Senior Director of Biostatistics

L
Lindus TherapeuticsBiopharma
Location: US; Workplace: RemoteFull-TimeDirector
Salary not disclosed
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Job Details

Experience
10+ years' relevant pharma/biotech experience with a PhD, or 15+ years with an MS
Required Skills
R

Requirements

  • PhD in statistics or biostatistics with 10+ years of relevant pharma/biotech experience, or an MS with 15+ years.
  • Lead statistician experience across multiple early-phase programmes, including at least one programme through CSR.
  • Experience interacting personally with health authorities on multiple programmes, including formal meetings and written correspondence; FDA preferred and EMA also considered.
  • Experience with adaptive trial design.
  • Experience setting statistical strategy at programme or portfolio level.
  • Strong knowledge of CDISC standards, regulatory submission requirements, and current drug development trends.
  • Strong programming skills, including the ability to independently generate analysis output.
  • R and/or SAS fluency preferred; familiarity with applying AI/ML tools to statistical workflows is a plus.
  • Experience evaluating external clinical data through due diligence, licensing, or M&A activity is strongly preferred.
  • Track record of hiring, managing, and developing statisticians; experience building or scaling a biostatistics function is preferred.
  • Ability to contribute hands-on as well as lead, with written and verbal communication skills across executive, technical, and non-technical audiences.

Responsibilities

  • Set statistical strategy across the growing portfolio and lead the biostatistics, statistical programming, and medical writing functions.
  • Set team priorities, ways of working, hiring plans, and SOPs.
  • Lead statistics on active and incoming programmes from protocol development through database lock and clinical study report.
  • Author and review SAPs, sample size and power calculations, and randomisation schemes.
  • Review statistical output at key milestones, including interim analyses and DSMB packages.
  • Represent the statistical function in regulator meetings, briefing documents, and responses to health authority queries.
  • Author and review statistical sections of regulatory submissions, including IND and NDA filings.
  • Assess clinical data packages for in-licensing targets, including trial design, endpoint selection, and strength of signal.
  • Oversee statistical programming deliverables and medical writing output for CSRs and submissions.
  • Evaluate external CRO/FSP partnerships and identify useful applications of AI and machine learning in statistical workflows.
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