Senior Data Scientist — Causal ML for Adaptive Trials

PhaseV; Boston (MA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Collaborative startup environment

Professional growth opportunities

Excellent team and impact on trials

Job summary

PhaseV, headquartered in Boston, is seeking a talented Data Scientist to join our research team. You will apply machine learning and causal inference techniques to clinical data, build scalable analytics platforms, and collaborate with clinical and biology experts to translate complex problems into robust solutions.

Ideal candidates have a strong ML foundation, 3+ years in data science, and experience with Python and statistical analysis.

Qualifications

• Master's in Computer Science, Statistics, Data Science, Engineering or related field.
• Ph.D. is an advantage but not required.
• 3+ years of experience in data science or machine learning roles.
• Background in statistical modeling and analysis.

Responsibilities

• Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials.
• Collaborate with senior data scientists to develop and improve analytical platforms.
• Work with clinical and biological experts to translate complex problems into technical solutions.
• Conduct rigorous statistical analyses of randomized and observational data.
• Develop and validate methods for responder identification and treatment effect estimation.
• Document and present methodologies and results for stakeholders.

Skills

Python

Statistical analysis

Machine learning

Data visualization

Communication

Education

Master's in Computer Science

Ph.D. is an advantage

Tools

R

Job description

PhaseV, headquartered in Boston, is seeking a talented Data Scientist to join our research team. You will apply machine learning and causal inference techniques to clinical data, build scalable analytics platforms, and collaborate with clinical and biology experts to translate complex problems into robust solutions.

Ideal candidates have a strong ML foundation, 3+ years in data science, and experience with Python and statistical analysis.