Department: MED-Rheumatology
Salary/Grade: EXS/6

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.

The Winter Lab at the Feinberg School of Medicine is looking for a talented and motivated candidate with a strong background in computer science and quantitative skills to support computational biology research.  A background in biology is not required but interest in biomedical research is preferable.  The ideal candidate would be ready and willing to learn and capable of applying sophisticated computational approaches to analyze big data.  A hybrid schedule combining on-campus and remote work is available if desired.

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.  
• Please see information highlighted below.
  • Infrastructure
    • Amazon Web Services (AWS)
    • High Performance Computing (HPC)
    • Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
    • SQL/MySQL/Postgres
  • Programming Languages and Frameworks
    • HTML 5
    • Python
    • Shell Scripting
  • Analytical
    • data mining
    • data modeling
    • database design/ data structure
    • Debugging
    • decision making
    • metadata creation and management
    • problem solving
    • Troubleshooting
    • use-case analysis
  • Project
    • 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 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.

Preferred Competencies: (Skills, knowledge, and abilities)

• 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.

Benefits:
At Northwestern, we are proud to provide meaningful, competitive, high-quality health care plans, retirement benefits, tuition discounts and more! Visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.

Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life’s challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.

Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you’re interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at