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Data Scientist Lead

Cambridge, Massachusetts, Toronto, Canada

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Overview

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Do you have what it takes for a successful career with Sanofi?

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  • Problem-Solver
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Culture: Play to Win

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Benefits

  • Health & Wellness

    Comprehensive coverage including medical, dental, vision, and health and wellness programs.

  • Financial

    Sanofi wants to ensure employees are equipped for financial health, Sanofi provides a competitive 401K Match program and Financial Wel-Being Tools and Programs.

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    At Sanofi, we demonstrate our commitment to inclusion and diversity through Culture groups and programs. There are many ways to make a difference and connect with other Sanofi employees: including ERG groups and 2 PAID days off to Volunteer.

  • Work/Life Balance

    Sanofi provides significant Work/Life benefits to help you excel beyond the workday. Including Workplace Flexibility through part‑time, remote work, flex‑time and job share options.

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Quote

"One of the best things about Sanofi Genzyme is the consistently fun and dynamic work environment that I get to be a part of."

Kristin Ouimet Regional Business Manager

"At Sanofi, We are guided by a deep appreciation and understanding of what it means to live with a rare blood disorder, and we learn by listening to the community – patients, caregivers physicians, and other healthcare professionals."

Shannon Resetich US Head Rare Diseases & Blood Disorders

"Patients are at the center of all that we do at Sanofi. Our teams are focused on advancing transformational therapies that can address serious unmet needs for people living with rare blood disorders, and expanding global patient access to our medicines."

Mouhamed Gueye US Head Medical Rare Blood Disorders

Responsibilities

At Sanofi we are bringing together Data Scientists to propel Sanofi into its digital transformation by deploying Artificial Intelligence throughout its business.  Data Science is being driven from an inspiring Digital organization with a core mission of helping the company to create data products and methods that enable teams to better work with our data.  The data scientists have a key role in accelerating R&D, driving business insights, innovating how we engage with customers and employees, automating business processes, and maximizing patient impact. This Digital Data Science steam is already making a difference and is expanding  – with multiple roles, in multiple locations.

This Lead Data Scientist will embrace multi-modal data relevant to R&D to help develop better drugs faster, choose the right treatment for a patient and run safer and more efficient clinical trials.

Lead Data Scientist Responsibilities:

  • Define and refine how Data Science can accelerate Sanofi R&D through preclinical and clinical efforts, with the goal of using data science to better understand the patient journey and to help us tailor interventions that maximize patient benefit.

  • Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data

  • Identify opportunities for data-centric AI approaches to enrich R&D models

  • Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products to accelerate and optimize R&D

  • Understanding and effectively work with a wide variety of data sources, such as unstructured data, omics,  wearable device data (for example accelerometry and ECG), voice recordings, imaging data, electronic health records, social media postings or operational data.

  • Developing digital data products for R&D that scale

  • He/she will be able to generate work product that includes interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs

  • Build models, algorithms, simulations, and performance evaluation by writing highly optimized, deployable code and using state-of-the art machine learning technologies

Essential experience:

  • Master's Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline and 5+ years of Data Science experience, or PhD + 3years of with relevant work & domain experience.

  • Direct experience with any of the following techniques: advanced NLP modeling, federated machine learning, semi-supervised deep learning, graph neural networks, Bayesian networks

  • Experience AI / ML modeling of complex datasets

  • Visual analytics and/or data story telling with Tableau or other

  • Experience with some aspects of pharmaceutical operations, biomedical data, and/or drug development

  • Expertise with the core data science languages (such as Python, R, Scala), and familiarity & flexibility with data systems (e.g. SQL, NoSQL, knowledge graphs)

  • Comfortable working in cloud and high-performance computational environments (e.g. AWS, Apache Spark, Databricks)

  • Excellent written and verbal communication, business analysis, and consultancy skills

  • Agile

Desirable experience:

  • Disciplined AI / ML development (CI / CD, Orchestration)

  • Experience with Tableau or Power BI

  • Privacy preserving data analytics

  • Regulatory, GxP, or similar standards

This role will be aligned with the Sanofi Data Science job function and role.

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.

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