomarker evaluation
- Build direct relationships with technology vendors to source, configure, and troubleshoot devices required for studies
- Serve as hands-on technical lead for study implementation, monitoring performance metrics and implementing technical improvements
- Present findings to internal teams with clear explanations of technical concepts, data quality, and operational considerations
- Contribute to the DBM iLab roadmap by assessing technical feasibility, integration requirements, and implementation challenges
- Support user testing initiatives by implementing technical solutions that capture user experience data effectively
- Manage the DBM solution portfolio and loaner device program / relationships
- Maintain cutting-edge knowledge of the digital biomarker landscape through technical forums, product demonstrations, and industry conferences
- Build knowledge of data structures, APIs, and technical solutions that enable effective integration of digital measures
- Develop processes, operating practices and infrastructure to accelerate and sustain DBM iLab efforts. Support/create educational webinars and presentations to help establish a knowledge base of digital health technologies and digital endpoints within Sanofi
- Establish connections within the digital health technical community through participation in standards development, technical working groups, and industry forums
- Master’s degree or equivalent experience in biomedical engineering, data science , computer science or healthcare-relevant field; with 5-7 years of relevant experience in pharma or medical device industry
- Familiarity with digital technology and health care innovation
- Demonstrated ability to collaborate with technical teams to deliver scalable, user-centered solutions ; as well as high-quality qualitative and quantitative analysis
- Able to identify data or analytical issues, and provide solutions by either applying own skills and knowledge or seeking help from others
- Willing to learn new subject matter and technology, open-minded and adapting for improvement, enthusiastic about innovation and a self-starter to make possibilities real
- Proven ability to collaborate and influence across functions in a highly matrixed organization
- Strong ability to communicate (verbal, written, slides) clearly across technical and non-technical teams
- Self-motivated, organized, can-do attitude, collaborative, open-minded, excellent time-management
- High standards for user experience, not limited to evaluation of DBMs in the participant and trial context, but also for internal studies and collaborative workshops
- Familiarity with clinical trial operation s and / or digital transformation in R&D
- Basic technical fluency in data systems, APIs, or machine learning concepts
- Basic fluency in analytics / statistical methods and software including SQL, Python, R, SAS, etc.
- Experience conducting user research or usability testing in a regulated or complex domain
- Product managemen t experience
- Agile or continuous improvement experience
- MBA or consulting experience
- 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.
#LI-SA #LI-Onsite
#vhd All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
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