Boehringer Ingelheim Posted October 16, 2026

Principal Scientist Computational Biology (Biberach, Germany, Baden-Württemberg)

Biberach, Germany Type not listed
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Boehringer Ingelheim is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

The Position

We are seeking an experienced and scientifically driven computational biologist to help advance our mission of discovering and developing novel therapies for patients with cardio-renal-metabolic (CRM) diseases. This is an opportunity to shape the next generation of CRM medicines by working at the forefront of computational biology, human disease understanding, and translational science. We welcome candidates who combine scientific depth, strategic thinking, and a collaborative mindset to turn complex data into meaningful therapeutic impact.

As a Principal Scientist in the CRM Computational Biology team, you will play a key role in translating complex human biological and clinical data into actionable insights that shape target discovery, biomarker strategies, patient stratification, and translational research.

Embedded in Boehringer Ingelheim's growing Computational Innovation department (@computationalinnovation), you will work at the interface of human biology, data science, and therapeutic innovation. In close partnership with scientists across the CRM Therapeutic Area and other key functions, you will provide computational leadership that enables data-driven decisions across the drug discovery and early development pipeline.

This position has a hybrid setup with approximately 2-3 days per week on site.

This position is part time eligible with 80 %.

Tasks & responsibilities

In your new role, you will design, establish, and apply state-of-the-art computational approaches to analyze and integrate diverse data modalities, including multi-omics, spatial transcriptomics, imaging, clinical, and real-world data.

You will lead and contribute to discovery and translational projects focused on disease understanding, target identification and validation, biomarker discovery, patient stratification, and human biology-driven therapeutic hypotheses.

Furthermore, you will serve as a scientific interface between Computational Innovation, CRM Therapeutic Area teams, Experimental Medicine, and other partnering functions to ensure computational insights are translated into impactful project decisions.

You will provide scientific leadership for computational workstreams, including defining analytical strategies, prioritizing data sources, interpreting results, and guiding project teams toward biologically and therapeutically meaningful conclusions.

Moreover, you will present analytical strategies, results, and recommendations clearly and persuasively to project teams, senior stakeholders, and scientific communities across the organization.

In addition, you will develop innovative computational methods, analytical frameworks, and reusable workflows that strengthen data-driven drug discovery and create a broader impact across the organization.

Requirements

PhD in computational biology, bioinformatics, systems biology or a related discipline, with several years of postdoctoral or equivalent professional experience

Demonstrated experience applying computational biology in drug discovery or translational research, ideally within the pharmaceutical or biotechnology industry

Strong expertise in computational analysis of complex biological data, with relevant experience in areas such as multi-omics integration, spatial transcriptomics, biomarker discovery, patient stratification, disease biology, or target identification

Proficiency in R or Python, together with practical experience in reproducible research practices, version control systems such as GitHub or Bitbucket, scalable analytical pipelines, and FAIR data principles

Domain knowledge of cardio-renal-metabolic diseases is considered an advantage.

Excellent communication, presentation, and stakeholder management skills, with a track record of effective collaboration in multidisciplinary project teams

Fluency in English, both 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 December 31, 2026. We reserve the right to take the posting offline beforehand.

Step 2: Virtual meeting in October and November 2026.

Step 3: On-site interviews November and December 2026.

Please submit your application documents in English.

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Job details

Seniority
Principal
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Biberach, Germany
Employment type
Not listed

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 159 comparable Principal Biostatistics & Data Science roles across 33 biopharma companies.

159Comparable roles tracked
144Currently active
33Companies hiring similar roles
19Countries represented

Salary context

75 of 159 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.

This roleSubject Not listed on this posting
Lowest disclosed · Senior Data Scientist · AbbVie $84,500/yr – $162,000/yr
Peer group range $123,250 – $288,000 (median $178,500)

Where these roles are based

Top locations among the 159 comparable roles

United States100
India16
United Kingdom8
China6
Canada5
Belgium4

+ 13 more countries

Seniority mix

159 of 159 peers have a known seniority level

Senior86
Principal45
Director28

Therapeutic area mix

20 of 159 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology15
Immunology2
Rare Disease2
Neuroscience1

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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.

50%
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Function Therapeutic area Adjacent seniority Country
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Unmatched or unknown dimensions score exactly the same: 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.