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PhaseV · 19 hours ago

Biostatistics Researcher

Cambridge, MA

Full-time

Hybrid

Senior Level

PhaseV is a Boston-based technology company that redefines clinical development at scale with its enterprise-ready, multi-modal AI/ML platform. They are seeking a Biostatistics Research Consultant to engage in client-facing consulting and cutting-edge research in statistics and data science for modern clinical trial design and biopharmaceutical development.

Artificial Intelligence (AI)Clinical TrialsPharmaceuticalTherapeutics

No H1B

Responsibilities

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

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

Qualification

PhD in statisticsStatistical modelingRPython programmingBayesian hierarchical modelingMachine learningClinical trials knowledgeShell scriptingHigh performance computingCloud computingCommunicationTeamworkProject management

Required

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

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 be supported