Principal Data Scientist

Job description

We are seeking a Principal Data Scientist in Advanced Analytics for Real World Evidence and Clinical Outcomes. He/She 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.

Job Responsibilities:

·  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. 
·  Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modeling, simulation, text-mining/NLP, data-mining to extract insights and be able to communicate and champion these efforts across the company.
·  Act as a subject matter expert in machine learning, statistical and/or modeling working on team projects and to advance internal capabilities by mentoring and advising junior colleagues.
·  Maintain internal and external profiles 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.
·  Plan and deploy methodological standards, standardized processes, demos, and POCs for the company’s highest priority business needs.
·  Translate and appropriately champion advanced analytics results and capabilities to non-technical audiences. 
·  Contribute to the design, development, and implementation of Sanofi’s data science architecture and ecosystem to guide decision-making and building foundational capabilities.
·  Work with internal and external data scientists to scope and execute Advance Analytics projects.

Required Skills & Experience:

·  Ph.D. or ScD in a quantitative field such as Medical Informatics, Statistics, Applied Mathematics, Computational Biology, Computer Science, Engineering or related field with 5 years of industry or academic experience.
·  Relevant Master’s Degree, with 7+ years of related industry experience
·  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 probablistic and/or functional programming languages such as Stan, Edward, Scala
·  Experience with advanced ML techniques (RNN, CNN, LSTM, GRU, Genetic Algorithms, Reinforcement Learning, etc.).

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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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.