Postdoctoral Research Associate, Translational Neuroscience (Phoenix, AZ)

The Laboratory of Isabelle Schrauwen 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.

This position is eligible for visa sponsorship.

Outstanding UA 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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• 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 analyze 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, and Abilities:

• Knowledge of coordinating experiments, and completing statistics analysis and interpretation.
• Knowledge of grant writing and manuscript preparation.
• Ability to participate at scientific conferences and present findings.
• Ability to conduct research independently and within a team.
• Ability to communicate professionally in a clear, concise manner orally and in writing.
• Comfortable with job submission on a high-computing cluster.
• Effective communication, organization and documentation skills.
• Excellent trouble shooting skills.
• Excellent analytical skills and commitment to scientific excellence and innovation.

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

• Experience in analyzing next generation sequencing data, such as genetics, transcriptomics and epigenetic data.
• Track record of publishing papers in peer reviewed journals.

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

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