Statistical Analyst – Modeling and Meta-Analysis

Reports to Senior Statistical Consultant Modeling and Meta-Analysis

Job Summary

As a Statistical Analyst at OPEN Health, you will be an essential contributor to our team, working across a range of projects with ownership of specific deliverables and timelines. The ideal candidate is enthusiastic, drawn to a career in statistics applied to a healthcare setting and seeks practical work in a fast paced, multi-disciplinary, international organization. In addition, the ideal candidate should have an affinity with, and proven experience in, statistical or health economic modelling, including a good level of knowledge with R.

Essential Duties & Responsibilities

• Undertaking statistical and health economic research tasks, with support and guidance from senior consultants, by carrying out analyses including:
  • Survival analysis, including flexible and innovative methods
  • Analysis on patient reported outcomes measures from clinical trials (utility analysis)
  • Fitting bespoke statistical models onto clinical trial level data to aid extrapolation into the future and provide parameter estimates for economic models
• Engaging in evidence synthesis projects such as:
  • Pairwise meta-analysis and Bucher indirect treatment comparisons
  • Bayesian network meta-analysis, including non-proportional hazard methods and meta-regression
  • Population-adjusted indirect treatment comparisons, including matching-adjusted indirect comparison, simulated treatment comparison, and multi-level network meta-regression
  • Analysis of surrogate endpoints
• Identifying and developing statistical methodologies and strategies in partnership with project teams and independently
• Assisting and developing in the production and internal dissemination of statistical code for standard analysis
• Drafting project reports and other deliverables
• Adhering to project budgets and timelines
• Supporting client interactions and outreach to ensure exceptional client satisfaction
• Responding to requests for proposals as directed

Experience, Skills, and Qualifications

• Master's Degree or PhD in (either MSc, MMATH, or equivalent) in a statistical or mathematical subject.
• Proven programming skills in R.  Experience with building packages, version control, RMarkdown, Shiny and STAN would be an advantage
• Knowledge of health economic modeling would be an advantage
• Intellectual curiosity and independence, to include the ability to self-start and self-teach
• Excellent communication skills (both written and verbal) along with the ability to question the status quo
• Ability to clearly communicate complex statistical methods to other team members and external stakeholders
• Proactive, responsive and able to balance shifting priorities
• Team player, but also able to work independently
• Strong organizational skills and attention to detail