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  • Live Data
My LER
My LER
  1. Programs
  3. Bioinformatics

Bioinformatics

The University of Montana

Certificate

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

No description available.

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Program Pathways

Credentials this program stacks toward

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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.

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Locations

Where this program is offered

  • Missoula, Montana

    Missoula, Montana, Missoula, Montana, 59812

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 19-1029.01

Skills

Reading ComprehensionCritical ThinkingComplex Problem SolvingActive ListeningSpeakingWritingScienceJudgment and Decision Making

Knowledge

BiologyComputers and ElectronicsMathematicsEnglish LanguageChemistry

Abilities

Written ComprehensionWritten ExpressionOral ComprehensionOral ExpressionProblem SensitivityDeductive ReasoningInductive ReasoningInformation OrderingFluency of IdeasMathematical Reasoning

Tasks

  • Develop new software applications or customize existing applications to meet specific scientific pro
  • Communicate research results through conference presentations, scientific publications, or project r
  • Create novel computational approaches and analytical tools as required by research goals.

Technology

Analytical or scientific softwareData base user interface and query softwareObject or component oriented development softwareData base management system softwarePortal server software

Tools

Computer data input scannersComputer laser printersDesktop computersLaptop computersPersonal computers

Work Values

IndependenceAchievementRecognitionWorking ConditionsSupportRelationships
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium19-1029.01Bioinformatics Scientiststitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

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

  • Large-scale genomic or proteomic datasets — independently analyze end-to-end using established pipelines, adapting parameters to suit specific clinical or basic research questions with minimal oversight.
  • Custom Python, R, or Perl scripts — develop and test to extend existing analytical tools and automate multi-step workflows within an active bioinformatics research group.
  • Relational and NoSQL databases for molecular data — design schemas, optimize queries, and maintain data integrity in support of multi-investigator research projects.
  • Research collaborators with domain-specific biology questions — consult with to translate scientific objectives into concrete computational strategies and recommend appropriate software solutions.
  • Gene expression profiling or structural bioinformatics datasets — compile, curate, and version-control using reproducible data management practices in a collaborative laboratory environment.
  • New instrumentation platforms or sequencing chemistries — evaluate by reading primary literature and attending professional conferences, then brief the research team on analytical implications.
  • Bioinformatics analysis results — communicate through clearly written manuscript sections and oral presentations at departmental seminars or regional scientific conferences.
  • Systems analysis approaches — apply to identify bottlenecks in existing computational workflows and propose targeted improvements within the constraints of available HPC resources.
  • Data models for multi-omics integration projects — construct and validate using enterprise database management software, ensuring scalability for growing dataset volumes.
  • Time and project priorities across concurrent research tasks — manage independently using structured planning methods to meet grant-driven milestones in a fast-paced research environment.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported