"Bioinformatics Analyst I - Nephrology (CPMG)"

Job Details

• Job Type: Officer of Administration
• Regular/Temporary: Regular
• Hours Per Week: 35
• Salary Range: $66,300 - $70,000

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Summary

We are seeking a dynamic and motivated individual to join our research team in exploring genetic and molecular variations within precision medicine. At the Center for Precision Medicine and Genomics (CPMG), our mission is to enhance disease prevention, diagnosis, and treatment through cutting-edge research. We are dedicated to integrating personalized medicine into clinical practice and establishing genetic medicine as a standard of care.

The ideal candidate will be an integral part of a cohesive team composed of clinicians, research scientists, and genetic counselors, all working collaboratively on transformative projects. This role offers an engaging, interdisciplinary environment with opportunities to learn the fundamentals of genomics and precision medicine.

Responsibilities

• Collaborate with faculty and a team of genome analysts to analyze and interpret sequence data.
• Support research studies through bioinformatics and statistical analyses, including the implementation of computational models, database management, and the use of various statistical packages.
• Contribute to the development of new platforms and solutions for large-scale integrative analysis of genomic data.
• Assist in the evaluation and implementation of new pipelines and methods for analyzing next-generation sequencing (NGS) datasets.
• Perform other related duties as necessary.

Minimum Qualifications

• Bachelor’s degree in a STEM discipline or equivalent education, training, and experience, plus two years of related experience.
• Demonstrated problem-solving skills.
• Ability to work effectively within a team.
• Strong organizational and communication skills.
• Willingness and initiative to learn and adopt novel tools, methods, and technologies in a rapidly evolving field.

Preferred Qualifications

• Strong programming skills (e.g., Python, Java, R) and experience in *NIX environments.
• Solid understanding of genetics, bioinformatics, and statistics as applied to NGS datasets.
• Experience in analyzing large NGS datasets.
• Proven problem-solving abilities and strong organizational and communication skills, with a desire and capability to work effectively in a team environment.

Other Requirements

• Successful completion of applicable compliance and systems training requirements.