VP/Executive Director in Business Development
Working place:
As strategic partners in drug development, Biostatistics applies drug development and statistical expertise to the design of clinical development plans, clinical studies, and non-clinical experiments. We lead many aspects of clinical trial conduct (e.g., randomization, independent Data Monitoring Committees), analysis and data interpretation.
The Intern partners with senior scientists in biostatistics to develop and maintain an internal statistical modeling and machine learning toolset to facilitate high dimensional data analysis for clinical development projects and research applications. The Intern will be a member of a drug development team. The major responsibilities for the intern will include but not limited to:
Conduct literature reviews, summarize existing methods in reports and presentations
Conduct extensive simulation studies to evaluate existing methods, with emphasis on modeling performances of different methods in clinical trial settings.
Integrate existing tools (e.g. R packages) to build an analysis pipeline
Assist deployment of statistical analyses to improve decision making, support exploratory activities, and contribute to strategic planning in clinical trials
Collaborate in preparation of presentations and publications
Who You Are
Ph.D. student in Statistics, Biostatistics, Computer Sciences, or related quantitative field
Familiar with Machine Learning algorithms and existing Machine Learning tools
Familiar with survival analysis 
Strong R programming skill
Knowledge in parallel programming and version control
Excellent communication and collaboration skills
Ability to drive for results (Demonstrates interest and ability to learn new things, takes initiative, welcomes problems as challenges; finds solutions to technical problems)
Ability to work independently
Candidates must be available part-time (20 hours per week)

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