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Data Analyst

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Position Details

Position Information

Title Data Analyst
Department Pharmacy Practice and Science (1905)
Location University of Arizona Health Sciences
Position Summary

The successful candidate will work under the direct supervision of College of Pharmacy, Assistant Professor, Dr. Lo-Ciganic. Candidate’s primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with large health care datasets. Candidate will also assist faculty or students with statistical analysis on ongoing research or new research. Candidate will have experience with statistical or data mining software (e.g., SAS, Stata, R, Python, MatLab, Access) and analyzing data from a range of projects related to medication utilization and health outcomes.

It is the College of Pharmacy’s Mission to improve the prospects and enrich the lives of the people of Arizona and the world through education, research, creative expression, and community and business partnerships. Also our vision through cross-cutting innovations distinctive to the University of Arizona, we will expand the student experience through engagement, advance knowledge through innovations in creative inquiry and collaboration, and forge novel partnerships to positively impact our community.

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; state and optional retirement plans; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized on Forbes 2015 list of America’s Best Employers in the United States and has been awarded the 2015 Work-Life Seal of Distinction by the Alliance for Work-Life Progress! For more information about working at the University of Arizona, please click here.

Duties & Responsibilities
  • Data mining using state-of-the-art methods.
  • Selecting features, building and optimizing classifiers using machine learning techniques.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Supporting study design, analysis plan data collection, and grant application.
  • Developing and implementing programs to process and manipulate large datasets.
  • Providing data programming and analytic support on a range of research projects.
  • Preparing study reports with both tabular and graphical data presentations.
  • Preparation of presentations and manuscripts.
  • Conducting and participating in study review and data security and quality monitoring.
  • Supporting educational opportunities to help researchers and students become more effective at study design, data management and study analysis.
  • Creating automated anomaly detection systems and constant tracking of its performance.
  • Problem solving skills are also required.
Knowledge, Skills, & Abilities
  • Proficient in applied statistical methods and machine learning techniques and algorithms (e.g., Naïve Bayes, SVM, Decision Forests, etc.).
  • Intermediate or advanced level of using SAS, Stata, R, Python, MatLab, SQL, JAVA, or equivalent statistical or data mining software.
  • Strong teamwork and communication (oral and written) skills.
  • Great problem solving capability.
Minimum Qualifications
  • Master Degree in biostatistics/statistics, bioinformatics, managed information system or other areas with a solid training in applied statistics, data mining and machine learning.
  • 1 – 5 years’ experience working with large administrative or electronic health data.
Preferred Qualifications
  • Excellent understanding of machine learning techniques and algorithms (e.g., Naïve Bayes, SVM, Decision Forests, etc.).
  • Experience with common data science and statistical toolkits, such as R, Python, MatLab, SAS etc. Excellence in at least one of these is highly desirable.
  • Experience with data visualization tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL.
  • Strong in applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Problem solving capability.
  • Adaptability.
  • Good written and oral communication skills.
  • Strong teamwork skills.
  • Critical thinking.
  • Strong computer background.
  • Strong knowledge of data presentation software.
  • Collaborative experience in biomedical and public health research.
FLSA Exempt
Full Time/Part Time Full Time
Number of Hours Worked per Week 40
Job Category Research
Benefits Eligible Yes - Full Benefits
Posted Rate of Pay $45,000 - $70,000 Annually, DOE
Type of criminal background check required: Name-based criminal background check (non-security sensitive)

Posting Detail Information

Posting Number A21947
Number of Vacancies One
Desired Start Date
Position End Date (if temporary)
Limited to Current UA Employees No
Contact Information for Candidates

Abby Purdy

Open Date 08/03/2017
Close Date
Open Until Filled Yes
Review Begins On 08/14/2017
Special Instructions to Applicant
Diversity Statement

At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. We translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues and constituencies. Because we seek a workforce with diverse perspectives and experiences, we encourage minorities, women, veterans, and individuals with disabilities to apply. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs.

Quick Link for Internal Postings

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * Where did you first learn about this position?
    • Arizona Daily Star
    • Arizona Republic
    • Chronicle of Higher Education
    • Department of Economic Security (DES)
    • Diverse Issues in Higher Education
    • Hispanic Outlook in Higher Education
    • Jobing.Com
    • LinkedIn
    • Local Job Banks
    • Pima County One-Stop
    • Professional Conference
    • Professional journal/publication
    • Referred by UA Employee
    • Invited by Dept to Apply
    • UA Website
    • Other
  2. * Upon hire, will you possess a Master Degree in biostatistics/statistics, bioinformatics, managed information system or other areas with a solid training in applied statistics, data mining and machine learning?
    • Yes
    • No
  3. * Upon hire, will you have one (1) to five (5) years’ experience working with large administrative or electronic health data?
    • Yes
    • No
  4. * Do you have experience with software for data presentation (e.g., PowerPoint, SAS, Stata, R, Access) and analyzing data from a range of medical projects?
    • Yes
    • No

Documents Needed to Apply

Required Documents
  1. Cover Letter
  2. Curriculum Vitae
Optional Documents