Senior Scientist, Biostatistics

Jobtailor

Beerse

Sur place

EUR 60 000 - 80 000

Plein temps

14 jours+

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Résumé du poste

Jobtailor is seeking a statistics-focused professional to support the design and analysis of study data in drug discovery, applying an analytical mindset to translational biomarker studies.

The role emphasizes collaboration across cross-functional teams, clear reporting, and ongoing learning of the relevant science in a dynamic research environment.

Qualifications

  • PhD in Statistics or related field with 0–2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience.
  • Excellent analytical and communication skills are required.
  • Fluency in English is required.
  • Proficiency in R programming is required.
  • Knowledge of experimental design, (non)-linear mixed effect models, multivariate analyses, predictive modelling and modern visualization methods.
  • Eagerness to continuously learn about the underlying science and to expand statistical and computing expertise.
  • Ability to work autonomously and within a team environment.

Responsabilités

  • Support the design and analysis of in-vivo and in-vitro studies
  • Provide bio-analytical validation experiments and translational biomarker studies
  • Contribute to informed decisions in drug discovery through analytical mindset, analysis skills, and experimental design suggestions
  • Report and communicate evidence clearly
  • Collaborate within cross-functional teams and with external contractors
  • Participate in scientific activities in the local professional community

Connaissances

Excellent analytical skills
Excellent written and oral comms
Fluency in English
R programming
Experimental design
Mixed effects models
Data visualization
Lifelong learning
Autonomous work style
Team collaboration

Formation

PhD in Statistics or related field
Master's in Statistics or related field

Outils

R programming

Description du poste

Responsibilities

  • Support the design and analysis of in-vivo and in-vitro studies
  • Provide bio-analytical validation experiments and translational biomarker studies
  • Contribute to informed decisions in drug discovery through applying analytical mindset, analysis skills, and experimental design suggestions
  • Report and communicate evidence clearly
  • Collaborate within cross-functional teams and with external contractors
  • Participate in scientific activities in the local professional community

Requirements

  • PhD in Statistics or related field with minimum 0-2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience
  • Excellent analytical skills
  • Excellent written and oral communication skills
  • Fluency in English
  • Proficiency in R programming
  • Knowledge of experimental design, (non)-linear mixed effect models, multivariate analyses, predictive modelling and expertise in modern visualization methods
  • Eagerness to continuously learn about the relevant underlying science and to expand statistical and computing expertise.
  • Ability to work autonomously and within a team environment

Core Competencies

Demonstrates expertise in statistical analysis and experimental design, with proficiency in R programming and a strong ability to communicate complex findings clearly. Collaborates effectively within cross-functional teams while contributing to drug discovery and biomarker studies.

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