Working Student -Digital Manufacturing & Data Analytics (all genders)
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Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
At our Schnelldorf site, around 500 employees are dedicated to ensuring the global availability of laboratory products and research supplies. As part of our site expansion, we are integrating logistics and manual filling – making Schnelldorf a key hub in the global life-science supply chain.For our team we are looking for you: an engaged digital geek who is interested in actively empower production with data and gaining deep insights into industrial digitalization. Join us in transforming complex production data into practical solutions that improve processes, enable smarter decisions and create lasting impact!
Your role
Explore different AI based tools and technologies for data processing and visualization
Develop and test data analysis flow for production data
Build reporting dashboards, historical trends, etc. over visualization Apps and offer hyper-care for end-users
Enhance lifecycle management for digital user cases, including data quality control, user access control, etc.
Supplement documentation for verified data analysis workflow & prepare training materials
Your profile
Registered student in Computer Science, Engineering, or a related field - master student preferred
Enhanced Knowledge and experience with programming (Python, Java, C++, etc.)
Familiarity with AI and machine learning concepts is a plus
Strong analytical and problem-solving skills
Openness and team spirit is our culture, also for you
Fluent in English (C1), German is a plus
Start time is flexible, 16-20 h pro week is required.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Job details
How this role compares
Computed from every other active Manufacturing & CMC role in our database, not just this employer's listings.
We currently track 2526 comparable Manufacturing & CMC roles across 157 biopharma companies.
Salary context
639 of 2526 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 2526 comparable roles
+ 55 more countries
Seniority mix
1056 of 2526 peers have a known seniority level
Therapeutic area mix
5 of 2526 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.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
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.