Senior Data Scientist
About this role
Data scientists who thrive in autonomous startup environments and enjoy navigating ambiguity will find a strong fit at PhaseV. The team builds a proprietary machine learning platform for adaptive clinical trial design and closed-loop execution, collaborating with major pharmaceutical companies to improve the drug development process. Daily work centers on implementing causal machine learning algorithms, analyzing clinical data, and translating complex biological problems into technical solutions alongside research and clinical experts.
What you will do
- Implement and optimize machine learning algorithms with a focus on causal applications in clinical trials.
- Collaborate with senior researchers to develop and improve analytical platforms.
- Work alongside clinical and biological experts to translate complex challenges 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 internal and external stakeholders.
- Contribute to technical discussions, peer code reviews, and the preparation of research papers.
What you need
- Hold a Master's degree in Computer Science, Statistics, Data Science, Engineering, or a related field.
- Bring at least three years of professional experience in data science or machine learning roles.
- Demonstrate practical research or industry experience with machine learning applications.
- Possess a strong background in statistical modeling and analysis.
- Show work experience within a biotechnology or life sciences environment.
- Demonstrate strong programming skills in Python with the ability to communicate technical concepts clearly.
Nice to have
- Ph.D. in a related field
- Experience with R programming
- Familiarity with causal inference concepts
- Experience with large-scale data processing
Skills and tech stack
Questions candidates ask
Where is the team located?
The company has its headquarters in Boston and research and development in Tel Aviv, with an office located at One Broadway in Cambridge, Massachusetts.
Who does the team collaborate with?
The team collaborates with seven of the top pharmaceutical companies, as well as multiple contract research organizations and biotech firms.
What kind of technical challenges will I work on?
You will tackle problems related to causal responder detection and robust conditional average treatment effect estimation using novel ensemble methods.
Will I have client-facing responsibilities?
Yes, this is an integral role on the team that includes the opportunity to interface with clients directly and present results to external stakeholders.