The Applied Statistics Staff Scientist position at Penn State's Golf Courses is focused on supporting interdisciplinary research in molecular and cellular sciences through statistical methods. The role requires a strong background in statistics, proficiency in R and/or Python, and experience with complex biological datasets. Candidates are expected to work on-site at University Park, Pennsylvania, with a minimum of three days a week in-office
Job Summary
This position is dedicated to advancing the collaborative research of the Center’s Working Groups, integrating diverse datasets to pursue fundamental questions in the life sciences.
Applied Statistics Staff Scientists play a supporting role in enabling the research efforts of multidisciplinary scientific teams, typically contributing to 2-3 projects simultaneously.
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being, including a generous 75% tuition discount.
Matching Summary
Match Score: 85
The Applied Statistics Staff Scientist position at Penn State's Golf Courses is focused on supporting interdisciplinary research in molecular and cellular sciences through statistical methods. The role requires a strong background in statistics, proficiency in R and/or Python, and experience with complex biological datasets. Candidates are expected to work on-site at University Park, Pennsylvania, with a minimum of three days a week in-office.
Salary
$61,800.00 - $89,600.00
Skills & Requirements
Must-have
statistical approaches for integrating data
inferential statistics and hypothesis testing
statistical models for diverse data types
collaboration with scientific teams
R and/or Python proficiency
Nice-to-have
advancements in bioinformatics
computational biology expertise
ethical conduct and research integrity
interpersonal and written communication skills
Key Requirements
M.S. or PhD preferred
1+ years of relevant experience
Demonstrated experience with statistical foundations
Experience with complex molecular and cellular datasets