Scientific Analyst II
Full Time
Tucson, AZ 85724
$48,976 - $63,991 a year
Posted
Job description
Posting Number
req13947
Department
Medicine
Department Website Link
https://deptmedicine.arizona.edu/
Location
UAHS - Tucson
Address
1501 N. Campbell Ave., Tucson, AZ 85724 USA
Position Highlights
The Department of Medicine, within the College of Medicine - Tucson, is seeking a Scientific Analyst to provide data analysis and data management for the Division of Nephrology. The incumbent will extract information and analyze data from various databases and sources in support of the Division's clinical research. They will build and manage large-scale databases, and support population health initiatives by developing and implementing machine learning algorithms to identify patients for establishing a registry. The incumbent will also be instrumental in the facilitation of grant writing to secure new funding for clinical research within the Division.
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 for our innovative work-life programs.
Duties & Responsibilities
- Provides data service by constructing customized statistical analytic files (SAF) from big data (national datasets including but not limited to USRDS with Medicare Claims, UNOS, SRTR datasets), managing data storage, and analyzing constructed data sets for clinical research.
- Supports construction of large-scale database from UNOS DonorNet (using MathLab, machine vision, Natural Language Processing (NLP), Optic Character Recognition (OCR)).
- Manages built databases (MongoDb, etc) for ongoing projects.
- Constructs a vocabulary and database schema using generally accepted terminology utilizing the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and standardized vocabularies, and monitors accuracy of the outcomes.
- Supports OCR and image recognition projects.
- Works with University of Arizona Soteria (HIPAA complaint cloud) and High Performance Computing clusters.
- Supports Population Health initiative; develops and implements machine learning algorithms to identify (e-phenotype) acute kidney injury (AKI) and chronic kidney disease (CKD) patients in EHR (Cerner) and establish an AKI/CKD registry.
- Supports and facilitates grant writing for NIH, AHRQ, ASN, AST, ASTS grants.
Knowledge, Skill, and Abilities:
- Proficiency in programing languages SAS, SQL, Python, statistical languages (including Stata, MATLAB, and R).
- General understanding of clinical research standards and proper statistical methods.
Minimum Qualifications
- Master's degree is required.
- Three (3) years of relevant work experience is required.
Preferred Qualifications
FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
$48,976 - $63,991
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Grade
7
Career Stream and Level
PC2
Job Family
Research & Data Analysis
Job Function
Research
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Heather Hendrych | hhendrych@arizona.edu
Open Date
3/7/2023
Open Until Filled
Yes
Documents Needed to Apply
Resume and Cover Letter
Special Instructions to Applicant
If invited for an interview, please bring three professional references with you.
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. As a Hispanic-serving institution, 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 a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.
seankuhnke.com is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, seankuhnke.com provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, seankuhnke.com is the ideal place to find your next job.