Lead Research Statistician - Health Analytics & Methods

Highmark Health; Jackson (MS); On-site; USD 94,000 - 151,000; Full time

Job summary

Highmark Health in Mississippi seeks a lead statistician to support scholarly research, handling data cleaning, transformation and analysis across multiple projects. You will work with the PI team on biostatistics activities and communications and prepare results for manuscripts intended for peer-reviewed journals.

You will also contribute to methodological resources, discuss study timelines with stakeholders, and mentor junior statisticians as part of an enterprise team.

Qualifications

• Master’s degree in analytics, health services research, epidemiology, or biostatistics with 3 years of Statistical Analysis – OR
• Bachelor’s degree in analytics, health services research, epidemiology, or biostatistics with 6 years of Statistical Analysis -OR
• 3 years in Statistical Analysis

Responsibilities

• Writes and reviews SAPs and programming specs for analysis datasets, tables, listings, figures.
• Conducts QA of deliverables to ensure alignment with SAP.
• Presents analyses to internal and external stakeholders.
• Prepares manuscripts for publication.
• Mentors junior statisticians.
• Manages time estimates and communicates progress to stakeholders.

Skills

Advanced knowledge of SAS, R, or Stata

Builds strong relationship with peers

Effective communication of statistics

Technical competence in clinical研究

Education

Master’s degree in analytics/biostatistics/epidemiology

Bachelor’s degree in analytics/biostatistics/epidemiology

3 years in Statistical Analysis

Doctorate in analytics/biostatistics

Job description

Highmark Health in Mississippi seeks a lead statistician to support scholarly research, handling data cleaning, transformation and analysis across multiple projects. You will work with the PI team on biostatistics activities and communications and prepare results for manuscripts intended for peer-reviewed journals.

You will also contribute to methodological resources, discuss study timelines with stakeholders, and mentor junior statisticians as part of an enterprise team.