Biomedical Research | Arizona State University Campus Immersion

Skills & Competencies

Skills developed through this program

Auto-populatedfrom O*NET via SOC 19-4061.00

Skills

Reading ComprehensionCritical ThinkingActive ListeningWritingSpeakingComplex Problem SolvingScienceJudgment and Decision Making

Knowledge

English LanguageComputers and ElectronicsAdministrativeMathematicsCustomer and Personal Service

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionInformation OrderingDeductive ReasoningNear VisionInductive ReasoningSpeech ClarityProblem Sensitivity

Tasks

Design and create special programs for tasks such as statistical analysis and data entry and cleanin
Provide assistance with the preparation of project-related reports, manuscripts, and presentations.
Prepare tables, graphs, fact sheets, and written reports summarizing research results.
Write grant proposals.

Technology

Graphics or photo imaging softwareDesktop publishing softwareComputer based training softwareObject or component oriented development softwareData base user interface and query software

Tools

Computer data input scannersComputer laser printersDesktop computersMulti-line telephone systemsPersonal computersPhotocopying equipmentTablet computersTranscription equipment

Work Values

IndependenceAchievementWorking ConditionsRelationshipsRecognitionSupport

Career Pathways

Occupations this program prepares you for

Auto-populatedfrom O*NET + BLS

Occupations matched to this program, with median wage, top wage, growth, and openings
SOC	Occupation	Method	Wage	Growth	Openings
Match confidence: medium19-4061.00	Social Science Research Assistants	title_inference	—	—	—

Program Pathways

Credentials this program stacks toward

No program pathways.

What You'll Learn

Key competencies developed through this program

Auto-populatedfrom NSX Competency Framework

Mastery: developing (Level 2)(based on Certificate)

Custom data entry and cleaning scripts — design and test using statistical or scripting software to automate repetitive processing tasks on mid-sized social science datasets.
Descriptive and basic multivariate statistical analyses — perform independently using software such as SPSS, Stata, or R, interpreting output in the context of a defined research question.
Database tables and relational structures — prepare, manipulate, and maintain to support longitudinal or multi-wave research projects with reduced oversight.
Fact sheets, written summaries, and visualizations — produce from analyzed data for inclusion in project reports, adapting presentation style to target audiences such as policymakers or academic reviewers.
Research quality control procedures — implement systematically across assigned project phases, documenting deviations and recommended corrective actions.
Manuscript drafts and conference presentations — contribute substantive sections to, incorporating correctly cited findings and coordinating revisions with co-authors.
Analytical or scientific software — configure and troubleshoot in routine research computing environments, resolving common errors without escalation.
Incoming datasets from multiple sources — assess for validity and consistency, applying established criteria to determine fitness for analysis in a multi-site study.
Research team members and external stakeholders — communicate findings clearly in both written and oral formats during project status updates and departmental meetings.
Data governance and file management conventions — apply consistently across shared project drives and database systems to ensure reproducibility and regulatory compliance.

Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.