Principal Scientist Engineering
Company: Sanofi
Location: Cambridge
Posted on: June 25, 2025
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Job Description:
Job Title: Principal Scientist Engineering Location: Cambridge,
MA Abou the Job Are you ready to shape the future of medicine? The
race is on to speed up drug discovery and development to find
answers for patients and their families. Your skills could be
critical in helping our teams accelerate Progress. We are seeking
highly motivated individual to join our drug substance process
engineering and modeling team. As a technical expert in process
engineering and modeling, you will play a key role in advancing our
global engineering department within Sanofi’s R&D CMC Synthetic
organization. This position is located in Cambridge MA and will
collaborate closely with colleagues in France to support digital
development and implement new ways of working. Your expertise in
chemical engineering, process system modeling, and lab automation
will be crucial in creating a self-driving lab for small molecule
drug substance process development and optimization. You will help
developing automated experimental workflows to generate data for
model building, advancing the creation of digital twins and driving
innovation in pharmaceutical process development. We believe that
lab automation and digital development are crucial for the future
of process development in Pharma. By joining our team, you will be
at the forefront of this transformation, using your expertise to
push the boundaries of process engineering. This is an exciting
opportunity to demonstrate the benefits of process modelling and
data science in a cutting-edge scientific department developing the
next generation of Sanofi medicines that will improve the quality
of life for patients across the world. 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? Main
Responsibilities: Lab automation & data generation: - You will work
closely with laboratory teams (process chemists, engineers, and the
high-throughput experimentation team), fostering strong
partnerships with scientists to deeply understand their research
processes. Your goal will be to design, develop, and deploy
cutting-edge automated systems, robotics, instrumentation, and
digital workflows that significantly enhance the productivity and
efficiency of our labs - You will be responsible for programming
and developing automated laboratory systems. This includes
supporting software development and deployment to automate
workflows, integrating analytical instruments with laboratory
software, and ensuring seamless communication between instruments
and Sanofi's internal data management services. Mechanistic &
data-driven model building: - As part of matrix project teams,
build mechanistic, hybrid, and data-driven modeling solutions to
support small molecule process development. Collaborate with
process development teams to integrate crystallization modeling
into the overall process design and optimization workflow. Model
deployment at scale: - Assist in the development and deployment of
digital twins for both batch and continuous processes, ensuring
alignment with Quality by Design (QbD) principles. You will play a
key role in implementing and scaling Model Predictive Control (MPC)
systems, leveraging advanced process models to optimize performance
in real-time, maintain product quality, and enhance operational
efficiency across large-scale manufacturing environments. - Provide
concise technical presentations to communicate work to project
teams, cross functional teams and management. Document all work on
projects and continuous improvements in eLNB experiments and
summarize in Technical Reports. - Establish/extend external network
by providing leadership on academic, industrial, or government
sponsored collaborations. Steer collaboration projects to address
gaps in scientific knowledge. About You Basic Qualifications: - PhD
in chemical engineering with a minimum of 5 years experience in
industry or academia, a master’s degree with a minimum of 8 years
of experience or a bachelor’s degree with a minimum of 12 years
experience. - A PhD or masters degree in another field related to
advanced modeling or automation such mathematics or physics and
with experience relevant to the job description. - Strong skills in
writing and optimizing scripts in programming languages such as
Python/Matlab/C#/Visual Basic. - Experience with crystallization
modeling and simulation tools (e.g., gPROMS). - Experience in
designing and implementing automated laboratory processes from the
initial concept through to full deployment. - Demonstrated ability
to translate mathematical models into computer programs. - An
ability to work as part of a team, engaging other scientists with
complementary skill sets in the field of pharmaceutical
development. - A change agent mentality, proposing novel approach
to challenging scientific questions and exploring new modeling
approaches Preferred Qualifications: - Familiarity with laboratory
analytical measurement instruments or relevant work experience in a
pharmaceutical sciences laboratory setting. - Domain knowledge in
small molecule process development with demonstrated industrial
applications or academic publications in this field - Some
knowledge in Multivariate Analysis, chemometrics and statistics -
Experience in the development and scale-up of continuous processes
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-SA LI-SA LI-Onsite vhd All
compensation will be determined commensurate with demonstrated
experience. Employees may be eligible to participate in Company
employee benefit programs, and additional benefits information can
be found here.
Keywords: Sanofi, Hartford , Principal Scientist Engineering, Science, Research & Development , Cambridge, Connecticut
