Job
- Level
- Junior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
You work on healthcare projects, developing ML models, analyzing real-world evidence data, and building data pipelines. Additionally, you optimize prototypes, conduct literature research, and present findings.
Job Technologies
Your role in the team
- You will work together with us on projects for clients from the healthcare sector, for example:
- Analyses and ML models based on real supply data such as statutory health insurance billing data, hospital data, or cancer registry data.
- Real-world evidence studies for pharmaceutical companies, including survival time analyses.
- Validation and scoring models for health insurance companies, also with NLP on unstructured texts.
- Development of data pipelines and the path from prototype to production.
- Software development with common Machine Learning and Statistics libraries (scikit-learn, SciPy, NumPy, Pandas, PyTorch, TensorFlow, etc.) and typical development tools (Git, GitFlow, GitHub, GitLab, Jira).
- Literature research and implementation of new methods as a prototype.
- Coordination with subject matter experts on the client side and presentation of results.
- Optional: Teaching activities in the field of Data Science and Programming.
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Our expectations of you
Education
- Completed degree in Data Science, Computer Science, Mathematics, Statistics, Physics, Bioinformatics, or a related field, or equivalent practical experience.
Qualifications
- Proficient handling of 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 techniques.
- Very good German skills (at least C1), as our clients come from the German healthcare sector and public environment, as well as good English skills.
Experience
- Initial practical experience, e.g., from projects or early career years.
- Experience with Git and collaborative development.
- An additional plus is: experience with health data, survival analysis or causal inference, R, Rust, Kubernetes or Airflow.
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What we offer
- Flexible working: 2-3 days of home office per week.
- Individual training opportunities.
- Experienced management that is always approachable and assigns you responsibility early on.
- No unpaid overtime, additional hours are compensated with time off.
- Edenred card with a monthly budget for free use.
- Free lunch, beverages, and snacks in the office.
- MacBook as a work device.
- 28 vacation days.
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Topics You Will Work On
Job Locations
About Your Employer
Limebit GmbH
Limebit GmbH, a consulting firm based in Berlin, focuses on Data Science and Machine Learning in the healthcare sector. It provides support to health insurance companies, hospitals, and pharmaceutical companies in analyzing medical data and develops advanced AI solutions for the healthcare and life sciences field.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Data Scientist/Machine Learning Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
