phasevtrials.com
We are seeking a Biostatistics Research 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. filtering 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 be supported.
What We Offer
Join us on a mission to change the world kohe the better.
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.
Competitive compensation and equity participation
Comprehensive benefits, 401(k) match, and flexible hybrid culture
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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 be supported.
What We Offer
Join us on a mission to change the world kohe the better.
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.
Competitive compensation and equity participation
Comprehensive benefits, 401(k) match, and flexible hybrid culture
#J-18808-Ljbffr