Research Data Analyst Associate, Pulmonary

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

Job Summary

Utilizes multiple quantitative and qualitative datasets from a variety of sources and interprets results using various techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Assists in the design, development and implementation of business solutions partnering with clients to identify analytical requirements. Compiles reports, charts, and tables based on established statistical methods.

This role supports biomedical research projects through the use of state‑of‑the‑art genomic, computational, data science, and machine‑learning tools to understand immune mechanisms governing lung injury and repair.

Specific Responsibilities

Strategic Planning

• Partners with clients to define requirements based on business objectives.

Administration

• Develop standardized templates, policies, and procedures for internal and external reporting.
• Design and prepare documentation for qualitative and quantitative data analysis.

Development

• 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.

Performance

• Completes data cleaning and organizes data files for analysis.
• Reviews data and identifies quality issues.

Miscellaneous

Performs other duties as assigned.

Minimum Qualifications

• Successful completion of a full 4‑year course of study in an accredited college or university leading to a bachelor’s or higher degree; OR appropriate combination of education and experience.

Preferred Qualifications

• Graduate degree in bioinformatics, computational biology, computer science, computer engineering, statistics, mathematics, or a similar field.
• Prior working experience with analysis of next generation sequencing data (RNA‑seq/scRNA‑seq, ATAC‑seq), metagenomics analysis, agile and scrum methodologies, and project management.

Preferred Competencies

• Action oriented – willing or likely to take practical action to deal with a problem or situation.
• Coachability – receptive to feedback, willing to learn, embracing continuous improvement.
• Collaboration – facilitates open and effective communication, cooperation and teamwork within and outside the team.
• Collegiality – helpful, respectful, approachable; builds strong working relationships and a positive work environment.
• Initiative – exhibits energy and desire to achieve; sets ambitious goals and acts decisively.
• Meets deadlines – displays consistency and success in adhering to deadlines.
• Multi‑tasking – demonstrates ability to work on multiple projects simultaneously.
• Organization – plans, organizes, and schedules in an efficient, productive manner; anticipates contingencies and pays attention to detail.

Benefits

Health, dental, vision, disability, and life insurance; paid vacation and holidays; paid medical/sick and parental leave; tuition benefits for the employee and dependents; pre‑tax and flex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs.

Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance.