Postdoc Mass Spectrometry and Characterisation (Biberach, Germany, Baden-Württemberg)
About this opportunity
The Position
Would you like to contribute to the development of next-generation biotherapeutics?
At Boehringer Ingelheim’s research site in Biberach, Germany, you will contribute to the advanced characterization of next-generation biotherapeutics and help deepen our understanding of their structure-function relationships.
This position is ideal for a scientifically curious researcher with expertise in therapeutic protein characterization who enjoys structuring complex datasets, collaborating across disciplines, and developing projects from concept to implementation. You will work closely with experts in mass spectrometry, physicochemical analytics, structural biology, bioinformatics, data science, and CMC project teams. Together, you will establish a foundation for the predictive and data-driven development of biologics.
Your research will focus on scientific, practical, and project-specific questions that align with the department’s goals and contribute to Boehringer Ingelheim’s innovative and growing pipeline.
Discover our Biberach site: xplorebiberach.com
This position is limited for 2 years.
This position is part time eligible with 80 %.
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This Position is limited for 2 years.
Note: To make it easier to find our job advertisements, we use the usual designation "postdoc". Of course, this advertisement is not only addressed to applicants directly after completing their doctorate, but to all qualified candidates.
Tasks & responsibilities
As a Postdoctoral Fellow in the Structure-Function Analytics (SFA) group, you will leverage your expertise and enthusiasm to drive mass spectrometry and protein physicochemical, chromatographical, and electrophoretic characterization, focusing on structure-function relationships. In this context, you will focus on the advanced characterization of innovative therapeutic proteins.
Leading and driving a scientific innovative project, you focus on structure-function relationships and predictive assessment/s, ensuring their effective implementation within our interdisciplinary team.
You approach scientific questions from the biopharmaceutical characterization with curiosity and an open mind, thoroughly investigating underlying causalities, identify actionable insights, and translate them into impactful contributions for your team or organization.
Collaborating with internal and external (international) stakeholders, including data scientists and digital experts, you explore application solutions, AI-enabled interpretation approaches, similarity profiling, and in silico prediction concepts.
Driving project planning, milestone tracking, stakeholder communication, and scientific decision-making, you work in close alignment with the laboratory head and cross-functional collaborators.
Preparation of high-quality scientific summaries, presentations, recommendations, and publication-ready outputs for internal and external audiences motivates and excites you.
Requirements
A university degree in biochemistry, protein chemistry, analytical chemistry, bioinformatics, structural biology, pharmaceutical sciences or a related scientific discipline, with a completed PhD
Strong scientific background in therapeutic protein or biologics characterization, ideally including monoclonal antibodies, antibody-derived formats, recombinant proteins, or other complex biologic modalities
Hands-on expertise with advanced analytical technologies including mass spectrometry-based protein analytics (peptide mapping, intact and subunit level), chromatography (SEC, IEX, RP, HIC), and related advanced analytical technologies, including corresponding relevant data evaluation software packages such as Chromeleon, Empower, and UniFi. Practical experience with the GeneData Biologics Suite (such as Expressionist, Screener, Chromatics) would be an advantage.
Comprehensive understanding of structure-function relationships of biotherapeutics, higher-order structure, protein stability, degradation pathways, molecular liabilities, critical quality attributes, and functional characterization of biologics
Natural curiosity for scientific exploration, conceptual thinking, scientific rigor, and enthusiasm for building new approaches that connect experimental protein analytics with digital and predictive technologies
Fluency in both German and English, written and spoken
As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.
Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.
Ready to contact us?
If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com
Recruitment process:
Step 1: Online application - The job posting is presumably online until October 1st, 2026.
Step 2: Virtual meeting calendar week 42
Step 3: On-site interviews October 26., 27., 29., 2026
Please include the following documents when applying for this position: Cover letter, CV, List of publication
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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 76 comparable Intern/Fellow/Postdoc Drug Discovery & Preclinical Research roles across 19 biopharma companies.
Salary context
21 of 76 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 76 comparable roles
+ 3 more countries
Seniority mix
76 of 76 peers have a known seniority level
Therapeutic area mix
11 of 76 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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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.