Assistant Statistical Research Programmer PT
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Job Location:
Irvine, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
The role of the Assistant 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. This position will work closely with the PI and collaborators in creating managing and analyzing large and complex data sets. This position is part-time up of up to19 hours a week.
Responsibilities
Work closely with the PI and collaborators in creating managing and analyzing large data sets for example using Python on IQVIA databases that contain billions of claims records and dispensing records. Assist faculty and graduate researchers with statistical modeling including regression survival analysis cost-effectiveness modeling and multilevel modeling. Contribute to continuous improvement of departmental data infrastructure and workflow efficiency. Support research projects involving large administrative claims EHR survey or clinical trial data. Collaborate with external collaborators in implementing machine learning algorithms. Perform other duties as assigned.
Required Qualifications
Bachelors degree in Statistics Biostatistics Data Science Computer Science or a related SAS or R for data management and statistical analysis. 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. 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.
The role of the Assistant 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. This position will work closely with the PI and collaborators in creating managing and analyzing large and complex data sets. This position is part-time up of up to19 hours a week.
Responsibilities
Work closely with the PI and collaborators in creating managing and analyzing large data sets for example using Python on IQVIA databases that contain billions of claims records and dispensing records. Assist faculty and graduate researchers with statistical modeling including regression survival analysis cost-effectiveness modeling and multilevel modeling. Contribute to continuous improvement of departmental data infrastructure and workflow efficiency. Support research projects involving large administrative claims EHR survey or clinical trial data. Collaborate with external collaborators in implementing machine learning algorithms. Perform other duties as assigned.
Required Qualifications
Bachelors degree in Statistics Biostatistics Data Science Computer Science or a related SAS or R for data management and statistical analysis. 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. 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.
Key Skills
- Family Support
- Data Entry
- Access
- Business Objects
- Learning Management System
- Government
