"Scientific Analyst I, Translational Neurosciences (Phoenix)"

Position Highlights

The Translational Neuroscience department at the University of Arizona College of Medicine-Phoenix is currently recruiting a Scientific Analyst I to support Isabelle Schrauwen's lab in a research project focused on the genetic background of various neurological disorders. Join our team as a Scientific Analyst I, where you'll spearhead the development and maintenance of bioinformatic pipelines for cutting-edge omics data analysis. We seek a dynamic and passionate individual with experience in computational biology to drive our research mission forward and enhance our computational efforts. This role offers a fantastic opportunity for professional growth, paving the way for a future career in data science. Help us build a transformational environment to support future research, medical students, and doctors.

This position is eligible for J1 Visa sponsorship.

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

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Duties & Responsibilities

• Participates in maintaining computational biology workflows for data analyses to fulfill research goals.
• Work with Dr. Schrauwen and other laboratory staff to identify problems with computational biology workflows and recommend solutions or changes as necessary.
• Aid in interpreting results and generating insights.
• With the assistance of Dr. Schrauwen, conduct computational research with the goal to study the molecular background of neurological disorders.
• Assist with data management and data analyses using laboratory designated software to obtain study objectives.
• Utilize good coding practices including versioning (eg. Github) and writing detailed documentation to document all data analyses pipelines.
• Contribute to managing and formatting data for publications and presentations.

Knowledge, Skills, and Abilities

• Excellent trouble shooting skills.
• Ability to conduct research independently and within a team.
• Ability to work with minimal supervision and delegate to others.
• Effective communication, organization and documentation skills.
• Ability to learn and adopt new technologies in bioinformatics.

Minimum Qualifications

Bachelor's degree or equivalent advanced learning attained through professional level experience required. Up to 1 year of relevant work experience may be required.

Preferred Qualifications

Bachelor's degree with an emphasis on bioinformatics, biostatistics, biology, biochemistry, computer sciences or a related field. Master's degree in a related field of study. Experience in analyzing next generation sequencing data, such as genetics, transcriptomics and epigenetic data. Experience with linux shell coding/bash, R or Python. Comfortable with job submission on a high-computing cluster.

Compensation and Benefits

Rate of Pay: $53,039 - $66,299. Compensation Type: salary at 1.0 full-time equivalency (FTE). For more details, see the Applicant Compensation Guide and Total Rewards Calculator.