Senior Data Scientist

phasevtrials.com; Boston (MA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Professional growth and development opportunities

Collaborative and dynamic startup environment

Job summary

Phasevtrials.com is seeking a talented Data Scientist to enhance our clinical trial research team. The ideal candidate will implement machine learning algorithms, conduct statistical analyses, and collaborate with medical experts. With a foundation in statistics and a love for causal inference, you will help optimize our analytical platforms.

We offer a dynamic startup environment, focusing on impactful drug development and professional growth opportunities. A master's degree and extensive experience in data science are essential.

Qualifications

• 3+ years of experience in data science or machine learning roles.
• Experience with ML in a practical research or industry setting.
• Strong background in statistical modeling and analysis.

Responsibilities

• Implement and optimize ML algorithms focused on causal ML in clinical trials.
• Conduct rigorous statistical analyses of data.
• Collaborate cross-functionally with engineering and product teams.

Skills

Machine Learning

Statistical Analysis

Python

Data Visualization

Problem-Solving

Education

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

Ph.D. (advantage but not required)

Job description

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.