"Post-Doctoral Associate - Clinical Pharmacogenomics"

About the Job

Work Arrangement:
· The position is expected to work remotely more than 50% of the time. Your dedicated office space will be in your remote work location.
· The Department retains the right to modify flexible work arrangement agreements on a temporary or permanent basis for any reason at any time.

Job Overview
The Department of Laboratory Medicine and Pathology at the University of Minnesota Medical School invites applications for a talented and motivated Post-Doctoral Associate to join our cutting-edge pharmacogenomics (PGx) research team. This is a unique opportunity to work at the intersection of genomics, clinical data, and patient care, directly contributing to the advancement of personalized medicine.

Our lab's mission is to integrate pharmacogenomic insights into the clinical management of patients, particularly those with inherited cancer and others undergoing whole-genome sequencing (WGS). You will play a pivotal role in analyzing PGx data from our Molecular Diagnostic Laboratory to identify and characterize clinically actionable drug-gene pairs, ultimately helping to optimize treatment and improve patient outcomes.

Working with guidance from the Principal Investigator, you will operate with a high degree of independence, leading daily research activities and collaborating with a world-class network of partners, including the Minnesota Supercomputer Institute (MSI), the Institute for Health Informatics, and the College of Pharmacy. If you are passionate about translational research and have a strong background in bioinformatics and large-scale data analysis, we encourage you to apply.

Key Responsibilities

Research Leadership & Data Analysis (80%)
● 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).

Project Management & Collaboration (20%)
● 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.

All required qualifications must be documented on your application materials.
Required Qualifications
● 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 Qualifications
● 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.

Pay and Benefits

Pay Range: $ 62,232 - 75,564 ; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

• 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

How To Apply

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.