Senior Data Scientist

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

One Broadway, 11th floor, Cambridge, MA 02142, USA

Company Overview:

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting‑edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML‑based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.

Position Overview:

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. A couple of recent preprints we’ve released to get a sense of the challenges:

• Causal Responder Detection (https://arxiv.org/abs/2406.17571)

Key Responsibilities:

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
• Work cross‑functionally with engineering and product teams
• Contribute to technical discussions and peer code reviews
• Support the preparation of technical documentation and research papers

Qualifications:

Education:

• 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

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
• Strong analytical and problem‑solving skills

Preferred:

• Familiarity with causal inference concepts
• Experience in healthcare or biotech industry
• Experience with large‑scale data processing

What We Offer:

• Join us on a mission to bring more effective drugs to more patients.
• The opportunity to work with an amazing team passionate about making a real-world impact.
• Extremely hard and diverse problem setting, in which the team is pushing the envelope.
• A collaborative and dynamic startup environment.
• Professional growth and development opportunities.