Hybrid Translational Science Intern

Posted last month

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About the role

  • Retrieve cleaned and harmonized historical nonclinical toxicology control-group data using SQL
  • Develop and implement statistical analyses to characterize trends in chemical pathology measurements
  • Create reusable data pipelines and code-based workflows (R or Python) for retrospective analyses
  • Compare preclinical control data with published clinical pooled placebo data
  • Collaborate with cross-functional teams including nonclinical drug safety, veterinary pathology, and translational medicine
  • Present research findings in group meetings and prepare a final scientific presentation
  • Potentially contribute to publication of the project results

Requirements

  • Must be a full-time student currently enrolled in a Masters/PhD program in Biostatistics, Bioinformatics, Computational Biology, Engineering, Pharmaceutical Sciences, Toxicology, or related quantitative life science fields
  • Must have a strong background in statistics and quantitative bio-focused research, ideally as demonstrated by a publication or course project
  • Must be proficient in coding with R or Python for data analysis, especially data visualization tools
  • Must have an aptitude for thinking critically and creatively to overcome technical challenges
  • Must possess excellent verbal and written communication skills
  • Must have the ability to work independently and collaboratively in a fast-paced environment
  • Must be enrolled full-time in the Fall Semester at an accredited university/college after the internship
  • Must be able to complete a 10-12 consecutive week internship between May and August

Benefits

  • Professional development opportunities
  • Internship program
  • Networking events
  • Opportunities to participate in special events/programs for interns

Job title

Translational Science Intern

Job type

Experience level

Entry level

Salary

$39,600 - $105,500 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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