(Senior) Data Scientist (Biberach, Germany, Baden-Württemberg)
About this opportunity
The Position
Are you a passionate data enthusiast who loves to dive deep into complex problems and emerge with clear, actionable insights by application of methods of modern applied mathematics? Do you thrive in a collaborative environment where your work can make a real difference? If so, we have an exciting opportunity for you!
Do you think it is time for a digital change by applying data driven advanced data analytical methods? Are you visionary and innovative and convinced that digitization can be boosted by advanced data analytics? Come on and join our journey! Become a member of our Data Science Team!
The Senior Data Scientist will execute data science projects across the company with the purpose of solving non-routine business problems by applying advanced analytical methods including artificial intelligence, machine learning, causal inference, advanced statistics, and natural language processing by comprehensive application of contemporary LLMs and other related techniques.
This Position can be filled in Ingelheim or Biberach.
This position can be filled either as Data Scientist or Senior Data Scientist.
Tasks & responsibilities
In your new role, you analyze large complex manufacturing, quality, engineering, and supply chain data sets to deliver Human Pharma business solutions.
You model business requirements in analytics systems in cooperation with IT and meanwhile manage the prioritization and implementation of digital projects.
Global Project Management is your daily business: Herby you drive and deliver digitalization projects globally together with HP Departments, IT, BI-X, and external partners.
Furthermore, you provide support for advanced analytics applications for HP sites globally to bring in the advantages of digitalization and innovation to the business.
As part of the Data Science Team, you promote Digitalization within the whole Human Pharma Organization and towards internal and external customers, build up data-driven approaches, digital knowledge pool and network and support necessary change processes.
Additional tasks for Senior Data Scientist
You lead complex global data science and AI initiatives, acting as a subject matter expert and strategic partner for business stakeholders.
Mentor and develop Data Scientists while driving best practices, technical excellence, and adoption of emerging AI technologies across the organization.
Requirements
PhD or master’s degree in mathematics, physics, computer science or comparable fields
Several years of relevant work experience in data science and machine learning, experience in biotech/pharma/chemistry industry would be perfect
Proven expertise in Data Science, Statistics and Machine Learning with the common tool stacks in Python. Profound experience with MLOps, IoT, and LLMs/ RAG/ recommendation engine
Professional practice in handling large data volumes from various sources. Experience with relational, vector, and non-SQL databases
Hands-on experience in the development and operationalization of Agentic AI and Generative AI solutions, including LLM-based applications, autonomous AI agents, and orchestration frameworks
In-depth knowledge of transformer architecture and their practical application in modern Generative AI and large language model solutions
Profound Knowledge in scripting and programming languages, good modern software engineering practices, especially in the contemporary cloud computing concepts
Strong self-learning mindset and intrinsic motivation to tackle challenges independently, leveraging creative and structured problem-solving approaches to deliver impactful results
Fluent in English and preferably in German
Additional requirements for Senior Data Scientist
High expertise in change management demonstrated through several projects that involved a high degree of business transformation
High level of expertise in relevant methods and skills such as machine learning, advanced statistics, generative and agentic AI, data visualization, artificial intelligence, natural language processing, classification methods, feature extraction, dimensionality reduction, data handling algorithms, regression methods, time-series analysis, predictive modelling, etc.
Experience in the scientific supervision of young scientists and students is an advantage
Start date: asap
Apply until: 07.09.2026
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 is presumably online until 07.09.2026. We reserve the right to take the posting offline beforehand. Applications up to 27.08.2026 are guaranteed to be considered.
Step 2: Virtual meeting in the period from beginning till mid of September
Step 3: On-site interviews in the period from mid to end of September
Please submit your application documents in English.
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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 Senior Biostatistics & Data Science roles across 16 biopharma companies.
Salary context
22 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
1 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.