Research Data Analyst Associate, Rheumatology

Department: MED-Rheumatology

Salary/Grade: EXS/6

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.

• Partners with clients define requirements based on business objectives.

• Develop standardized templates, policies, and procedures for internal and external reporting.
• Designs and prepares 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.

• 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.
• Amazon Web Services (AWS)
• High Performance Computing (HPC)
• Microsoft Office (Word, Excel, Power point, Access, Outlook)
• SQL/MySQL/Postgres
• HTML 5
• Python
• Shell Scripting
• data mining
• data modeling
• database design/ data structure
• Debugging
• decision making
• metadata creation and management
• problem solving
• Troubleshooting
• use-case analysis
• Code documentation
• collaboration and teamwork
• facilitate collaboration
• iterative & incremental development
• organizational skills
• workflow development & documentation

• Bachelor's or Master's degree in computer science or related field.
• Practical experience in applying programming skills to real-world problems.
• Prior working experience with quantitative analysis, algorithm development, and statistics.
• Prior working experience in theory and application of machine learning.
• Prior working experience in software development, database maintenance, and high-performance computing.
• Prior working experience with big data, particularly genomic data, and/or bioinformatics.

• Skill/ability in computer programming using Python or similar, R, and bash scripting.
• Skill/ability to apply a creative approach to problem-solving and troubleshooting.
• Knowledge of development of online applications.
• Knowledge of or interest in biology, specifically immunology.
• 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 of one's own 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; takes action that no one has requested to improve or enhance job results and avoid problems.
• 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.

Target hiring range for this position will be between $56,782 to $79,850 per year. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.

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Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected…