The primary responsibilities of the Research Data Analyst will be to apply advanced analytic methods to data from a large prospective cohort study: Pregnancy Study Online (PRESTO).
The Research Data Analyst will conduct data analysis and assist other research team members (students staff and investigators) with their analyses and manuscripts.
Duties will involve data management and procedures documentation; quality control; statistical programming using SAS primarily but also R Excel and Access; preparation of datasets for external investigators; birth registry linkage; presenting data in tabular or graphical form; assisting with presentations for scientific conferences; producing data tables and figures for journal manuscripts; and generation of preliminary data for grant proposals.
This is an in-person/on-premises role with the occasional opportunity for remote work upon consideration of impact on business operations.
Required Skills
- Masters degree in public health epidemiology or biostatistics required. The candidate has at least 3 years of full-time work experience as a data analyst on an epidemiologic study this would substitute for a masters degree requiring a bachelors degree. Solid background in epidemiology.
- Demonstrated skill using SAS Access Excel and data management to support the analysis project.
- Analytic experience and statistical knowledge used to perform descriptive statistics stratification and multivariable regression (linear log-binomial and Cox) using SAS.
- Experience with multiple imputations spline regression inverse probability weighting and measurement error correction.
- Extensive knowledge of study design questionnaire design and development and methodological issues related to bias and confounding.
- Experience writing and publishing scientific manuscripts as co-author.
- Desire to work independently to deliver work of the highest quality.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color natural or protective hairstyle religion sex age national origin physical or mental disability sexual orientation gender identity genetic information military service pregnancy or pregnancy-related condition or because of marital parental or veteran status. We are a VEVRAA Federal Contractor.
Required Experience:
IC
The primary responsibilities of the Research Data Analyst will be to apply advanced analytic methods to data from a large prospective cohort study: Pregnancy Study Online (PRESTO).The Research Data Analyst will conduct data analysis and assist other research team members (students staff and investig...
The primary responsibilities of the Research Data Analyst will be to apply advanced analytic methods to data from a large prospective cohort study: Pregnancy Study Online (PRESTO).
The Research Data Analyst will conduct data analysis and assist other research team members (students staff and investigators) with their analyses and manuscripts.
Duties will involve data management and procedures documentation; quality control; statistical programming using SAS primarily but also R Excel and Access; preparation of datasets for external investigators; birth registry linkage; presenting data in tabular or graphical form; assisting with presentations for scientific conferences; producing data tables and figures for journal manuscripts; and generation of preliminary data for grant proposals.
This is an in-person/on-premises role with the occasional opportunity for remote work upon consideration of impact on business operations.
Required Skills
- Masters degree in public health epidemiology or biostatistics required. The candidate has at least 3 years of full-time work experience as a data analyst on an epidemiologic study this would substitute for a masters degree requiring a bachelors degree. Solid background in epidemiology.
- Demonstrated skill using SAS Access Excel and data management to support the analysis project.
- Analytic experience and statistical knowledge used to perform descriptive statistics stratification and multivariable regression (linear log-binomial and Cox) using SAS.
- Experience with multiple imputations spline regression inverse probability weighting and measurement error correction.
- Extensive knowledge of study design questionnaire design and development and methodological issues related to bias and confounding.
- Experience writing and publishing scientific manuscripts as co-author.
- Desire to work independently to deliver work of the highest quality.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color natural or protective hairstyle religion sex age national origin physical or mental disability sexual orientation gender identity genetic information military service pregnancy or pregnancy-related condition or because of marital parental or veteran status. We are a VEVRAA Federal Contractor.
Required Experience:
IC
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