Senior Data Scientist: Causal ML for Clinical Trials

PhaseV; Cambridge (MA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Professional growth and development opportunities

Dynamic startup environment

Collaborative team

Real-world impact

Job summary

PhaseV, a cutting-edge startup in Cambridge, is seeking a talented Data Scientist to join their research team. The role focuses on implementing and optimizing machine learning algorithms in the context of clinical trials and requires a solid foundation in statistics and a minimum of 3 years' experience in data science. Candidates should possess strong programming skills in Python, with familiarity in causal inference as a preferred background. The position offers a collaborative environment and opportunities for professional growth.

Qualifications

• 3+ years of experience in data science or machine learning roles.
• Experience with ML in a practical research or industry setting.
• Strong programming skills in Python (R is a plus).

Responsibilities

• Implement and optimize ML algorithms for causal ML applications.
• Conduct rigorous statistical analyses of both randomized and observational data.
• Document and present methodologies and results.

Skills

Machine Learning

Statistical Analysis

Python

Data Visualization

Causal Inference

Education

Master's in Computer Science, Statistics, Data Science, Engineering or a related field

Ph.D. in a related field

Job description

PhaseV, a cutting-edge startup in Cambridge, is seeking a talented Data Scientist to join their research team. The role focuses on implementing and optimizing machine learning algorithms in the context of clinical trials and requires a solid foundation in statistics and a minimum of 3 years' experience in data science. Candidates should possess strong programming skills in Python, with familiarity in causal inference as a preferred background. The position offers a collaborative environment and opportunities for professional growth.