Scientist Computational Structural Biology
Posted on: November 15, 2023
We seek a highly motivated scientist to join our Structural Biology
& Protein Design (SBPD) Lab at Sanofi. Our SBPD Lab is a part of
the Protein Engineering Group within the LMR (Large Molecule
Research) Department. As a key member of our highly efficient and
dynamic team, you will deliver structural biology results and
structure-based protein engineering solutions to contribute to
exciting biologics projects from Immuno-oncology, Immunology &
Inflammation and Rare & Neuro therapeutic areas. Our success will
be enabled by Sanofi's on-site, state-of-art cryo-EM facility and
rapid adoption of leading-edge digital biology tools used. The
successful candidate will work in a collaborative,
multidisciplinary and fast-paced work environment to design and
engineer revolutionary large molecule medicines, including
multivalent, multi-targeting antibodies/nanobodies/fusion proteins.
This is an exciting and unique opportunity to play a key role in
resolving real-world challenges within biologics drug discovery and
make impacts to patients' life.
- Deliver and present structural biology and structure-based
analysis to support large molecule projects.
- Structure and protein engineering support for Sanofi's
biologics R&D portfolio, making full use of our newly
established top-end cryo-EM infrastructure.
- Develop and integrate modeling, computational and structural
biology methods to provide protein design solutions for
antibody/nanobody engineering, including affinity modification,
cross-reactivity engineering, liability risk prediction and
mitigation, multi-specific antibody engineering, etc.
- Closely monitor leading edge developments in scientific
literatures and develop new skills in the area of structural
biology and antibody engineering.
- Effectively collaborate with colleagues from diverse scientific
backgrounds. Basic Qualifications
- PhD in Biochemistry, Biophysics, or similar, OR MS with 3 years
of experience in structural biology and protein design . Hands-on
expertise with all aspects of protein crystallography and
- Deep understanding of antibody/nanobody structure and the
application of structure within biologics R&D. Hands-on
experience with protein modeling, structural analysis,
structure-based protein design and optimization of biochemical and
biophysical properties using computational protein design
- A drive for self-development with a focus on scientific
know-how. Excellent problem solving and written/oral communication
skills, as well as scientific writing, presentation, and
- Track record of scientific accomplishments as evidenced by a
strong publication record.
- Success to obtain high resolution structures of integral
membrane proteins is preferred.
- Familiarity with statistics and machine learning is preferred.
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.
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
Keywords: Sanofi, Cambridge , Scientist Computational Structural Biology, Other , Cambridge, Massachusetts
Didn't find what you're looking for? Search again!