Data Science
Causalis is a VC-backed startup partnering with the world’s leading pharma companies, building machine learning solutions to bring causal intelligence to healthcare. We are developing a platform of solutions based on novel and proprietary causal AI techniques, to help doctors, patients, and researchers understand and act on the cause-effect relationships in medical data. We are amulti-disciplinary, international team of experts in AI and ML, causal inference and data science, healthcare and medicine. We are looking for smart, driven and overall extraordinary individuals who are passionate about changing the world of personalized medicine, and eager to shape the future of Causalis.
Please contact us with CV/resume at hello@causalis.ai.
Data Science
We're looking for an experienced data scientist to join as one of the first members of the data science team, with the skills to take ownership from idea through implementation and deployment. You will been gaged in the early data exploration phase, health data engineering, development of causal models and other ML methods, evaluation techniques, and eventually product integration and follow-ups -- the essential challenges to make Causalis deliver ML solutions.
How you’ll contribute:
- Apply state-of-the-art methods in health research to improve and validate our ML and datascience capabilities
- Define, design, and execute data engineering and ML tasks with a high bar for quality androbustness
- Collaborate with infrastructure engineers to design and implement data pipelines end-to-endwith complex data types to fuel ML experiments
- Work with internal and external domain experts to define and execute the needed solutions in healthcare
Our ideal candidate will bring:
- 4+ years of experience working as a data scientist
- Strong experience with ML and data science in research and production environments (ideallywith causal inference methods)
- Strong Python skills
- Excellent communication skills and ability to work with technical and non-technical partners from many teams
Nice to have:
- Experience working in the healthcare industry
- Deep knowledge of data-driven research in healthcare
- MS/PhD in a relevant engineering or science field
- Experience with ML explainability methods
- Strong experience with NLP
- Experience with imaging data
- Experience with genetic data
