Data Scientist 1 - req# 25232

The Best Consideration Date has been extended to 6/30/2023

The Division of Epidemiology, Biostatistics, and Preventive Medicine, within the Department of Internal Medicine, is seeking a Data Scientist to support the design and analysis ofresearch studies in UNMHSC. The successful candidate will have expertise indata management and analysis using software package such as R or SAS; experiencein electronic medical record database, database software such as SQL, dataquality control, and design and analysis of clinical research studies. TheDivision of Epidemiology, Biostatistics and Preventive Medicine has a robustresearch portfolio that includes research studies based on randomizedcontrolled trials, observational studies, and large administrative databases toaddress a broad variety of health services and other research questions. TheDivision maintains close ties to many UNM Health Sciences Center departments,centers, and colleges. There extensive opportunities for carrying out research incollaboration with other HSC programs and in areas including cardiology,neuroscience, nephrology, environmental health, and health service research.

Duties and Responsibilities:

1. Provide biostatistical support to division members andtheir affiliates. Collaborates withstakeholders and subject matter experts to understand institutional needs;identifies relevant data sources for information.

2. Conduct appropriate statistical analysis under thesupervision of faculty biostatisticians.

3. Design, test, implement, and document statisticalcomputer programming in high level statistical software packages, includingSPSS, SAS and R. Develops, tests,trains, and implements models; continuously refines models based on performanceand outcome and operationalizes feasible solutions.

4. Utilize advanced techniques to access large databases andcreate statistical datasets to address research questions. Captures, mines,manages and analyzes big data sets using state-of-the-art techniques, such asnatural language processing, cluster analysis, image analysis,pattern recognition, predictive modeling, visualization, and/or other applicable methods.

5. Develop, document, and maintain analytic data files. Processes, cleanses, and verifies theintegrity and reliability of data used for analysis; uses iterativeprocesses and validates findings.

6. Establish and maintain appropriate data collection andstorage systems, programs, and procedures for building analytic data systems.

7. Participate in research report writing and developingresearch proposals.

8. Participatein team meetings and contribute to the development and review of studyprotocols.

9. Participate in internal researchand quality control activities.

10. Captures, mines,manages and analyzes big data sets using state-of-the-art techniques, such asnatural language processing, cluster analysis, image analysis, patternrecognition, predictive modeling, visualization, and/or other applicable methods.

11. Use machine learning techniques to develops, tests,trains, and implements models. Researches,examines and develops mathematical, statistical and/or machine learning modelsto predict outcomes, which may include the use of linear regressionmodels, decision trees, random forest, and other applicable methods; models and frames scenarios that affectcritical organizational processes and/or decisions.

12. Master statistical modeling techniques such as decisiontrees, random forest, and Bayesian inferences, causal inferences. Selects features for data mining, which mayinclude building and optimizing classifiers using machine-learning techniques;explores, examines, and extracts data from multiple internal and external datasources to find hidden insights and correlations.

13. Perform miscellaneous job-related duties as assigned.

See the Position Description for additional information.

• Employees who provide services or work in patient care or clinical areas are required to be in compliance with the University's influenza vaccination requirement.

Bachelor's degree in a relevant field; at least 3 years of experience directly related to the duties and responsibilities specified.

Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.

• MS in statistics, applied statistics or closely related field
• Experience performing statistical analysis of biomedical and health data
• Experience using R, SAS in statistical data management and analysis
• Experience writing, testing, implementing, and documenting statisticalcomputer software programs
• Experience using large databases, including EHR/EMR, data processing,and creating analytic datasets suitablefor analysis
• Ability to prioritize work and manage time to complete multiplesimultaneous projects
• Ability to effectively communicate, orally and in writing, analyticresults to clinicians and the study team
• Knowledge and experience in informatics techniques (i.e. machinelearning)

Only applications submitted throughthe official UNMJobs site will be accepted. If you are viewing this jobadvertisement on a 3rd party site, pleasevisit UNMJobs to submit an application.

1)Cover Letter detailing your directly related experience

2)Resume

3)List of at least 3 supervisory references

4) Writing Sample: a sample of peer-reviewed publication co- authored by the applicant that demonstrates a higher level of data analysis.

Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details.

The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.

The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.