Senior or Principal Clinical Data Scientist (Biberach, Germany, Baden-Württemberg)
About this opportunity
The Position
Join a team where your expertise drives meaningful scientific progress!
In Global Experimental Medicine, we drive forward innovative therapeutic concepts and drug candidates that offer clear benefits for patients. With speed and precision, we strive to achieve early patient proof of concepts (PoCs) by combining our strengths and acting with urgency.
In the Data & Analysis Department within Experimental Medicine, we focus on delivering high quality clinical data efficiently and supporting modern, innovative study designs and their respective analyses, enabling transparent insights that strengthen informed decision making
We encourage you to bring your expertise as a Senior or Principal Statistician for Healthy Volunteer Studies for cli nical pharmacology trials and play a key role in shaping the future of clinical development within Experimental Medicine. In this position, you will support clinical drug development by providing strategic planning and execution of our clinical trials as well as all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data.
Ready to shape the future of Experimental Medicine? Apply now.
This position can be filled in Ingelheim or Biberach.
This position has a hybrid setup with approximately 1-2 days per week on site.
This position can be filled either as Senior Statistcian or Principal Statistician.
Tasks & responsibilities
As a Senior Statistician, you will be responsible for the planning and execution of clinical pharmacology trials such as first in human SRD/MRD, bioequivalence, bioavailability, special populations, drug–drug interaction, hADME and TQT.
Furthermore, you will oversee all aspects of data analytics, developing statistical study designs and statistical analysis plans, and provide the necessary analytical tools and outputs to support high-quality trial delivery.
You will apply established statistical methodologies and integrate innovative data science approaches to design studies and analyze clinical data from clinical pharmacology trials generating insights that ultimately help us make a meaningful difference for our patients.
In addition, you will work closely with colleagues from various disciplines across Experimental Medicine and Medicine, providing statistical expertise to support clinical pharmacology trials.
You will enhance your business knowledge and scientific expertise in a global drug development environment.
Moreover, with your expertise you will exchange with the statistical and data science community inside and outside of Boehringer Ingelheim.
Additional tasks for a Principal Position
A s a Principal Statistician, yo u will additionally lead and oversee the design, analysis, and reporting of complex clinical pharmacology trials.
You will lead and guide colleagues as well as internal and external partners on statistics and data science–related tasks.
Requirements
Master of Science (MSc) in Statistics or Mathematics or comparable with several years’ experience in drug development, including sound knowledge of statistical methodology, design of clinical pharmacology trials, basic medical terminology, and processing clinical trial information
Advanced knowledge of and hands-on experience in relevant software languages, like SAS and R
Familiarity with submission standards such as CDISC, FDA, EMA guidelines and regulatory requirements for clinical data analysis
Ability to proactively identify issues and solutions as well as to interact with internal and external bodies on routine data science issues
Strong interpersonal skills for effective collaboration within and outside of our organization, including a "We" mindset, empathy, trust-building, curiosity, courage and a consistent big picture mindset
Oral and written communication skills to interact in interdisciplinary teams as well as the ability to explain, visualize and communicate statistical information to non-statisticians effectively
Fluency in written and spoken English
Additional requirements for a Principal Position
Doctoral Degree (PhD) with several years of relevant professional experience or master’s degree with longstanding relevant professional experience
Broad knowledge and advanced experience in complex clinical pharmacology trial designs, trial development processes, and corresponding data analyses
In depth understanding of advanced statistical concepts relevant to clinical pharmacology trials
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: [email protected]
Recruitment process:
Step 1: Online application – The job posting will remain online until the end of June 2026. We reserve the right to take the posting offline earlier if needed.
Step 2: First interview rounds – First rounds of interviews will be conducted in July 2026.
Step 3: Second interview rounds – Second rounds of interviews will take place in August 2026.
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Job details
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 62 comparable Principal Biostatistics & Data Science roles across 16 biopharma companies.
Salary context
24 of 62 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 62 comparable roles
+ 7 more countries
Seniority mix
62 of 62 peers have a known seniority level
Therapeutic area mix
4 of 62 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.