Sr. Principal Data Scientist

Sr. Principal Data Scientist


Sr. Principal Data Scientist

Details of the offer

Senior Principal Data Scientist
Senior Principal Data Scientist will help transform evidence-based pharmaceutical product development with Advanced Analytics in the Real-World Evidence and Clinical Outcomes department at Sanofi. He/ She will work closely with other disciplines across Sanofi including Biostatistics, Information Technology Systems and other Data Science partners to drive the use of novel analytics and data types to generate patient-centered evidence with impact across the Sanofi pipeline and business.
Examples of Advanced Analytics activities:
Machine/Deep Learning to elucidate disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needs.
Create a framework for generating re-usable models and insights across big-data (e.g. EHRs, claims) and rich small data sets (e.g. clinical trials, imaging).
Generating insights by merging diverse data streams e.g. health, surveillance, trend data, sensor, imaging, ...
Adoption of emerging technology into an analytical framework: distributed analytics, graph databases

Proactively engage RWE & CO colleagues, Sanofi technical and analytical partners, and Information Technology Services to identify, scope, and implement analytics approaches and solutions impacting a broad range of activities.
Provide expertise by advising on team members or executing advanced analytics for solving problems across R&D, Medical Affairs, HEVA and Market Access Strategies and Plans.

Expand the reach and help drive the development of a high-functioning organization through the development and deployment of cutting-edge analytics and computational techniques applied to a wide range of data including structured and unstructured healthcare data sources, pre-clinical, clinical trial and complementary real-world information streams.
Provide operational support on multiple projects with a core role in providing expertise in machine learning, statistics, mathematics, modelling, simulation, text-mining/NLP, data-mining on real world data across Sanofi.
Lead development and adoption of new computational and statistical methodologies for big data.
Maintain internal and external profile through contributions to congresses, publications.

Plan and deploy methodological standards, standardized processes, demos, and POCs for the company's highest priority business needs.
Help drive the vision and further the development of Advanced Analytics capabilities in RWE & CO by participating in the broader Statistical, Machine Learning and Data Science communities
Contribute to the design, development, and implementation of Sanofi's data science architecture and ecosystem to guide decision-making and building foundational capabilities.

Knowledge, Skills & Competencies / Language
Proficiency in at least two or more technical or analytical languages (R, Python, etc..) and a willingness to embrace new coding approaches.
Experience with advanced ML techniques - neural networks/deep learning, reinforcement learning, SVM, PCA, etc.
An ability to interact with a variety of large-scale data structures e.g. HDFS, SQL, noSQL
Experience working across multiple environments (e.g. AWS, GCP, Linux) for optimizing compute and big data handling requirements.
Ability to prototype analyses and algorithms in high-level languages embracing reproducible and collaborative technology platforms (e.g. GitHub, containers, Jupyter notebooks)
Exposure to NLP and dataviz capabilities preferred.
Strong oral and written communication skills
A demonstrated ability to work and collaborate in a team environment

PhD or ScD in quantitative field such as Medical Informatics, Applied Math, Engineering, Computer Science or related field with a minimum of 5 years of industry or academic experience
Relevant Master's Degree, with 7 or more years of related industry experience

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

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