(Senior) Scientist, Protein Engineering
About this opportunity
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
POSITION
At Roche, over 100,000 colleagues are working together and doing what patients need next. Our ambition is to deliver novel therapeutics, diagnostic solutions and insights to patients with game changing clinical benefits. China Innovation Center of Roche (CICoR) is seeking a talented and experienced Scientist or Senior Scientist for the discovery, design and engineering of novel antibody drugs. The final position offered depends on the experience level of the candidate.
The position requires the candidate to perform the engineering of antibodies through rational design, computational engineering or display technologies. The successful candidate will work with dynamic and highly motivated teams to drive the development of antibody therapeutics for unmet medical needs. The candidate will collaborate with colleagues in Biologics Discovery and Development (BDD), Immunology Discovery, Oncology Discovery, Cardiovascular and Metabolic Disease Discovery, Protein Sciences, Structural Biology, AI Data and Digital, Pharmaceutical Sciences, and Biologics CMC. This position requires effective participation in multidisciplinary teams with members from CICoR.
RESPONSIBILITIES
● Contribute as a project member or as BDD project lead and collaborate with other cross-functional project leads in the design and execution of the program strategies and goals.
● Perform protein engineering to drive therapeutic antibody lead selection, design, and optimization for antibody discovery projects.
● Design and execute display libraries (phage, yeast or in vitro display) for antibody optimization.
● Design and select fit for purpose antibody format.
● Develop and apply cutting-edge computational and AI/ML tools for protein engineering and antibody optimization.
● Coordinate with CROs and monitor outsourcing activities to ensure timely delivery of qualified data to steer portfolios.
● Participate in due diligence to evaluate relevant external opportunities in order to license in assets or technologies.
CANDIDATE PROFILE
Qualification and experience
The candidate qualifications include a Ph.D. in Protein Engineering, Biophysics, Structural Biology, Computational Biology, or a related discipline, with at least 3 years of post-doctoral or industry experience, preferably in a biotechnology or pharma setting. A track record of effective protein engineering support of antibody generation and optimization efforts in drug discovery programs.
Competencies
The ideal candidate will have demonstrated competence in the following areas:
● Strong background in sequence and structure-based protein analysis and engineering.
● Hands-on experiences with antibody humanization, affinity maturation and developability optimization. Deep understanding of display technologies and workflows.
● Expertise of cutting-edge biologics formats including bi- and multi-specific antibodies.
● Experience with computational protein engineering, antibody paratope-epitope modeling, protein engineering to reduce immunogenicity, and next-generation sequencing (NGS) are vital.
● Strong proficiency in integrating AI/ML models (e.g., structure/sequence prediction algorithms) and computational protein design into wet-lab workflows.
● Hands-on experience with core molecular biology techniques (e.g., cloning, site-directed mutagenesis, library construction) and functional cell-based assays (e.g., binding, signaling, or cytotoxicity assays) is a strong plus.
● A track record of publications and accomplishments reflecting deep technical knowledge, adaptability in learning new techniques, and a history of consistent research productivity.
● Excellent communication and collaboration skills with a deep commitment to working as part of teams and recognizing the strengths of everyone on the team.
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
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 188 comparable Senior Drug Discovery & Preclinical Research roles across 30 biopharma companies.
Salary context
62 of 188 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 188 comparable roles
+ 6 more countries
Seniority mix
188 of 188 peers have a known seniority level
Therapeutic area mix
29 of 188 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.
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.