Pulmonary Research Data Analyst — Genomics & ML

Northwestern University; Chicago (IL); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

Paid vacation

Paid holidays

Parental leave

Tuition benefits

Pre-tax benefits

Flexible spending accounts

Retirement savings

Job summary

Northwestern University is seeking a data analyst to utilize multiple quantitative and qualitative datasets from diverse sources, applying statistical methods and data mining to inform biomedical research initiatives.

The role supports projects in genomics, computational biology, and machine-learning applications, partnering with clients to define requirements, develop reports, and present findings to stakeholders.

Qualifications

• Bachelor's degree or higher in a relevant field or equivalent.
• Experience with statistical analyses and data-driven decision making.
• Ability to merge and integrate data from multiple sources.
• Strong communication and collaboration with clients and stakeholders.

Responsibilities

• Partners with clients to define requirements based on business objectives.
• Develop standardized templates, policies, and procedures for internal and external reporting.
• Design and prepare documentation for qualitative and quantitative data analysis.
• Completes a variety of statistical analyses using appropriate data and software.
• Merges data from multiple sources in preparation for analysis.
• Interprets results of analyses for use in reports and presentations.
• Completes data cleaning and organizes data files for analysis.
• Reviews data and identifies quality issues.
• Performs other duties as assigned.

Skills

Statistical analysis

Data interpretation

Data cleaning

Client communication

Education

Bachelor's degree

Graduate degree in bioinformatics, computational biology, computer science, statistics, or mathematics

Job description

Northwestern University is seeking a data analyst to utilize multiple quantitative and qualitative datasets from diverse sources, applying statistical methods and data mining to inform biomedical research initiatives.

The role supports projects in genomics, computational biology, and machine-learning applications, partnering with clients to define requirements, develop reports, and present findings to stakeholders.