Post-Doc Scientist Antibody Discovery & Engineering
About this opportunity
About the Role
We are looking for a highly motivated and talented Post-Doctoral Researcher to join our team in the Large Molecule Research platform at Sanofi. This position offers a unique opportunity to work on an ambitious and cutting-edge project focused on the discovery and engineering of 2-in-1 antibodies for the development of innovative therapeutic antibodies.
This is a complex and challenging project that will require strong scientific autonomy, versatility across multiple methodologies, and excellent collaborative skills in a cross-functional environment.
Key Responsibilities
Developing and implementing state-of-the-art technological methods for innovative antibody discovery using display technologies (phage display and/or yeast display)
Engineer and optimize 2-in-1 bispecific antibody formats for therapeutic applications
Perform biochemical and biophysical characterization of antibody candidates
Establishing robust and transferable methodologies, ready to be deployed in support of therapeutic areas
Conduct high-throughput screening and analyze large datasets with strong analytical rigor
Work in close collaboration with cross-functional teams
Present findings internally and contribute to publications and/or patent filings
Ensuring seamless integration of these new methods into the existing discovery pipeline
Required Profile
PhD in Protein Engineering or a related field
Industrial experience would be an asset
Demonstrated expertise in antibody discovery and/or engineering
Strong hands-on experience with display technologies (phage display and/or yeast display)
Solid knowledge of screening methodologies and biochemistry techniques
Bilingual: digitally fluent, and experimental mindset
Strong data analysis skills and ability to draw meaningful scientific conclusions
Ability to work autonomously while being a strong team player
Experience in cross-functional collaboration is a plus
Excellent written and oral communication skills in English
What We Offer
A stimulating scientific environment within a world-leading biopharmaceutical company
Access to state-of-the-art technologies and platforms
Opportunities to contribute to innovative therapeutic programs
A collaborative and inclusive team culture
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 !
Job details
How this role compares
Computed from every other active Drug Discovery & Preclinical Research role in our database, not just this employer's listings.
We currently track 93 comparable Intern/Fellow/Postdoc Drug Discovery & Preclinical Research roles across 22 biopharma companies.
Salary context
23 of 93 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 93 comparable roles
+ 4 more countries
Seniority mix
93 of 93 peers have a known seniority level
Therapeutic area mix
14 of 93 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.