CHEManager International · 1 day ago
Post-Doctoral Associate - Clinical Pharmacogenomics
CHEManager International is seeking a Post-Doctoral Associate in Clinical Pharmacogenomics at the University of Minnesota Medical School. This role involves leading research activities to analyze genomic and clinical datasets, contributing to personalized medicine by identifying clinically actionable pharmacogenomic variants.
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Responsibilities
Lead the analysis of complex genomic and clinical datasets to identify and characterize clinically actionable pharmacogenomic (PGx) variants
Manage a comprehensive data repository, ensuring data integrity and compliance with Institutional Review Board (IRB) protocols
Design and execute data analysis pipelines using statistical methods and advanced computational tools
Translate complex findings into clear data visualizations, experiment reports, and presentations for the Principal Investigator and collaborators
Contribute significantly to the preparation of scientific manuscripts for publication and provide critical data and methods for grant proposals
Maintain meticulous experimental records and assist in the development of Standard Operating Procedures (SOPs)
Oversee day-to-day research operations to ensure projects progress efficiently and meet established timelines
Serve as the primary liaison for collaborations with core facilities and clinical partners
Coordinate and participate in weekly research team meetings to discuss progress, challenges, and next steps
Co-author and contribute to manuscripts, reports, and scientific presentations
Qualification
Required
PhD or PharmD in a relevant scientific field
Demonstrated experience working in a research setting
Strong foundation and experience in informatics, bioinformatics, and the analysis of large datasets
Excellent organizational skills, high attention to detail, and the ability to work independently
Superior written and verbal communication skills, with experience in scientific writing (manuscripts, grants, protocols)
Preferred
Proven experience in biomarker discovery, clinical research, or a related translational science environment
Proficiency in coding and advanced data analysis using languages such as R or Python
Experience working with databases using SQL, cleaning and transforming data
Deep understanding of genomic data analysis, including next-generation sequencing (NGS) data
A strong desire and willingness to learn new software and advanced analytical techniques as required by research activities
Substantial experience with manuscript and grant writing
Benefits
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training
Medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and life insurance
Employee wellbeing program
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
Company
CHEManager International
Wiley’s leading media brand providing first-hand information on the global chemical, life science and process industries
Funding
Current Stage
Growth StageCompany data provided by crunchbase