Senior Data ScientistPhaseV (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.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.Key Responsibilities:Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trialsCollaborate with senior data scientists to develop and improve our analytical platformsWork alongside clinical and biological experts to translate complex problems into technical solutionsConduct rigorous statistical analyses of both randomized and observational dataDevelop and validate methods for responder identification and treatment effect estimationDocument and present methodologies and results for internal and external stakeholdersWork cross-functionally with engineering and product teamsContribute to technical discussions and peer code reviewsSupport the preparation of technical documentation and research papersQualifications:Master's in Computer Science, Statistics, Data Science, Engineering or a related fieldPh.D. is an advantage but not required3+ years of experience in data science or machine learning rolesExperience with ML in a practical research or industry settingBackground in statistical modeling and analysisStrong programming skills in Python (R in addition - an advantage)Proficiency in statistical analysis and machine learningExperience with data visualization and communication of technical conceptsStrong analytical and problem-solving skillsFamiliarity with causal inference conceptsExperience in healthcare or biotech industryExperience with large-scale data processingWhat 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.