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Bioinformaticist - Psychiatry

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-07-06
Job specializations:
  • Research/Development
    Research Scientist, Clinical Research, Data Scientist
  • Healthcare
    Clinical Research, Data Scientist
Salary/Wage Range or Industry Benchmark: 55200 USD Yearly USD 55200.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Scheduled Hours

40

Position Summary

The Cruchaga Lab in the Department of Psychiatry is seeking a Bioinformaticist to participate in developing and conducting research projects, including experiment design, data analysis, and documentation of experiment results.

Job Description

Duties & Responsibilities
  • Develop algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic, proteomic, clinical).
  • Provide data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
  • Lead independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.
  • Perform complex systems analysis of data and write interpretative reports.
  • Evaluate commercial and academic bioinformatics software.
  • Train other researchers on everyday use of analysis software and research databases.
  • Assist with grant preparation and reporting of methods, data, and results.
  • Resolve practical problems related to equipment or test subjects and suggest technical or procedural improvements in testing methods.
Working Conditions
  • Lab environment with potential exposure to biological and chemical hazards.
  • Physical ability to wear protective equipment and provide standard care to research animals.
Required Qualifications
  • Education: Bachelor’s degree
  • Certifications: None
  • Work Experience: Research (4 Years)
  • Skills: Not applicable
  • Driver’s License: Not required
Preferred Qualifications
  • Education: Master’s degree, Ph.D.
  • Certifications: None unless stated elsewhere
  • Work Experience: Laboratory Operations (2 Years)
  • Skills: Ability to Reason, Analytical Thinking, Big Data Processing, Bioinformatics, Communication, Complex Data Analysis, Data Management, Group Problem Solving, Laboratory Processes, Probabilistic Modeling, Problem Solving, Python, Report Writing, Statistics
Grade

R11

Salary Range

$55,200.00 - $ (Annually)

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one’s qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Benefits Statement

Personal

  • Up to 22 days of vacation, 10 recognized holidays, and sick time.
  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.
  • Free Metro transit U-Pass for eligible employees.
  • Defined contribution (403(b)) retirement savings plan with 7% university contribution starting at employee contributions.

Wellness

  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program, financial resources, access to dietitians.

Family

  • 4 weeks of caregiver leave to bond with new child; family care resources for continued childcare needs; adult care support.
  • WashU covers tuition cost for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility information, visit (Use the "Apply for this Job" box below)..

EEO Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

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