Data Scientist

**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**?

**THIS IS WHAT WE OFFER**
- 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.).

**THIS IS THE JOB**
- Defining with our customers the use case requirements, running ideation/design thinking workshops in the areas of R&D (drug discovery, large or small molecule research, clinical study design, operations planning,..), manufacturing (predictive maintenance in labs, predict product quality, modeling product stability), regulatory affairs and others
- Consulting on appropriate analytics approach, design and identify the potential in the data to solve the business objectives
- Using our accelerators (AI Studio) and frameworks (RAPIDE) to implement innovative data driven solutions using analytics & AI
- Pre-processing of structured and unstructured data like tables, free text, pdfs/words, images etc.
- Define modelling, model selection and evaluation strategies for different business areas
- Build models using machine-learning and deep learning algorithms like Logistic Regression, Decision Tree, Neural Network, CNN, LSTM, Reinforcement Learning
- Develop automated solutions in a GxP environment analysing unstructured data with current NLP technologies
- You will have project-based communication with cross-interface contacts (medicine, laboratory, biology etc.)

**THIS IS WHAT WE NEED**
- At least 2 years of experience in a life science industry, experience in R&D (oncology, cardiovascular areas etc.) product formulation, product quality, manufacturing
- Solid background in biostatistics and omics data analysis
- Advanced in R, Python skills 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
- Ability to use Git, Docker, basic cloud skills (AWS, Azure etc.) and experience in agile projects
- Business fluent in English and very good presentation and communication skills, German skills are a plus

**WE LOOK FORWARD TO MEETING YOU**
Do you have any questions about the job profile and/or requirements?
Please get in touch with your contact person in Recruiting.

**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?