Research Scientist 3

The Division of Epidemiology, Biostatistics, and Preventive Medicine (EBPM), within the Department of Internal Medicine, is seeking a Research Scientist 3 to support research data collection, management, and statistical analysis. The successful candidate will have an MS or PhD in Statistics or a closely related field and at least one year of experience working as a statistical programmer/analyst. We are seeking expertise in data management techniques and report generation, preferably in a data coordinating center or clinical research organization. Familiarity with REDCap database and demonstrated experience using statistical software, including SAS, is required. Experience using multiple statistical methods used in clinical and public health research including regression methods (e.g., longitudinal data analysis, multivariable logistic regression, and survival analysis) as well as SAS certification is preferred. Knowledge of clinical trial design is desired. Excellent written and oral communication skills are required. **For full consideration, your cover letter must address the the qualifications listed above. You may be a recent MS graduate, but you must be able to demonstrate at least one year of relevant experience.

The Department of Internal Medicine is a large, progressive department with a diverse staff working in dedicated teams to provide quality work in an organized, effective, and efficient manner through innovation, training, and education. Through our collaborative work effort, we support the faculty and enhance the missions of the Department, School, Health Sciences Center, and University.

See the Position Description for additional information.

• Successful candidate must submit to a post-offer, pre-employment physical examination and medical history check. Additional health screenings may be required, dependent on the nature of the research conducted, as determined by Employee Occupational Health Services.

Bachelor's degree; 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.

• Experience using statistical software for data management and reporting
• Experience working as a statistical programmer/analyst
• Experience and expertise using a variety of statistical software packages such as SAS (preferred) or R
• Experience developing, working with, and managing REDCap databases and data collection forms
• Documented experience using multiple statistical methods for clinical and public health research including regression methods (e.g., longitudinal data analysis, multivariable logistic regression, and survival analysis)
• Ability to prioritize work and manage time to complete multiple simultaneous assignments.
• Ability to communicate effectively with study personnel through email and over the phone.

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1)Cover Letter detailing your directly related experience

2)Resume

3)Professional references, preferably supervisors

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.