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Manager, Biostatistics at Lifelancer

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

M.S. in Statistics/Biostatistics or Ph.D. in Statistics/quantitative field, 2+ years of experience in applied statistics setting, Proficiency in R programming.

Key responsabilities:

  • Design statistical approaches for nonclinical safety studies
  • Provide input for experimental design in studies
  • Develop automated statistical solutions
  • Collaborate with data science groups
  • Deliver statistical training to scientists
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Lifelancer Information Technology & Services Startup https://lifelancer.com/
11 - 50 Employees
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Job description

POSITION SUMMARY

You will represent Biostatistics on cross-functional 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 Pfizer's 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 high-dimensional data; familiarity with machine learning methods
  • R Shiny-app 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.

https://lifelancer.com/jobs/view/9f0cefb12928e89ba2278026b23f3f1a

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills

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