Northwestern University
Research Data Analyst Associate, Rheumatology
Northwestern University, Chicago, Illinois, United States, 60290
Job Summary
Utilizes multiple quantitative and qualitative datasets from a variety of sources and interprets results using 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. 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. Designs and prepares 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. AWS High Performance Computing (HPC) Microsoft Office (Word, Excel, PowerPoint, Access, Outlook) SQL/MySQL/Postgres HTML5 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 Preferred Qualifications
Bachelor’s or Master’s degree in computer science or related field. Practical experience applying programming skills to real-world problems. Experience with quantitative analysis, algorithm development, and statistics. Experience in theory and application of machine learning. Experience in software development, database maintenance, and high-performance computing. Experience with big data, particularly genomic data and/or bioinformatics. Preferred Competencies
Programming with Python or similar, R, and Bash scripting. Creative problem-solving and troubleshooting. Knowledge of development of online applications. Knowledge of or interest in biology, specifically immunology. Action oriented, willing to take practical action to deal with problems. Coachability, receptive to feedback and continuous improvement. Collaboration, communication, and teamwork. Collegiality, helpfulness, and positive work relationships. Initiative, goal-oriented action and decisive problem-solving. Meets deadlines and multi-tasking capabilities. Organization and attention to detail. Target hiring range for this position will be between $56,782 and $79,850 per year. Offered salary will be determined by education, experience, knowledge, skills and abilities, as well as internal equity and market data. Benefits and Work-Life
We are committed to meaningful, competitive health care plans and retirement benefits. Information about benefits is available through the Northwestern human resources office. Northwestern offers programs to support work-life balance, childcare and senior/adult care, and flexible work arrangements where possible. Career development resources are available to help you grow professionally, on campus or remotely. Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. Applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. Additional information on accommodations is available from the accommodations process. #LI-JP1
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Utilizes multiple quantitative and qualitative datasets from a variety of sources and interprets results using 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. 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. Designs and prepares 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. AWS High Performance Computing (HPC) Microsoft Office (Word, Excel, PowerPoint, Access, Outlook) SQL/MySQL/Postgres HTML5 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 Preferred Qualifications
Bachelor’s or Master’s degree in computer science or related field. Practical experience applying programming skills to real-world problems. Experience with quantitative analysis, algorithm development, and statistics. Experience in theory and application of machine learning. Experience in software development, database maintenance, and high-performance computing. Experience with big data, particularly genomic data and/or bioinformatics. Preferred Competencies
Programming with Python or similar, R, and Bash scripting. Creative problem-solving and troubleshooting. Knowledge of development of online applications. Knowledge of or interest in biology, specifically immunology. Action oriented, willing to take practical action to deal with problems. Coachability, receptive to feedback and continuous improvement. Collaboration, communication, and teamwork. Collegiality, helpfulness, and positive work relationships. Initiative, goal-oriented action and decisive problem-solving. Meets deadlines and multi-tasking capabilities. Organization and attention to detail. Target hiring range for this position will be between $56,782 and $79,850 per year. Offered salary will be determined by education, experience, knowledge, skills and abilities, as well as internal equity and market data. Benefits and Work-Life
We are committed to meaningful, competitive health care plans and retirement benefits. Information about benefits is available through the Northwestern human resources office. Northwestern offers programs to support work-life balance, childcare and senior/adult care, and flexible work arrangements where possible. Career development resources are available to help you grow professionally, on campus or remotely. Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. Applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. Additional information on accommodations is available from the accommodations process. #LI-JP1
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