Northwestern University Research Associate in Evanston, Illinois

The Kellogg School of Management is seeking at least one Research Associate (or Senior Research Associate, based on qualifications) to join its growing Research Support organization. Your primary function in this role will be to enable Kellogg faculty to undertake and complete ambitious research projects.

Specifically, you will help us improve our methods for collecting, organizing, and delivering novel business datasets for analysis by researchers across the School. We anticipate you will help to solve increasingly complex challenges related to:

  • Accelerating analysis of large volumes of data,
  • Simplifying analysis of unstructured data, and
  • Securing sensitive data.

As a successful candidate, you will bring diverse skills to meet these challenges. You should have a strong practical grasp of database design, information security, and high-performance computing concepts. You will need to empathize effectively with academic clients and demonstrate that you understand their needs.

This is a term position for up to three years, with an opportunity for renewal based on performance.

Specific Responsibilities:

  • Design databases and other tools for delivery of new research datasets.
  • Update existing research datasets and verify their accuracy and completeness.
  • Participate with technology partners in the ideation, prototyping, and testing of new Big Data systems.
  • Produce sample analysis code and other forms of documentation for novel datasets.
  • Train community members on subjects related to data management and analysis.
  • May mentor and coach junior colleagues and Research Associates, as needed.
  • Perform other duties as assigned.

Minimum Qualifications:

  • PhD in a quantitative field, or equivalent terminal degree in their discipline.
  • At least 3 years of relevant work experience.

Minimum Competencies:

  • Prior experience designing and creating databases in SQL Server, MySQL, SQLite, or a similar environment.
  • Ability to organize and document datasets intelligently, and to examine data critically for potential errors or inconsistencies.
  • Experience working with scripting languages, such as Python, Perl, or bash.
  • Advanced programming skills in at least two of the following analytical applications: R, Matlab, SAS, or Stata.
  • Strong data and code documentation habits.
  • Familiarity working in both Linux and Windows based environments.
  • Outstanding communication skills with both technical and non-technical clients.
  • Commitment to continual learning and development.

Preferred Competencies:

  • Prior experience working efficiently with large scale (> 1 TB) datasets.
  • Experience extracting data from distributed file systems using tools such as MapReduce, Hive, Spark, or Pig.
  • Ability to create analyses and visualization efficiently from large datasets using scripting languages and/or statistical software packages (Python, R, SAS or similar.)
  • Strong understanding of applied statistics and computational social sciences techniques, including: logistic regression, structural equations models, constrained optimization, factor analysis, network graphs, sentiment classification, and machine learning techniques.
  • Working familiarity with version control tools such as git.

As per Northwestern University policy, this position requires a criminal background check. Successful applicants will need to submit to a criminal background check prior to employment.

Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

Regular/Temporary: Regular

Job ID: 33211

Full/Part Time: Full-Time

Location: Evanston, Illinois

Job Title: Research Associate