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Head CMC Data Science - Vaccine Design and Development

Synthorx

Synthorx

Design, Data Science
Toronto, ON, Canada
Posted on Tuesday, November 14, 2023

Reference No. R2719947

Position Title: Head CMC Data Science - VCDS - All gender (Unfilled)

Department: Global Innovation & Digital Acceleration

Location: Toronto, Ontario

Sanofi Vaccines

Sanofi's global vaccines business unit partners with the public health, medical and scientific communities to improve access to life-protecting vaccines and increase vaccination coverage, while striving to develop new and improved vaccines to enhance health and well-being.

At Sanofi, we chase the miracles of science to improve people’s lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people.

Position Summary:

Data Science Network Lead facilitates decision-based use case identification with platform leads, functional data scientists / data analysts, and bench scientists, with an aim of executing business strategies and / or supporting business decision-making with speed and quality, powered by connected data and driving enhancing value to the data generated within VCDS.

S/He is the thought leader of available data modeling solutions within / outside of Sanofi network, and focuses on identifying, promoting, and applying potential model solutions, which deliver highest business valued. To do so, s/he needs to possess fundamental understanding & concepts of data engineering.

S/He is the leading voice and figure, representing VCDS in various data science network & program settings, including but not limited to iCMC Digital Transformation, co-leading data & digital upskilling program within VCDS.

Key Responsibilities:

  • Leads and drives delivery of data strategies, including but not limited to identification, promotion, and adoption of use-case driven E2E data flow practices.

  • Represents VCDS Data team in data science network and digital project teams as the subject matter expert, bringing broad knowledge and expertise in data science, machine learning, simulation and prescriptive modeling applicable to CMC space.

  • Working with VCDS Business Data Architect and Functions builds prioritized list of use cases to drive data driven centricity of VCDS business process.

  • Interfaces and aligns across the CMC space and involved R&D Functions to synergistically drive Advanced Analytic development and deployment.

  • Designs, develops, and validates robust solutions and pipelines leveraging bioinformatics, statistical models, multivariate analysis, mechanistic and hybrid modelling, etc. for CMC data, covering both GMP and non-GMP activity needs.

  • Performs exploratory data analysis, hypothesis generation and validation through data integration, advanced analytics, and visualization of VCDS vaccine design, both process parameters and discreet experiment data sets.

  • Collaborates with scientific partners to advise on study design, readout selection and data formats, data analysis and modelling to generate actionable, reproducible, and interpretable insights.

  • Proactively identifies, assesses, and internalizes emerging technologies and methods from internal and external data science network.

  • Co-leads upskilling program for target population within VCDS on selected topics concerning advanced analytics, including but not limited to maintenance of a well-documented, reusable codebase, and traceable model history.

  • Coaches develops and leads network of data scientists and analytical / process scientists on data analytics to deliver overall strategy.

  • Co-examines existing data pipeline with business leaders and data architects, and identifies continuous improvement needs & priorities relevant to data engineering.

  • Contributes to data continuum system design.

  • Prepare and publish scientific papers and congress reports.

HSE Requirement/Statement:

  • Works within the policies, procedures and regulations as required by the Company and under the Occupational Health and Safety Act.

Context of the job/Major challenges:

  • Navigates ambiguous context and accountability to formulate a holistic and strategic picture.

  • Strikes a healthy balance between delivery agility and decision-making hierarchy.

  • Manages execution team and key stakeholders through impactful power of influence.

  • Communicates clearly in a global context and across various functional areas as well as digital space.

  • Drives problem-solving process with players from different technical background of different data and/or digital literacy levels.

  • Travel might be required (NA, and Global); Frequency is subject to needs.

Dimensions/Scope:

  • VCDS population – approx. 400 +/-

  • Global function coverage – 3, including AnSci, Global BioProcess Development, and Global Clinical Supply.

  • Project teams to interact – # varies, subject to system introduction cycles.

  • Key interfaces external to VCDS – VRD Data Office, mRNA Data Office, Sanofi CMC Data Strategy, iCMC DT Program Leads, Digital Data Office.

Key Requirements:

  • PhD in data sciences, chemometrics, computer sciences or related discipline with a minimum of 8 years of relevant industrial experience or Master’s degree and a minimum of 11 years of relevant industrial experience.

  • Trained and operational in Agile methodology.

  • Proven learning agility to pivot quickly from learner to influencer & coach’s role.

  • Track records of team-based problem-solving practices.

  • Demonstrated experiences in developing complex data analytics workflow – machine learning, multivariate analysis - on biologics processes.

  • Advanced programming (Python and R), data analytics and modeling skills with experience developing data visualization solutions, process & workflow automation and deploying solutions to the cloud.

  • Advanced knowledge of ETL tools such as Dataiku to build data flows, pipelines and outputs products such as dashboards, output files and visualizations.

  • Intermediate to advanced knowledge of data architecture, data warehousing, functional and acceptance testing.

  • Proven skills in leading complex data OR digital projects in an international / matrixed environment with both internal and external resources.

  • Understanding of vaccine development processes.

  • Fluent in English (speaking and writing).

  • Structured, goal-oriented and highly motivated to deliver results under high pressure.

  • Team player with excellent communication and presentation skills.

  • Coaching and mentoring skills, supporting development of scientists in the area of data science.

Pursue Progress.

Discover Extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.com!

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

Thank you in advance for your interest.

Only those candidates selected for interviews will be contacted.

Follow Sanofi on Twitter: @SanofiCanada and on LinkedIn: https://www.linkedin.com/company/sanofi

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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.