Statistical Innovation Lead

Bayer

Pinkenba, Australia
Base: £90,000 - £100,000 py; bonus/equity: annual ...
On-site
Advanced statistical methodology
Novel study designs
Bayesian methods
Bayer is seeking a Statistical Innovation Lead in Pinkenba, Australia, to optimize clinical trial designs and data analytics through advanced statistical methodologies. The ideal candidate will have significant experience in the pharmaceutical industry, with expertise in innovative statistical methods, particularly Bayesian approaches

Job Summary

  • The Statistical Innovation Lead will leverage advanced statistical methodology to optimize clinical trial designs and data analytics across different stages of drug development.
  • The incumbent will innovate through the development and application of novel study designs, advanced modelling and simulation techniques including Bayesian methods and predictive analytics and implement effective strategies to improve end-to-end efficiencies during drug development.
  • Competitive compensation package consisting of an attractive base salary and annual company bonus, mobility allowance / car benefit, and 28 days annual leave plus bank holidays.

Matching Summary

Match Score: 85

Bayer is seeking a Statistical Innovation Lead in Pinkenba, Australia, to optimize clinical trial designs and data analytics through advanced statistical methodologies. The ideal candidate will have significant experience in the pharmaceutical industry, with expertise in innovative statistical methods, particularly Bayesian approaches.

Salary

Base: £90,000 - £100,000 pa; Bonus/Equity: annual company bonus; Benefits: Mobility allowance / car benefit, Private Healthcare, generous pension scheme, Life Insurance, Wellness programs, Employee discount scheme

Skills & Requirements

Must-have

  • advanced statistical methodology
  • novel study designs
  • Bayesian methods
  • predictive analytics
  • clinical trial optimization
  • drug development lifecycle

Nice-to-have

  • Visionary/Architect/Catalyst/Coach behaviors
  • external network professional societies
  • knowledge sharing implementation
  • agile data-driven decision-making

Key Requirements

  • PhD preferred in Biostatistics, Statistics or Mathematics
  • Significant experience in pharma, biotech or similar sector
  • Expertise in adaptive designs
  • Knowledge of SAS, R, Python, BUGS, JAGS, Stan
  • Experience building RShiny applications
  • Demonstrated leadership skills

Work Rights

Not specified

Tailored Resume

Cover Letter