Senior Biostatistics Analyst - Prevention & Population Health

Ohio State University; Columbus (OH); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off and holidays

State retirement plan or similar

Job summary

Ohio State University’s PREVENT Institute is seeking a Biostatistics Senior Analyst to provide expert statistical leadership across prevention science and population health projects. You will design, analyze, interpret, and disseminate complex studies while collaborating with multidisciplinary teams including clinicians, data scientists, and community partners.

The role emphasizes health equity, prevention, survivorship, and implementation science, with responsibilities spanning analytics, data

Qualifications

• Bachelor's degree or equivalent experience.
• 4 years of relevant experience required; 4-8 years preferred.
• Advanced proficiency in SAS and R.
• Experience developing statistical analysis plans and conducting complex analyses independently.

Responsibilities

• Provide advanced statistical leadership for diverse research studies and design analyses.
• Collaborate on NIH, PCORI, ACS, CDC, DOD, AHRQ, and foundation grant applications.
• Design analyses using electronic health record data, cancer registry data, claims data, and survey data.
• Lead development of analytic datasets and reproducible workflows; ensure data integrity.
• Publish findings in scientific venues and translate statistics for varied audiences.
• Mentor faculty, fellows, and analysts; lead statistical working groups.

Skills

Statistical leadership

Study design

Multilevel modeling

Survival analysis

Causal inference

Data management

Mentorship

Education

Bachelor's degree or equivalent experience

Advanced degree desirable

Tools

SAS

R

STATA

Python

SQL

Job description

Ohio State University’s PREVENT Institute is seeking a Biostatistics Senior Analyst to provide expert statistical leadership across prevention science and population health projects. You will design, analyze, interpret, and disseminate complex studies while collaborating with multidisciplinary teams including clinicians, data scientists, and community partners.

The role emphasizes health equity, prevention, survivorship, and implementation science, with responsibilities spanning analytics, data