Lead Statistician HEOR

Work Schedule: Standard (Mon-Fri)

Environmental Conditions: Office

About the role

The Lead Statistician works with multi-disciplinary research teams to provide methodological expertise, leadership, and strategic support at all stages of projects from planning to completion. This individual provides guidance to junior and middle-level staff or works independently on projects requiring advanced statistical analysis, interpretation, and dissemination of findings.

Responsibilities

• Statistical Analysis Plan (SAP) Development
  • Draft SAPs for projects that require the use of advanced statistical methodologies
  • Advise junior and middle-level staff on methodology and approach for projects requiring standard statistical methodologies
  • Review and approve SAPs for projects that require the use of standard statistical methodologies
• Implementation & Interpretation of Analyses
  • Serve as Project Lead (including execution of analyses) on projects requiring advanced statistical methodologies
  • Provide guidance and advice to junior and mid-level staff on projects requiring standard statistical methodologies
• Proposal Writing and Report Preparation
  • Lead proposal development for familiar project types or take a supportive role for more complex projects
  • Determine technical approach, review proposal drafts, and take responsibility for statistical components
  • Engage in client discussions to obtain significant levels of repeat business
  • Lead technical responses to requests for proposals, generate repeat work, and amendments
  • Identify opportunities for new work
  • Advise and peer-review budgets
• Communication with Internal/External Clients
  • Lead meetings and discussions with clients
  • Act as an escalation point for client concerns related to the project
  • Communicate effectively and proactively with project teams
  • Delegate to junior and mid-level staff, ensuring deliverable quality and integrity
  • Review and support presentations by more junior staff
• Consulting Expectations
  • Provide on-the-spot problem-solving and consulting in discussions of results
  • Provide methodological expertise within and outside the team
• Methodological Development
  • Contribute to the conceptualization and development of novel/bespoke solutions to meet client project needs
  • Independently investigate the properties, applicability, and advantages/disadvantages of:
    • Methodologies developed by Evidera as bespoke solutions to client projects
    • Newly published methodologies (seeking senior input when needed)
  • Lead the development of parts of tools/macros that improve efficiency of project execution (seeking senior input when needed)
  • Provide technical training on tools developed within HEMA
• Scientific Presence
  • Develop and implement best scientific practices/guidelines, product development/new methods, or deliverable standards
  • Support external thought leadership through publications and workshops
  • Look for opportunities to disseminate knowledge
• Financial and Managerial
  • Responsible for achieving utilization, proposal, and sales targets
  • Supervise and mentor junior and middle-level staff, including involvement in hiring, development, and performance reviews

Requirements

• PhD in Biostatistics/Statistics or related field with 4+ years of experience, MSc in Biostatistics/Statistics or related field with 6+ years of experience, or BSc in Biostatistics/Statistics or related field with 8+ years of experience
• Strong foundation in fundamental statistical concepts and methods, including:
  • Regression analysis (continuous, binary, count data)
  • Longitudinal data analysis (mixed effects linear regression)
  • Parametric and semi-parametric survival analysis
  • Meta-analysis and indirect treatment comparisons
  • Issues related to missing data
• Practical experience in standard statistical applications in health economics, such as:
  • Standard parametric and semi-parametric survival analyses
  • Flexible parametric models (spline, piecewise)
  • ITC methods (Bucher, network meta-analyses [NMA], matching-adjusted indirect comparisons [MAICs], simulated treatment comparisons)
  • Country-specific utility analyses to inform CEMs
• Familiarity with complex methods, including:
  • Projecting incomplete survival data using Bayesian parametric survival models with informative priors
  • Adjustment for treatment switching (rank preserving structural failure time, inverse probability of censoring weighting, two-stage estimation)
  • Mixture cure models and multi-state models
  • Multilevel network meta-regression and fractional polynomial NMA
  • Surrogacy analyses
• Strong statistical programming skills with standard software, including R and/or STATA/SAS
• Ability to communicate analysis plans and results to clients or colleagues with limited statistical background
• Scientific visibility through authorship of peer-reviewed publications, podium presentations, and conference posters
• Leading development and deployment of technology solutions for automation or AI-enablement in statistics and health economics/market access (an asset)
• Able to communicate, receive, and understand information and ideas with diverse groups of people comprehensibly and reasonably
• Able to work upright and stationary for typical working hours
• Ability to use and learn standard office equipment and technology proficiently
• Able to perform successfully under pressure while prioritizing and handling multiple projects or activities
• May require travel (details to be provided by recruiter)

Benefits

• Comprehensive medical, dental, and vision plans, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, and paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave)
• Accident, life, short-term, and long-term disability insurance
• Retirement and savings programs, including a competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) with the opportunity to purchase company stock at a discount

Pay

The salary range for this position based in Maryland is $185,000.00–$200,000.00. This position may also be eligible for a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.