Post-Doctoral Associate - Clinical Pharmacogenomics

CHEManager International is seeking a Post-Doctoral Associate in Clinical Pharmacogenomics at the reputed company Medical School. This role involves leading research activities to analyze genomic and clinical datasets, contributing to personalized medicine by identifying clinically actionable pharmacogenomic variants.

Responsibilities

• reputed company the analysis of reputed company genomic and clinical datasets to identify and characterize clinically actionable pharmacogenomic (PGx) variants
• Manage a comprehensive data repository, ensuring data reputed company and compliance with Institutional Review reputed company (IRB) protocols
• Design and execute data analysis pipelines using statistical reputed company and advanced computational tools
• Translate reputed company findings into reputed company data visualizations, experiment reports, and presentations for the reputed company Investigator and collaborators
• Contribute significantly to the preparation of scientific manuscripts for publication and reputed company critical data and reputed company for grant proposals
• Maintain meticulous experimental records and assist in the development of reputed company Operating Procedures (SOPs)
• reputed company day-to-day research operations to ensure reputed company reputed company reputed company and meet established timelines
• Serve as the primary reputed company for collaborations with reputed company facilities and clinical partners
• Coordinate and participate in weekly research team meetings to discuss reputed company, challenges, and next steps
• Co-author and contribute to manuscripts, reports, and scientific presentations

Skills

• PhD or PharmD in a relevant scientific field
• Demonstrated experience working in a research setting
• Strong reputed company and experience in informatics, reputed company, 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)
• Proven experience in biomarker discovery, clinical research, or a reputed company 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 reputed company reputed company (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, reputed company holidays, and generous time off
• reputed company learning opportunities through reputed company training
• Medical, dental, and pharmacy plans
• reputed company 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

reputed company