Data Scientist / Machine Learning Engineer (m/w/d) | Healthcare & Life Science
Limebit GmbH · BE, DE
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About the Role
Limebit is a Berlin-based Data Science and Machine Learning consultancy in the healthcare sector. For ten years, we have been working with health insurance companies, clinic groups, research institutions, and pharmaceutical companies to derive reliable insights and productive applications from medical data. Our team of Data Scientists, ML Engineers, Mathematicians, and Software Developers is growing. We are looking for someone with initial practical experience to work with us on challenging client projects and develop professionally.
Responsibilities
- Work on projects for clients in the healthcare sector.
- Perform analyses and build ML models on real-world data such as statutory health insurance claims data, hospital data, or cancer registry data.
- Conduct Real-World Evidence studies for pharmaceutical companies, including survival analyses.
- Develop audit and scoring models for health insurance companies, including NLP on unstructured texts.
- Develop data pipelines and manage the path from prototype to production.
- Engage in software development using common Machine Learning and statistics libraries (scikit-learn, SciPy, NumPy, Pandas, PyTorch, Tensorflow etc.) and typical development tools (Git, GitFlow, GitHub, GitLab, Jira).
- Conduct literature research and implement new methods as prototypes.
- Coordinate with subject matter experts on the client side and present results.
- Optional: Conduct teaching activities in the field of Data Science and programming.
Requirements
- Completed degree in Data Science, Computer Science, Mathematics, Statistics, Physics, Bioinformatics, or a comparable field, or equivalent practical experience.
- Initial practical experience, e.g., from projects or early career years.
- Proficient in Python and common libraries (e.g., pandas or Polars, NumPy, SciPy, scikit-learn, PyTorch) as well as SQL.
- Solid understanding of statistical methods and ML procedures.
- Experience with Git and collaborative development.
- Very good German language skills (at least C1) and good English language skills.
- Experience with health data is a plus.
- Experience with Survival Analysis or causal inference is a plus.
- Experience with R, Rust, Kubernetes, or Airflow is a plus.
Skills
- Python
- pandas
- Polars
- NumPy
- SciPy
- scikit-learn
- PyTorch
- Tensorflow
- SQL
- Git
- GitFlow
- GitHub
- GitLab
- Jira
- NLP
- Survival Analysis
- Causal Inference
- R
- Rust
- Kubernetes
- Airflow
Location
- Berlin
Work Type
- 2-3 days home office per week
- Full-time
Experience Level
- Initial practical experience
Education Level
- Degree in Data Science, Computer Science, Mathematics, Statistics, Physics, Bioinformatics, or a comparable field
- Equivalent practical experience
Benefits
- Flexible working: 2-3 days home office per week
- Individual professional development opportunities
- Experienced management that is always available and delegates responsibility early
- No unpaid overtime; overtime is compensated with time off
- Edenred card with a monthly budget for free use
- Free lunch, drinks, and snacks in the office
- MacBook as a work device
- 28 vacation days
About the Company
- Limebit is a Berlin-based Data Science and Machine Learning consultancy in the healthcare sector.
- For ten years, we have been working with health insurance companies, clinic groups, research institutions, and pharmaceutical companies to derive reliable insights and productive applications from medical data.
- Our team of Data Scientists, ML Engineers, Mathematicians, and Software Developers is growing.
- We value a respectful collaboration, flat hierarchies, and an independent, responsible way of working.
Equal Opportunity
- We welcome all applications, regardless of origin, skin color, gender, sexual orientation, religion, age, or disability.