Programmer, Statistical Research - PT

Posting Details
Position Information

Position Title	Programmer, Statistical Research - PT
Position Type	Limited-Term
Job Number	SA20624
Full or Part Time	Part-Time 0-19 Hours Weekly
Fair Labor Standard Act Classification	Non-Exempt
Anticipated Pay Range	$40.00 - $45.00
Pay Range Information	Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate’s qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.

Position Summary Information

Job Description Summary	This Statistical Research Programmers position will be joining a strong, international collaborative working group and accessing data from large claims data, electronic health records, and other types of big data. The role of the Statistical Research Programmer is integral in a dynamic multidisciplinary setting, supporting research initiatives encompassing a diverse array of critical subjects, including healthcare and health policy. Work closely with the PI and collaborators in creating, managing, and analyzing large and complex data sets. The Statistical Research Programmer is expected to acquire a basic understanding of the research topic and a thorough knowledge of the data involved while applying programming and analytic skills. This position is part-time up of up to 19 hours a week and scheduled to conclude six (6)months from the hire date.
Responsibilities	Work closely with the PI and collaborators in creating, managing, and analyzing large and complex data sets. Provide programming support using Python, SAS, or R for research projects that use two large databases, CURES and IQVIA databases that contain billions of claims records and dispensing records. Prepare technical reports, papers, graphs, and/or records and provide interpretations. Assist with data visualization efforts. Propose creative and innovative approaches to solving conceptual programming problems. Understand the research topic and have a thorough knowledge of the data involved while applying programming and analytical skills. Write up brief reports about the methodology and result interpretation after data analysis. Assist in manuscript drafting and modifying analysis according to PI requirements. Write up machine learning algorithms under the supervision of PI and external collaborators.
Required Qualifications	MA/MS (or in progress) in statistics, biostatistics, or related quantitative field required. Ability to program using Python, SAS, or R for data management and statistical analysis. A minimum of one year of experience in statistical programming with Python, SAS, or R, with a preference for candidates proficient in at least two of the mentioned languages Exceptional problem-solving abilities with a solid understanding of statistical methods Good Strong interpersonal and communication skills Ability to produce careful and detail-oriented work Ability to work in a team environment
Desired Qualifications	Minimum one year of experience working with healthcare claims data from Medicare, Medicaid, or private-sector healthcare claims such as Marketscan data. Publications in peer-reviewed journals in health services, epidemiology, or similar fields. A good understanding of statistical methods for geospatial epidemiology (e.g., ArcGIS and preferably SaTScan™). Experience in writing and preparing manuscripts for publication. Thorough understanding and knowledge of epidemiological study design. Previous clinical or research training.
Special Instructions to Applicants	Chapman University is an equal opportunity employer committed to fostering a diverse and inclusive academic global community. The University is dedicated to enhancing diversity and inclusion in all aspects of recruitment and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law. The University is committed to achieving a diverse faculty and staff and encourages members of underrepresented groups to apply. More information on diversity and inclusion at Chapman University can be found at www.chapman.edu/diversity. Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis. Chapman University does not sponsor applicants for Staff and Administrator positions for work visas. The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate.
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