Ophthalmic Biostatistician: Clinical Research & Data

Opportunity for Health

Philadelphia (Philadelphia County)

Hybrid

USD 67,000 - 93,000

Full time

14 days+
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Job summary

The University of Pennsylvania's Perelman School of Medicine in Philadelphia is seeking a Biostatistician to develop and apply statistical methods for life sciences research, including ophthalmic studies.

You will design and analyze multicenter trials, write statistical sections for manuscripts, and collaborate with investigators to ensure rigorous interpretation of results. A Master of Science and 3–5 years of experience are required; funding-dependent.

Qualifications

  • Master of Science and 3 to 5 years of experience or equivalent combination of education and experience is required.

Responsibilities

  • Conduct appropriate statistical analysis, under the supervision of senior biostatisticians, for applications in multicenter clinical trials/studies, medical claims or electronic health record data, as well as single center/laboratory projects in ophthalmic research.
  • Design, test, implement & document statistical computer programming in high-level statistical software packages (SAS, R)
  • Develop short-term project-specific biostatistics design and analysis plans under the supervision of senior biostatisticians
  • Develop, document, and maintain Redcap database and the analytic data files
  • Write summary reports and create graphs for manuscripts and proposals
  • Write and edit statistical methods sections of manuscripts
  • Develop working knowledge of methodologic issues in ophthalmic research
  • Other duties and responsibilities as assigned

Job description

The University of Pennsylvania's Perelman School of Medicine in Philadelphia is seeking a Biostatistician to develop and apply statistical methods for life sciences research, including ophthalmic studies.

You will design and analyze multicenter trials, write statistical sections for manuscripts, and collaborate with investigators to ensure rigorous interpretation of results. A Master of Science and 3–5 years of experience are required; funding-dependent.

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