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Process Data Engineer III - MSAT

Process Data Engineer III - MSAT

Sanofi GroupFramingham, MA, United States
1 day ago
Job type
  • Full-time
Job description

Job Title : Process Data Engineer III

Grade : L2

Hiring Manage : Mike Springer

Location : Framingham, MA

About the Job

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

Sanofi Global MSAT (Manufacturing Sciences, Analytics, and Technology) acts as a crucial link between our R&D and Manufacturing facilities, playing a vital role in securing the present portfolio and delivering future launches of high-quality and innovative drugs and vaccines. By driving its own transformation, Global MSAT fulfils an important function by providing day-to-day Manufacturing Support, focusing on technical and process aspects, effective Life Cycle Management, process robustness enhancement, and yield improvement to optimize performance.

Under the leadership of MSAT and in partnership with many other functions (Manufacturing 4.0, Digital, M&S, R&D), the Process Data Science & Digital transformation (DSD) team is a transversal team driving innovations, developments, expansion, and integration within the MSAT day-to-day operational space.

This position is based in Framingham, MA, and will work directly with process engineers to manage the development and design of automated systems as well as to provide advanced analytics and system modeling support across multiple functions of Cell Culture, Purification and Analytics.

We are an innovative global healthcare company with one purpose : to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Hybrid - 3 days per week in Framingham, MA - required.

Main Responsibilities

Design, develop, and maintain robust ETL processes to integrate data from various sources

Create and optimize data models to support business intelligence and analytics initiatives

Collaborate with cross-functional teams to identify data requirements and deliver tailored solutions

Implement data quality checks and ensure data integrity across all systems

Develop and maintain documentation for data processes, models, and pipelines

Continuously improve data infrastructure and processes to enhance performance and scalability

Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering and process monitoring solutions for new manufacturing facilities.

Exploit opportunities to leverage manufacturing data to develop data engineering and machine learning (ML) models and real-time process monitoring approaches.

Translate data analytics outcomes to non-scientific audiences, champion data-driven decision making and empower end-users to perform simple analytics.

Support various stakeholders to ensure timely delivery of data engineering, visualization, ML and AI capabilities. Promote a strong quality mindset with a focus on data integrity, validation, and data governance.

About You

Basic Qualifications

Bachelor's degree with 5+ years or a Master's Degree with 3+ years or a PhD with 1 year of experience in data sciences, computer sciences, chemical engineer or a related discipline in pharmaceutical industry.

Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL)

Strong programming skills in Python or R

Experience with ETL tools and processes

Preferred Qualifications

Strong knowledge in working with data historian systems, including Aspen IP21 or AVEVA PI Asset Framework (AF) & PI Event Frames - infrastructure, Manufacturing Execution System (MES) and IoT solutions.

High level of familiarity using platforms such as Snowflake, AWS, Azure, Github and no-code / low-code applications such as Dataiku.

Strong aptitude in developing data visualization platforms (Power BI, R Shiny, Streamlit, etc.)Experience in using SAP data and the use of transactional and genealogy data in data contextualization.

Experience in writing reports and knowledge management documentation.

Why Choose Us

Bring the miracles of science to life alongside a supportive, future-focused team.

Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.

Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.

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.

#GD-SG

#LI-GZ

#LI-Onsite

#vhd

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.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

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

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; 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.

North America Applicants Only

The salary range for this position is :

$74,250.00 - $123,750.00

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK () .

Global Terms & Conditions and Data Privacy Statement ()

Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.

With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting www.sanofi.com or via our movie We are Sanofi ()

As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.

All in for Diversity, Equity and Inclusion at Sanofi - YouTube ()

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Data Engineer Iii • Framingham, MA, United States

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