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Data Scientist - Life Science (f/m/d)

Welcome to our sector Life Sciences. Around 3,000 colleagues worldwide make their contribution to the most important thing in life: health. From the development of vaccines and the digitalisation of the health care system to forward-looking topics such as eHealth and digital therapeutics, we place our expertise in the pharmaceutical sector, medical technology and biotechnology at the service of our renowned customers. Are you the one to explore LIFE?


  • Exciting mix of projects in R&D and Digital Manufacturing, high learning effects as well as varied fields of activity from the world of Capgemini Engineering for the most renowned clients in Biopharma, MedTech and Consumer Health
  • High transparency in career development in an extremely dynamic work environment, where promotion opportunities and perspective have a great deal of scope
  • Appreciative, diverse work environment, individually tailored training opportunities, web-based training platform with internal and external training opportunities
  • Numerous networking opportunities via professional and technical communities, but also celebrating across locations is part of our culture (e. g. team events, summer party, kick-off events etc.).


  • You define the use case requirements with our customers, run ideation/design thinking workshops in the areas of R&D (drug discovery, large and small molecule research, clinical study design, operations planning, etc.), manufacturing (predictive maintenance in labs, predict product quality, modelling product stability, etc.), regulatory affairs and others.
  • You utilise the appropriate analytics approach, design and identify the potential in the data to achieve the business objectives.
  • You use our accelerators (AI Studio) and frameworks (RAPIDE) to implement innovative data driven solutions using analytics & AI.
  • You pre-process structured and unstructured data like tables, free text, pdfs/words, images etc.
  • You define modelling, model selection and evaluation strategies for different business areas.
  • You build models using conventional machine-learning and deep learning algorithms, to obtain maximum performance for the problem in hand.
  • You develop automated solutions in a GxP environment.
  • You deploy machine learning models and apply MLOps techniques for automated retraining, inferences, and monitoring.
  • You communicate with cross-interface contacts (medicine, laboratory, biology etc.) to understand their requirements and to showcase your developed solution.


  • A university degree in (bio-)mathematics, (bio-)chemistry, physics or in a comparable natural science field (PhD candidates are welcome).
  • At least 2 years of experience in a life science industry, experience in R&D product formulation, product quality or manufacturing.
  • Solid background in biostatistics and omics data analysis.
  • Advanced programming skills in R or Python and good data visualisation skills (R Shiny, Dash etc.).
  • Excellent analytical thinking, problem solving and collaboration skills
  • Experience in Data Flow pipelines (e. g. airflow) is a plus.
  • Familiarity with Git, Docker, basic cloud skills (AWS, GCP, Azure etc.) and experience in agile projects.
  • Experience in SQL and ETL is a plus.
  • Business fluent in English and very good presentation and communication skills, German language skills are advantageous.

Do you have any questions about the job profile and/or requirements?
Please get in touch with your contact person in Recruiting.

Capgemini Engineering
Altran Deutschland S.A.S. & Co. KG
Asaja Köppermann
+49 1748349917
[email protected]

Please fill in our online application form completely and attach your CV. We wish you every success for your application.

Capgemini Engineering is committed to the employment of a diverse workforce. Qualified applicants are considered regardlessof their origin, skin colour, religion, gender, age, sexual orientation, gender identity, gender expression, veteran status or disability.

Work with great people

Ingenieurin App Development & UX/UI
"Unsere wertorientierte Kultur lässt mich wachsen"
Experte Verification & Validation
"Ich arbeite so, wie es für mich am besten passt"
Teamleiterin System Engineering
"Ich gestalte meine Karriere nach meinen individuellen Wünschen"
Projektmanager Research & Development
"Ich erweitere täglich mein Know-How"

Great Place to Work

  • Spannende Arbeitstätigkeit

  • Individueller Karriereplan

  • Vielfältiges Weiterbildungsangebot

  • Betriebliche Altersvorsorge

  • E-Gym WellPass

  • E-Coachings zu Gesundheit & Stressmanagement

  • Flexible Arbeits- und Teilzeitmodelle

  • Mobiles Arbeiten nach Absprache

  • Attraktives Mitarbeiterbeteiligungsprogramm

  • Einkaufsvorteile und Rabattaktionen

  • Nachhaltig unterwegs - Das JobRad-Programm

  • Zahlreiche Events

  • Wertorientierte Unternehmenskultur

About the company

Since 2020, Capgemini Engineering (formerly Altran) has been an integral part of Capgemini, a global leader in consulting, digital transformation, technology and engineering services. As a part of the Capgemini family and a global leader in engineering and R&D services, we bring the most powerful innovation for Intelligent Industry to the world of tomorrow: on the road, in the air, on the seas, in rail transport, in energy production, in life science, finance and telecommunications. We have more than 52,000 engineers and scientists in over 30 countries. Our mission to develop technology for an inclusive and sustainable future requires one thing above all: human energy! We want to grow. Are you a technology enthusiast, ambitious and would you like to be a part of something big? Are you the ONE for Capgemini Engineering?

Online-BewerbungBewirb dich jetzt online und werde ein Teil unserer globalen und diversen Community und arbeite Seite an Seite mit Kolleginnen und Kollegen, an einer nachhaltigen und integrativen Zukunft.

Wir melden uns bei dir!Nachdem wir deine Unterlagen gesichtet haben, melden wir uns nach spätestens 10 Tagen bei dir.

Persönliches KennenlernenIn einem persönlichen Gespräch wollen wir mit dir ins Gespräch kommen und dich näher kennenlernen.

Unser Angebot an dich!Nach einem erfolgreichen Bewerbungsprozess senden wir dir dein attraktives Vertragsangebot.

Willkommen im Team!Herzlich Willkommen bei Capgemini Engineering! Im Rahmen unserer Onboarding-Veranstaltung heißen wir dich herzlich willkommen, knüpfen gemeinsam erste wichtige Kontakte und stellen dir unsere Unternehmenskultur vor.

Asaja Köppermann | Contact Person

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