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August 21, 2025

**Job Description**
This position supports a project focused on integrating high-dimensional multi-omics data, such as genomic and proteomic information, to investigate molecular relationships underlying schizophrenia. The role involves data processing, statistical analysis, and method development within a research team.

**Skills & Abilities**
• Proficiency in R programming, including modifying and developing statistical code.
• Familiarity with multivariate methods such as canonical correlation analysis.
• Skills in accurate documentation, literature review, and communication within a team.
• Flexibility, excellence, and passion.
• Consideration, collaboration, and cultural sensitivity.
• Ability to optimally interact with a varied population of internal and external partners at a high level of integrity.

**Qualifications**
Required Degree(s) in:
• Associate’s Degree or equivalent experience; Bachelor’s Degree Preferred (e.g., in Statistics, Data Science, Bioinformatics, or a related Biological Science field)

**Experience**
Experience Required:
• In managing and analyzing large, high-dimensional datasets, particularly multi-omics or other complex biological data.
Other:
• Successful background check investigation.

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Experience
Experience Required: • In managing and analyzing large, high-dimensional datasets, particularly multi-omics or other complex biological data. Other: • Successful background check investigation.
Work Level
See Details
Employment Type
Full-time, Research Job, Temporary
Salary
Position Classification: Staff - Fixed Term Benefits: Comprehensive medical, prescription, dental, and vision insurance; generous retirement savings program with employer contributions; tuition benefits; ample paid time off and observed holidays; life and accidental death and disability insurance; free Pittsburgh Regional Transit bus pass; access to Family Concierge Team for childcare needs; fitness center access.
Details
Full-time / Temporary Duration: Fixed Term Brief location description if available, e.g., Campus-based
School / Department / Center / Lab
• Department of Statistics & Data Sciences
Supervisor Email
See Details
Carnegie Mellon University
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