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Harvard University · 3 weeks ago

Statistical Analyst/Programmer

Boston, MA

Full-time

Onsite

Entry, Mid Level

2+ years exp

Harvard University is a prestigious institution dedicated to advancing public health through research and education. The Statistical Analyst/Programmer will support the Healthcare Quality and Outcomes Lab by managing data, conducting statistical analyses, and collaborating with faculty and research teams on various health-related projects.

EducationHigher EducationUniversities

Growth Opportunities

No H1B

Responsibilities

Organizes, maintains and manages data used in large research studies from multiple sources

Designs analytical databases and maintaining the integrity of the databases, including merging of multiple data sets and data manipulation to perform statistical analysis

Manages large data sets involving multiple years of data

Interaction with remote consultants or team members

Provides statistical analyses for multiple projects including multiple logistic and linear regression, longitudinal analysis, hierarchical models, and survey analysis

Development of scientific reports and presentations

Gives guidance to, and collaborates with faculties and statisticians on analytical objectives

Other duties as assigned

Qualification

SASStatistical programmingData managementBiostatisticsStatistical research methodologyUNIXSUDAANDeductive reasoningDocumentation skillsCollaboration

Required

Minimum of two years' post-secondary education or relevant work experience

Experience with SAS required

Preferred

Bachelor's Degree in biostatistics, statistics, epidemiology, public health, applied mathematics, computer science, or closely related field, or equivalent experience strongly preferred

Master's degree in Statistics/Biostatistics along with 2+ years of professional working experience

Advanced skills/experience in statistical programming and data management

Knowledge of statistical research methodology/principles

Knowledge of SAS

Knowledge of SUDAAN and UNIX

Summarize/interpret complex analyses and strong deductive reasoning skills

Maintain detailed documentation of data management and programming work

Comfortable working with multiple PIs and multiple projects at the same time