University of Arizona
Scientific Analyst I, Translational Neurosciences (Phoenix)
University of Arizona, Phoenix, Arizona, United States, 85003
Scientific Analyst I, Translational Neurosciences (Phoenix)
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! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please
click here . 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. The University of Arizona is an equal opportunity employer and welcomes applications from diverse candidates.
#J-18808-Ljbffr
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! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please
click here . 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. The University of Arizona is an equal opportunity employer and welcomes applications from diverse candidates.
#J-18808-Ljbffr