Unknown Company

Senior Director, Biostatistics

cambridge, ma • Posted 1 weeks ago
Remote Full Time Biology

Responsibilities

  • acting as the statistical lead for one program or multiple programs
  • providing technical leadership and statistical support on the design, conduct and execution of the clinical studies
  • oversight of the statistics and programming team through an outsourced model
  • partnering closely with the cross-functional teams and providing expert biostatistics input on development plans, regulatory interactions, and study design
  • authoring/review of statistics section in the protocol, sample size determination, authoring/review of statistical analysis plan and mock TFL, reviewing study randomization files, ADaM specs, CRF design, DMC charter
  • analyzing and interpreting the clinical study results, and ensuring statistical integrity

Requirements

  • PhD in statistics strongly preferred; Candidates with MS in statistics, biostatistics or mathematics and a depth of relevant experience in drug development statistical research will be considered
  • A minimum of 8 years’ experience in progressive and relevant clinical trial experience
  • Experience leading teams and working in a matrix organization
  • Experience with blinded study designs and analyzing and interpreting patient reported outcome (PRO) data sets strongly preferred
  • Ability to communicate and work directly with non-statisticians imparting and delivering complex statistical information to scientific development partners and researchers
  • Excellent communication with an ability to present to a variety of stakeholders and tailor message accordingly
  • Experience managing CROs and other data vendors
  • Strong leader with a growth mindset, willing to learn from others, and dedicated to promoting a collaborative work culture
  • Ability to keep pace in a fast-moving organization and navigate ambiguity
  • Advanced knowledge of statistical methods in clinical study designs (adaptive, Bayesian), statistical analysis methods including Bayesian method, missing data imputation, multiplicity adjustment
  • Knowledge and proficiency in SAS or R and other industry computational toolsKnowledge of CDISC standard including SDTM, ADaM
  • Knowledge of ICH guidelines, FDA / EMA / other regulatory authority guidance
  • Experience in planning, running and documenting simulations, including clinical trial simulations
  • Experience working on site and with remote teams
  • Ability and willingness to travel up to 10% or as needed by the business

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