Staff Scientist

University of Chicago Professional Education

. Facilitate and promote advanced technical/scientific research projects, including automated workflows and data analysis .

Posted 10/14/2026full-timeChicago • Illinois • United StatesLead💰 $90,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining computational tools for experimental research, with a strong background in data analysis, statistics, and machine learning. Capable of collaborating with wet-lab biologists to optimize automated workflows and manage complex research data sets.

Highest-signal resume keywords

PhD In A Related FieldData Analysis ExperienceStatistics And Machine LearningAdvanced Computer ProgrammingAutomated Workflow Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisStatisticsMachine LearningComputer ProgrammingAutomated Workflow DevelopmentAlgorithm ImplementationResearch Data ManagementReport Production AutomationExperimental Protocol DevelopmentDocument Management

Soft Skills

Communication SkillsOrganization SkillsTime ManagementProblem-Solving SkillsFlexibility

Tools & Technologies

Statistical SoftwareDatabase ManagementSpreadsheet SoftwareDocument Management SoftwareAutomated Hardware Infrastructure

Industry Keywords

Research LaboratoryIndependent ProjectExperimental BiologyData Quality ReportingIntellectual Property

About the role

Key responsibilities & impact

Facilitate and promote advanced technical/scientific research projects, including automated workflows and data analysis
Develop, apply, document, and maintain computational tools for experimental colleagues
Develop customized automated platforms and methods for new assays and experiments
Work closely with wet-lab experimental biologists to understand analytical needs
Implement and optimize algorithms and methods for broader community use
Develop figures and reports on data quality and characteristics
Automate report production within workflow pipelines
Report data to supervisors and the team
Attend team meetings to share results and plan projects and experiments
Maintain and organize automated hardware infrastructure and resources
Contribute to protocols, publications, and intellectual property
Review laboratory protocols and training on new techniques
Manage complex research data sets
Train new laboratory personnel
Perform other related work as needed

Requirements

What you’ll need

PhD in a related field
2–5 years of work experience in a related job discipline
Experience in a research laboratory, preferably in an independent project
Practical experience in data analysis, preferably in an independent academic research laboratory project
Background in statistics and machine learning
Strong computer skills, including calendaring, document management, word processing, database management, and spreadsheet skills
Knowledge of statistical/analytical software
Advanced knowledge of computer programming and coding languages
Resume/CV required
Ability to communicate professionally with staff and external contacts
Organization, time management, problem-solving, and coordination skills
Ability to handle multiple concurrent tasks with minimal supervision and meet deadlines
Ability to prioritize urgent tasks
Flexibility and adaptability to workflow and procedure changes
Successful completion of a background check

Benefits

Comp & perks

Health benefits
Retirement benefits
Paid time off
Benefits eligibility