Biostatistician – Research Analytics for Psychiatry

Rutgers University; New Brunswick (NJ); Hybrid; USD 74,000 - 106,000; Full time

Benefits offered by this job

Medical coverage

Paid vacation & holidays

Retirement benefits

Educational benefits

Life Insurance

Employee discount programs

Job summary

Rutgers University in New Brunswick, NJ, seeks a Biostatistician to support research projects in Psychiatry Genomics. The role involves data analysis, management protocols, and collaboration on publications and grants.

You will design and execute analyses using R and SAS, and help ensure data quality across multiple longitudinal studies. The position requires a master's degree or PhD in statistics/biostatistics with relevant epidemiological experience, and strong communication skills.

Qualifications

• Master's degree in Statistics or Biostatistics (or related field) with 3+ years' epidemiological data experience or a PhD in a related field.
• Expertise in R and experience analyzing New Jersey IPHD data.
• Strong oral and written communication skills are essential.

Responsibilities

• Performs statistical consultation and data analysis to support epidemiological research on alcohol and drug use disorders and related conditions.
• Develops, implements, and maintains data management protocols in the R and SAS computing environments to clean, manage, and merge multimodal data for longitudinal studies.
• Assists with data documentation and archiving per funder requirements.
• Participates in the design of electronic data capture forms to collect data.
• Participates in data quality assurance processes.
• Applies appropriate statistical methodologies in study design and data analysis.

Skills

R

Epidemiological data analysis

New Jersey IPHD data analysis

Education

Master's degree in Statistics/Biostatistics

PhD in Statistics/Biostatistics

Tools

SAS

Job description

Rutgers University in New Brunswick, NJ, seeks a Biostatistician to support research projects in Psychiatry Genomics. The role involves data analysis, management protocols, and collaboration on publications and grants.

You will design and execute analyses using R and SAS, and help ensure data quality across multiple longitudinal studies. The position requires a master's degree or PhD in statistics/biostatistics with relevant epidemiological experience, and strong communication skills.