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. 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.
A couple of recent preprints we've released to get a sense of the challenges:
- Robust CATE Estimation Using Novel Ensemble Methods. (https://arxiv.org/abs/2407.03690)
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
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
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
- 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
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.
