Senior Scientist Discovery Statistics

Johnson & Johnson UK

Spring House, Pennsylvania, United States
Base: $105,000 - $169,050; bonus/equity: not speci...
Hybrid
Biostatistics
Experimental design
Statistical modelling
The successful candidate will support anti-drug antibody studies, bio-analytical validation experiments, translational biomarker studies, and in vitro and in vivo experiments supporting the immunology portfolio

Job Summary

  • The successful candidate will support anti-drug antibody studies, bio-analytical validation experiments, translational biomarker studies, and in vitro and in vivo experiments supporting the immunology portfolio.
  • You will play a crucial role in bridging the gap from preclinical experiments to first-in-human trials and the use of preclinical information to establish a safe first dose in humans.
  • Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

Matching Summary

The successful candidate will support anti-drug antibody studies, bio-analytical validation experiments, translational biomarker studies, and in vitro and in vivo experiments supporting the immunology portfolio.

Salary

Base: $105,000 - $169,050; Bonus/Equity: Not specified; Benefits: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, group legal insurance, pension, savings plan (401(k)), vacation, sick time, holiday pay, Work, Personal and Family Time

Skills & Requirements

Must-have

  • biostatistics
  • experimental design
  • statistical modelling
  • R programming
  • data analysis
  • drug discovery support

Nice-to-have

  • analytical mindset
  • cross-functional collaboration
  • customer relationship building
  • proactive communication
  • scientific community engagement

Key Requirements

  • PhD in Statistics or related field with minimum 0-2 years relevant experience
  • Master's in Statistics or related field with commensurate years of relevant experience
  • Proficiency in R programming
  • Knowledge of experimental design, (non)-linear mixed models, multivariate analyses, predictive modelling and/or expertise in modern visualization methods

Work Rights

Not specified

Tailored Resume

Cover Letter