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# Data Scientist

- **Company:** Phasev Trials Inc.
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Big Data, Computer Programming, Data Visualization, Python (Programming Language), Machine Learning, Information Technology
- **Published:** September 27, 2026
- **Apply:** https://www.juju.com/job/16_a4291270

## About the Role

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. This is an integral role on our team with opportunity to interface with our clients directly. Strong communication skills and the ability to navigate ambiguity with a sense of proactiveness is a must. This position offers autonomy and the ability to make an impact on a growing business., * Master's in Computer Science, Statistics, Data Science, Engineering or a related field

 * Ph.D. is an advantage but not required

Experience:

 * 3+ years of experience in data science or machine learning roles
 * Experience with ML in a practical research or industry setting
 * Background in statistical modeling and analysis
 * Work experience in a biotechnology/life sciences environment

Skills:

 * Strong programming skills in Python (R in addition - an advantage)
 * Proficiency in statistical analysis and machine learning
 * Experience with data visualization and communication of technical concepts
 * Ability to communicate results clearly and effectively
 * Strong analytical and problem-solving skills

Preferred:

 * Familiarity with causal inference concepts
 * Experience with large-scale data processing

## Description

Technical Development:

 * Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
 * Collaborate with senior data scientists to develop and improve our analytical platforms
 * Work alongside clinical and biological experts to translate complex problems into technical solutions

Research & Analysis:

 * Conduct rigorous statistical analyses of both randomized and observational data
 * Develop and validate methods for responder identification and treatment effect estimation
 * Document and present methodologies and results for internal and external stakeholders

Collaboration:

 * Work cross-functionally with engineering, product, and business development teams
 * Contribute to technical discussions and peer code reviews
 * Support the preparation of technical documentation and research papers


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