QuantHealth is an AI startup supporting drug development and clinical trials. Our ground-breaking clinical trial simulator can run thousands of trials in parallel to de-risk and optimize upcoming clinical trials. Our solution, based on a huge dataset of 350M patients and 100K drugs, drastically reduces drug development costs, shortens development timelines. We are venture backed, based in Israel, and have reputable pharma customers in both Europe and the US. This is a fantastic opportunity for a data scientist who wants to join a fast-growing startup and tackle complex challenges.  

The Role: 
We are looking for an Associate Data Scientist  to join our Enrollment Prediction team. You’ll work on strategic R&D projects that directly impact customer deliverables and product capabilities. This is a rare opportunity to join a small, high-impact team where your work will influence both scientific and business outcomes. 

What You’ll Work On: 

• Assist in developing explainability tools for enrollment models, helping customers understand key drivers of recruitment. 

• Support dynamic reforecasting capabilities that update predictions as trials progress. 

• Integrate external datasets (epidemiology, regulatory, site capacity) to enrich predictions. 

• Conduct exploratory data analysis, model evaluation, and documentation. 

What We’re Looking For: 

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Life Sciences, Engineering, or a related quantitative field. 

• Strong programming skills in Python (Pandas, NumPy, Scikit-learn, Matplotlib). 

• Experience with SQL and data wrangling in large datasets. 

• Experience with version control systems such as Git.  

• Curiosity about healthcare, clinical research, or life sciences. 

• Analytical and problem-solving skills. 

• Strong communication skills and ability to work cross-functionally. 

• Bonus: background in biology, public health, epidemiology, operations research, or similar domain. 

Why Join Us: 

• Work on projects that directly shape our flagship product and customer value. 

• Learn cutting-edge techniques in predictive modeling, optimization, and healthcare data science. 

• Opportunity to grow into a specialized role in either data science or domain leadership.