Principal Data Scientist

Job description

Principal Data Scientist

Principal Data Scientist in Advanced Analytics for Real World Evidence and Clinical Outcomes will provide a high level of expertise in employing cutting-edge analytical & computational approaches to drive evidence-based pharmaceutical product development.  He/She will provide scientific and technical leadership in machine learning and AI, and he/she will work closely with other disciplines across Sanofi including Business Units, Digital, R&D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting edge analysis to key business questions. 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

People

·  Act as a subject matter expert in machine learning, statistical and/or modelling working on team projects and to advance internal capabilities by mentoring and advising junior colleagues.
·  Translate and appropriately champion advanced analytics results and capabilities to non-technical audiences.
·  Work with internal and external data scientists to scope and execute Advance Analytics projects.

Performance

·  Develop computational and statistical methodologies in Advanced Analytics for RWE & CO, - to be applied to pre-clinical, clinical trial, and complementary real-world information streams.
·  Maintain internal and external profile through contributions to congresses, publications, and external KOLs.
·  Provide expertise and execute advanced analytics for solving problems across R&D, Medical Affairs, HEVA and Market Access Strategies and Plans.

Process

·  Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modelling, simulation, text-mining/NLP, data-mining to extract insights and be able to communicate and champion these efforts across the company.
·  Plan and deploy methodological standards, standardized processes, demos, and POCs for the company’s highest priority business needs.
·  Contribute to the design, development, and implementation of Sanofi’s data science architecture and ecosystem to guide decision-making and building foundational capabilities

Required Skills & Experiences:

·  High level proficiency in at least two or more technical or analytical languages (R, Python, etc..).
·  Extensive 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.
·  Experience with any of the following: biomedical data types/population health data/real world data/novel data streams relevant to the pharmaceutical industry
·  Experience with big data analytics platforms or high-level ML libraries such as H2O, SageMaker, Databricks, Keras, pyTorch, TensorFlow, Theano, DSSTNE or similar
·  Strong oral and written communication skills
·  A demonstrated ability to work and collaborate in a team environment, and a willingness to mentor junior colleagues.

Desirable Skills & Experiences:

·  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 technologies and analyses
·  Knowledge of some datavis technologies (ggplot2, shiny, plotly, d3, Tableau or Spotfire)
·  Experience with advanced ML techniques (RNN, CNN, LSTM, GRU, Genetic Algorithms, Reinforcement Learning, etc.).

Qualifications

·  PhD or ScD in quantitative field such as Medical Informatics, Statistics, Applied Mathematics, Computational Biology, Computer Science, Engineering or related field with 3 years of industry or academic experience
·  Relevant Master’s Degree, with 5+ 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.