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Manager Biostatistics
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Manager Biostatistic....
drjobs Manager Biostatistics العربية

Manager Biostatistics

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1 Vacancy
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Job Location

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Cambridge - UK

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2845522

POSITION SUMMARY

You will represent Biostatistics on crossfunctional teams to provide effective statistical consultation with scientists and toxicologists. You will collaborate with scientific colleagues across a diverse set of disciplines in DSRD on the design analysis and interpretation of nonclinical safety studies. You will be part of a team of nonclinical statisticians within Pfizers Global Biometrics and Data Management organization. There is no management of people in this role.

KEY RESPONSIBILITIES

  • Ensure and implement statistically sound approaches for the design analysis reporting and interpretation of exploratory regulatory and investigative nonclinical safety studies.
  • Provide critical experimental design input for in vivo and in vitro studies.
  • Develop automated statistical solutions to increase the efficiency of DSRD study conduct and reporting.
  • Partner with other data science / computational groups to identify optimal solutions to scientific problems.
  • Develop and deliver statistical training to scientists.
  • Promote an effective Statistical network with other Pfizer statisticians.
  • Promote statistical excellence and influence for all DSRD projects and products.


MINIMUM QUALIFICATIONS

  1. M.S. in Statistics or Biostatistics with minimum 2 years experience in an applied statistics setting or Ph.D. in Statistics or a comparable quantitative field.
  2. Programming in R (2 years)


PREFERRED QUALIIFICATIONS

  • Strong written and verbal communication skills.
  • Demonstrated ability to work effectively as a part of an interdisciplinary team.
  • Strong knowledge in general linear models experimental design probability categorical data analysis and Bayesian analysis
  • Experience analyzing highdimensional data; familiarity with machine learning methods
  • R Shinyapp programming experience
  • Proficiency with other statistical software (e.g. SAS JMP and GraphPad Prism)
  • Familiarity with version control and collaborative programming (e.g. Git)
  • Strong scientific background with good working knowledge of biology chemistry pharmacology or toxicology.

Please use the below link for job application and quicker response.


Remote Work :

No

Employment Type

Full Time

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