Edtech.com's Summary

Drexel University is hiring a Statistician for its Dornsife School of Public Health. The role involves collaborating on study design and grant proposals, managing and analyzing complex datasets, and assisting in manuscript and presentation development within the Biostatistics Scientific Collaboration Core.

Highlights

Develop study design and analysis sections for grant proposals in collaboration with principal investigators.
Lead data cleaning, quality assessment, variable creation, and harmonization for multiple data sources.
Compile, harmonize, and link multiple datasets from various sources.
Develop and maintain detailed documentation on data processes and analyses.
Implement quantitative and qualitative analysis plans and assist in preparing abstracts and manuscripts.
Extensive knowledge of SAS programming and expert data management skills required.
Minimum of a Master's degree in Biostatistics, Epidemiology, Public Health, or related field with at least 5 years of experience in data analysis and management.
Experience with complex databases such as disease registries and electronic health records, and with coordinating interdisciplinary teams.
Preferred skills include proficiency in R, ArcGIS, and REDCap.
Compensation ranges from $90,430 to $135,640 per year depending on qualifications and experience.

Statistician Full Description

Job Summary

The Drexel University Dornsife School of Public Health invites applications for an experienced statistician to join the growing Biostatistics Scientific Collaboration Core (BSC) in the Department of Epidemiology and Biostatistics. The position requires a highly motivated, detail-oriented and organized individual who will participate in all aspects of biostatistics collaboration including study design/grant proposals, data preparation with careful documentation, data analysis, and dissemination via participation in the development of manuscripts and presentations.

This position is grant-funded; employment is contingent upon the continued availability of those funds.

Essential Functions

Develop study design and analysis sections for grant proposals in collaboration with grant PIs.
Lead, coordinate and implement various activities for data cleaning, data quality, variable creation and harmonization assessment for various data sources.
Compilation, harmonization and linkage of multiple datasets from various data sources.
Develop and maintain detailed documentation for data cleaning, linkage, storage, and analyses of study data.
Implement quantitative and qualitative analysis plans.
Aid in preparation of abstracts and manuscripts for peer-reviewed journals.

Required Qualifications

Minimum of a Master's Degree in Biostatistics, Epidemiology, Public Health or related field or the equivalent combination of education and work experience.
- (Please review the Equivalency Chart for additional information.)
Minimum of At least 5 years of experience in data analysis/data management activities across a variety of topic areas
Extensive knowledge of programming in SAS
Expert data compilation and data management skills
Expert statistical knowledge that includes longitudinal analyses
Extensive experience working with complex data linkages across multiple databases
Experience working complex databases such as disease registries, electronic health records, or other large databases.
Experience working with and coordinating large interdisciplinary teams of faculty, trainees, and other staff across multiple institutions
Experience supervising trainees and other analysts
Strong written and oral English communication
Organized and attentive to detail
Experience in large multisite NIH-funded collaborative studies
Experience working with confidential data and data protected under licensing or other restricted data use agreements

Preferred Qualifications

Experience with other software packages including R, ArcGIS
Experience with databases including REDCap

Physical Demands

Typically sitting at a desk/table

Location

Hybrid/Flexible Work Arrangement

Additional Information
This position is classified as Exempt, grade N. Compensation for this grade ranges from $90,430.00to $ 135,640 per year. Please note that the offered rate for this position typically aligns with the minimum to midrange of this grade, but it can vary based on the successful candidate’s qualifications and experience, department budget, and an internal equity review.

Applicants are encouraged to explore the Professional Staff salary structure and Compensation Guidelines & Policies for more details on Drexel’s compensation framework. For information about benefits, please review Drexel’s Benefits Brochure.

Special Instructions to the Applicant
Please make sure you upload your CV/resume and cover letter when submitting your application.

A review of applicants will begin once a suitable candidate pool is identified.

#LI-Hybrid

Original Job Description

Job Summary

This position is grant-funded; employment is contingent upon the continued availability of those funds.

Essential Functions

Develop study design and analysis sections for grant proposals in collaboration with grant PIs.
Lead, coordinate and implement various activities for data cleaning, data quality, variable creation and harmonization assessment for various data sources.
Compilation, harmonization and linkage of multiple datasets from various data sources.
Develop and maintain detailed documentation for data cleaning, linkage, storage, and analyses of study data.
Implement quantitative and qualitative analysis plans.
Aid in preparation of abstracts and manuscripts for peer-reviewed journals.

Required Qualifications

Minimum of a Master's Degree in Biostatistics, Epidemiology, Public Health or related field or the equivalent combination of education and work experience.
- (Please review the Equivalency Chart for additional information.)
Minimum of At least 5 years of experience in data analysis/data management activities across a variety of topic areas
Extensive knowledge of programming in SAS
Expert data compilation and data management skills
Expert statistical knowledge that includes longitudinal analyses
Extensive experience working with complex data linkages across multiple databases
Experience working complex databases such as disease registries, electronic health records, or other large databases.
Experience working with and coordinating large interdisciplinary teams of faculty, trainees, and other staff across multiple institutions
Experience supervising trainees and other analysts
Strong written and oral English communication
Organized and attentive to detail
Experience in large multisite NIH-funded collaborative studies
Experience working with confidential data and data protected under licensing or other restricted data use agreements

Preferred Qualifications

Experience with other software packages including R, ArcGIS
Experience with databases including REDCap

Physical Demands

Typically sitting at a desk/table

Location

Hybrid/Flexible Work Arrangement

Special Instructions to the Applicant
Please make sure you upload your CV/resume and cover letter when submitting your application.

A review of applicants will begin once a suitable candidate pool is identified.

#LI-Hybrid

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Statistician

Edtech.com's Summary

Statistician Full Description

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