Senior Research Statistician

1 hour, 47 minutes ago
Senior
Data Science and Analytics

Precision AQ

Precision AQ is a life sciences commercialization and healthcare consulting company that helps biopharma companies bring therapies to market and improve patient access. It describes itself as a commercialization partner for biopharma innovators, market access teams, and brand strategists, with expertise spanning access strategy, HEOR, medical communications, market access, data and analytics, branding, investor relations, and omnichannel/product solutions.

Business Consulting and Services
1001-5000

Description

  • Lead statistical analyses for evidence generation, comparative effectiveness research, and healthcare decision-making projects.
  • Design and implement analytical approaches aligned with client objectives and research questions.
  • Conduct analyses and develop reproducible workflows using R.
  • Lead analytical workstreams and contribute to project planning, delivery, and quality assurance.
  • Interpret and communicate complex findings to technical and non-technical audiences.
  • Support HTA, reimbursement, market access, and Joint Clinical Assessment activities.
  • Mentor junior team members and contribute to methodological best practices.
  • Contribute to publications, conference presentations, proposals, and thought leadership activities.

Requirements

  • Master’s degree or PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Data Science, or a related quantitative discipline.
  • Approximately 4 or more years of relevant professional experience.
  • Strong R programming and statistical analysis skills.
  • Experience applying statistical methods in healthcare, life sciences, outcomes research, or evidence generation.
  • Experience planning, conducting, and reporting evidence synthesis and comparative effectiveness analyses.
  • Strong analytical reasoning, problem-solving, communication, and collaboration skills.
  • Knowledge of indirect treatment comparison methods, such as NMA, MAIC, or STC, preferred.
  • Experience with external control arm analyses, survival analysis, time-to-event modelling, utility or health-related quality-of-life analyses, or individual patient-level data preferred.
  • Understanding of Bayesian and/or frequentist methods and familiarity with Python or other programming languages preferred.
  • Candidates must be legally authorized to work in the country of employment without employer sponsorship.

Benefits

  • Remote work opportunity.
  • Opportunity to contribute to scientific publications and conference presentations.
  • Equal opportunity employment and reasonable accommodation support for applicants with disabilities.

Interested in this position?

Apply directly on the company website

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