University of Arizona
Scientific Analyst I, Translational Cardiovascular Research Center (Phoenix)
University of Arizona, Phoenix, Arizona, United States, 85086
Scientific Analyst I, Translational Cardiovascular Research Center (Phoenix)
The University of Arizona College of Medicine
Phoenix (COM-P) is seeking a highly motivated candidate for the full-time position of Scientific Analyst I in Dr. Tobias Jakobi's laboratory. Our lab is focused on understanding the interplay of different RNA species and underlying functional networks in the heart with the goal of developing methods for the early diagnosis of heart disease as well as novel treatment options by employing state-of-the-art computational approaches. The ideal candidate should have a strong background in software development, sequencing data processing and/or transcriptomics. The individual will develop novel software to analyze large and complex biomedical data sets and contribute towards research and research-related service in translational cardiovascular research. The Scientific Analyst I will benefit from the interaction with the diverse and interdisciplinary environment at the University of Arizona College of Medicine - Phoenix. The University of Arizona College of Medicine
Phoenix anchors the 28-acre Phoenix Bioscience Core in the heart of the Valley of the Sun. The College inspires and trains individuals to become exemplary physicians, scientists and leaders who are life-long learners and inquisitive scholars. The Phoenix Biomedical Campus embodies the University's priorities of engagement, partnership, innovation, and synergy in its world-class academic and research initiatives, with clinical facilities throughout Greater Phoenix. 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, please click here. Duties & Responsibilities include: Assist with analyzing biological and clinical datasets using bioinformatics tools and statistical methods. Assist in designing and executing scientific studies related to genomics, transcriptomics, proteomics, and other omics fields. Aid in interpreting results, generate insights, and contribute to presentations and publications. Validate and benchmark analytical pipelines and methodologies. Support the development, testing, and maintenance of bioinformatics software and pipelines. Assist in the implementation of algorithms and computational methods for data processing and analysis. Collaborate with PI to optimize performance and usability of analytical tools. Document workflows, software applications, and standard operating procedures (SOPs). Work closely with interdisciplinary teams, including biologists, clinicians, and data scientists. Assist in preparing reports, manuscripts, and grant proposals. Present findings and software functionalities in meetings, conferences, and workshops. Knowledge, Skills, and Abilities include: Good communication skills for presenting data and collaborating with interdisciplinary teams. Ability to learn and adopt new technologies in bioinformatics. Knowledge of high-performance computing (HPC) and cloud computing environments. Basic knowledge of molecular biology concepts (e.g., gene expression, protein function). Ability to conduct research independently and within a team. Ability to work with minimal supervision. Effective communication, organization, and documentation skills. Minimum Qualifications include: Bachelor's degree or equivalent advanced learning attained through experience required. 1 year of relevant work experience required. Preferred Qualifications include: Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field. Experience with bioinformatics tools and software (e.g., BLAST, Bioconductor, Galaxy). Experience in data visualization tools (e.g., ggplot2, Matplotlib) for generating insights from biological data. Experience with Linux/Unix operating systems for bioinformatics pipelines and data processing. Experience in programming languages such as Python, R, or Perl for data analysis and scripting. Contact Information for Candidates: talent@arizona.edu Special Instructions to Applicant: Application: The online application should be completed in its entirety. Blank or missed 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).
The University of Arizona College of Medicine
Phoenix (COM-P) is seeking a highly motivated candidate for the full-time position of Scientific Analyst I in Dr. Tobias Jakobi's laboratory. Our lab is focused on understanding the interplay of different RNA species and underlying functional networks in the heart with the goal of developing methods for the early diagnosis of heart disease as well as novel treatment options by employing state-of-the-art computational approaches. The ideal candidate should have a strong background in software development, sequencing data processing and/or transcriptomics. The individual will develop novel software to analyze large and complex biomedical data sets and contribute towards research and research-related service in translational cardiovascular research. The Scientific Analyst I will benefit from the interaction with the diverse and interdisciplinary environment at the University of Arizona College of Medicine - Phoenix. The University of Arizona College of Medicine
Phoenix anchors the 28-acre Phoenix Bioscience Core in the heart of the Valley of the Sun. The College inspires and trains individuals to become exemplary physicians, scientists and leaders who are life-long learners and inquisitive scholars. The Phoenix Biomedical Campus embodies the University's priorities of engagement, partnership, innovation, and synergy in its world-class academic and research initiatives, with clinical facilities throughout Greater Phoenix. 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, please click here. Duties & Responsibilities include: Assist with analyzing biological and clinical datasets using bioinformatics tools and statistical methods. Assist in designing and executing scientific studies related to genomics, transcriptomics, proteomics, and other omics fields. Aid in interpreting results, generate insights, and contribute to presentations and publications. Validate and benchmark analytical pipelines and methodologies. Support the development, testing, and maintenance of bioinformatics software and pipelines. Assist in the implementation of algorithms and computational methods for data processing and analysis. Collaborate with PI to optimize performance and usability of analytical tools. Document workflows, software applications, and standard operating procedures (SOPs). Work closely with interdisciplinary teams, including biologists, clinicians, and data scientists. Assist in preparing reports, manuscripts, and grant proposals. Present findings and software functionalities in meetings, conferences, and workshops. Knowledge, Skills, and Abilities include: Good communication skills for presenting data and collaborating with interdisciplinary teams. Ability to learn and adopt new technologies in bioinformatics. Knowledge of high-performance computing (HPC) and cloud computing environments. Basic knowledge of molecular biology concepts (e.g., gene expression, protein function). Ability to conduct research independently and within a team. Ability to work with minimal supervision. Effective communication, organization, and documentation skills. Minimum Qualifications include: Bachelor's degree or equivalent advanced learning attained through experience required. 1 year of relevant work experience required. Preferred Qualifications include: Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field. Experience with bioinformatics tools and software (e.g., BLAST, Bioconductor, Galaxy). Experience in data visualization tools (e.g., ggplot2, Matplotlib) for generating insights from biological data. Experience with Linux/Unix operating systems for bioinformatics pipelines and data processing. Experience in programming languages such as Python, R, or Perl for data analysis and scripting. Contact Information for Candidates: talent@arizona.edu Special Instructions to Applicant: Application: The online application should be completed in its entirety. Blank or missed 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).