Postdoctoral Research Associate, Department of Translational Neurosciences (College of Medicine-Phx)

Postdoctoral Research Associate, Department of Translational Neurosciences (College of Medicine-Phx) Posting Number req27477 Department COM Phx Translational Neurosci Department Website Link College of Medicine-Phoenix Location Greater Phoenix Area Address 475 N 5th Street, Phoenix, AZ 85004 USA Position Highlights

The Laboratory of Myungjin Lee in the Department of Translational Neurosciences is seeking a highly motivated and enthusiastic Postdoctoral Research Associate to contribute to research projects focused on omics-driven approaches for investigating neurological and sensorineural disorders. As a Postdoctoral Research Associate, you will play a key role in developing and maintaining bioinformatics pipelines for advanced omics data analysis. We are looking for a passionate and dynamic researcher with strong expertise in molecular and cellular biology to advance our research initiatives and enhance computational methodologies.

Ideal candidates should have a PhD in Biology, Neuroscience, Computational Biology, Biostatistics, or a related field, along with a strong interest in neuroscience, molecular biology, and omics-based research. A computational background with experience in R and Python is required. This position is part of a well-funded research program, offering the opportunity to produce high-impact publications and establish a track record in grant-funded research. It provides an excellent foundation for career growth in both data science and independent academic research.

• Visa sponsorship is available for this position.

Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!

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Duties & Responsibilities

• Conduct advanced, multi-disciplinary research in neuroscience and genetics under the direction of the principal investigator.
• Develop, design, perform, and analyze experiments.
• Formulate research methods, develop research criteria. Performs scientific data collections, reductions, and analyses involving routine procedures characterized by use of independent judgment.
• Maintains and creates bioinformatic analyses pipelines, including implementing AI tools, to analyse omics data on a high-computing cluster.
• Participates in data interpretation such as data quality control, variant interpretation and classification.
• Utilize good coding practices including versioning (eg. Github) and writing detailed documentation to document all data analyses pipelines.
• Assist with funding applications by generating preliminary data.
• Derive, analyze, and format data for publications, presentations, and grant proposals.
• Present research findings to the lab at department meetings, and at national and international symposiums.
• Prepare manuscripts for publication in peer-reviewed journals.
• Foster collaborations within the Department and with other units across the University.

Knowledge, Skills & Abilities:

• Excellent analytical skills and commitment to scientific excellence and innovation.
• Knowledge of coordinating experiments, and completing statistics analysis and interpretation.
• Ability to conduct research independently and within a team.
• Ability to communicate professionally in a clear, concise manner orally and in writing.
• Knowledge of grant writing and manuscript preparation.
• Ability to participate at scientific conferences and present findings.

Minimum Qualifications

• PhD in Biology, Neuroscience, Computational Biology, Biostatistics, or a related field.

Preferred Qualifications

• Experience in analyzing next generation sequencing data, such as genetics, transcriptomics, and epigenetic data.
• Comfortable with job submission on a high-computing cluster.
• Effective communication, organization, and documentation skills.
• Excellent troubleshooting skills.
• Track record of publishing papers in peer-reviewed journals.

FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar Fiscal Job Category Research Benefits Eligible Yes - Full Benefits Rate of Pay NIH salary guidelines, Depends on Experience Compensation Type salary at 1.0 full-time equivalency (FTE) Type of criminal background check required: Name-based criminal background check (non-security sensitive) Number of Vacancies 1 Target Hire Date Expected End Date Contact Information for Candidates

Office of Talent Acquisition

talent@arizona.edu

Open Date 10/27/2026 Open Until Filled Yes Documents Needed to Apply Curriculum Vitae (CV) and Cover Letter Special Instructions to Applicant

Application: The online application should be completed in its entirety. Blank or missing information may be considered an incomplete submission.

Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).

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