Responsibilities
- Analyze and model large, multi-modal patient datasets to generate insights on patient journeys and unmet needs.
- Work hand-in-hand with the Chief AI Officer to develop, validate, and scale algorithms for our Patient Journey Analytics Platform.
- Collaborate with engineers and product managers to turn data insights into user-facing features for our B2B SaaS tool.
- Design and implement pipelines for data cleaning, feature engineering, and predictive modeling.
- Communicate results clearly to both technical and non-technical stakeholders, shaping how life science companies make decisions.
- Stay up to date with state-of-the-art methods in ML/AI and bring new ideas into our production stack.
Basic qualifications
- 3+ years of professional experience as a Data Scientist (preferably in healthtech, SaaS, or related fields).
- Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow, or similar ML libraries).
- Strong skills in SQL and experience working with structured/unstructured data.
- Solid understanding of statistical modeling, machine learning, and data visualization.
- Ability to work independently on complex problems while collaborating closely with product and engineering teams.
- Full fluency in English (written and spoken).
- Location: either of the following (all other applications will be ignored): On-site in Berlin
- On-site in Berlin
- Familiarity with cloud environments (AWS, GCP, or Azure).
Preferred qualifications
- Experience with real-world health data (e.g., patient-reported outcomes, claims, EHR).
- Knowledge of NLP and LLM
- Knowledge Graph
About the company
- Entrepreneurial spirit: We seek exceptional talent with the drive, passion, and creativity to shape the future of our company. This isn’t a place for those seeking routine tasks or detailed instructions. If you’re eager to influence the future of healthcare with your ideas and contributions, mama health is the place for you.
- Results-driven culture: We operate by objectives and reward exceptional performance. Goals are clear and accountability is key. If you miss your targets, we expect you to step up and put in the extra effort. When you achieve them, take the time to recharge and celebrate your success.
- Inclusive values: As a company addressing chronic diseases worldwide, we are building an international, diverse team. Our employees bring together a mix of medical, technical, and business expertise, representing over five nationalities.
Tags & focus areas
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