Postdoc Data Scientist in Cancer Genomics & Risk Modeling

University of Maryland, Baltimore; Baltimore (MD); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Retirement program

Paid leave

Health insurance

Flexible work options

Job summary

University of Maryland, Baltimore is offering a full-time postdoctoral research fellowship to advance cancer epidemiology through genomic methods and risk modeling.

The role involves contributing to study design, project management, data analysis, and manuscript preparation, with collaboration across the School of Medicine and international partners. Strong quantitative skills and expertise in R/Python/SAS/Stata are required.

Qualifications

• Strong quantitative and analytical skills.
• Proficiency in statistical or programming platforms: R, Python, SAS, or Stata.
• Experience with complex datasets and epidemiologic analyses.

Responsibilities

• Contribute to study design, project implementation and management, data analysis, and manuscript preparation.
• Collaborate with multidisciplinary researchers at the University of Maryland School of Medicine and with national/international partners.
• Use genomic methods and analytical approaches to integrate datasets with genomic and phenotypic data.

Skills

Quantitative analysis

R

Python

SAS

Stata

Data analysis

Research coordination

Tools

R

Python

SAS

Stata

Job description

University of Maryland, Baltimore is offering a full-time postdoctoral research fellowship to advance cancer epidemiology through genomic methods and risk modeling.

The role involves contributing to study design, project management, data analysis, and manuscript preparation, with collaboration across the School of Medicine and international partners. Strong quantitative skills and expertise in R/Python/SAS/Stata are required.