Biostatistics Researcher

PhaseV is a Boston-based technology company that redefines clinical development at scale with its enterprise-ready, multi-modal AI/ML platform — accelerating decisions, de-risking trials, and driving more efficient portfolio strategies. With over $65M raised from Accel, Insight, and others, we are poised to make a significant impact on how drugs are developed and brought to market. We are seeking a BiostatisticsResearch Consultant in the US. This role would have a dual mission of client-facing consulting and cutting-edge research in statistics, data science, causal inference, machine learning for modern clinical trial design and biopharmaceutical development. This position would report to Dr. Brad Carlin, head of Statistics at PhaseV. Primary job responsibilities will include:Consulting: Be part of a team working on client-specific projects in trial design and data analysis, including development of code and client-facing interaction Support real-time clinical trial implementation as requested by clients or CROs less familiar with Bayesian and other modern statistical approaches Write and co-present final reports in both oral and written form Research: Support the development of research papers for statistical, machine learning, and medical journals on modern methodological approaches relevant to the company’s interests and computing platform development, as well as applied papers growing out of consulting projects or conference interactions Support submission and revision of these papers for publication in refereed journals Attend and give presentations about these research projects at national and international conferences and other meetings as requested Job requirements:   PhD in statistics, biostatistics, machine learning, or a related field Excellent written and verbal English communication skills  Proven ability to work both independently and in a team environment  Proven ability to prioritize and balance multiple tasks  Broad knowledge of statistical modeling is required, including all standard methods in Bayesian hierarchical modeling and computing, methods for longitudinal and time-to-event data, propensity scoring and other standard tools for causal inference, and basic tools for sample size estimation Proficiency in either R or Python programming is required; proficiency in both is preferred; proficiency in SAS programming is a plus  Experience in shell scripting, high performance computing, and cloud computing is preferred  Knowledge of clinical trials and associated regulatory compliance issues is a plus  Experience with leading and managing projects is preferred  Qualified candidates must be legally authorized to be employed in the US Strong preference for candidates who can work on-site (in Cambridge, MA) 2 days per week.   Travel to the home office and some client meetings are expected; statistical and other conference travel to promote the team’s research mission will also...