Lead Bioinformaticist: Neurodegeneration & Aging Omics

Washington University in St. Louis

St. Louis (MO)

On-site

USD 55,200 - 100,000

Full time

14 days+
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Benefits offered by this job

Vacation and holidays
Health insurance
Metro U‑Pass transit benefit
Tuition coverage for you and family
Retirement plan (403b)
Wellness programs

Job summary

Washington University in St. Louis is seeking a Bioinformaticist to lead multi-omics and genetics projects focused on aging, neurodegenerative diseases, and precision medicine. The role requires independent project leadership, collaboration support, grant reporting, and building computational infrastructure.

Responsibilities include experiment design, data analysis, and documenting results. Education: Bachelor's required; Master’s or PhD preferred. Minimum 4 years of research experience.

Qualifications

  • Bachelor’s degree in a relevant field required.
  • 4 years of research experience.
  • Strong foundation in multi-omics data analysis.
  • Experience with grant reporting is a plus.

Responsibilities

  • Design algorithms and software for high-throughput omics data.
  • Develop data-management and analysis solutions for large datasets.
  • Lead independent research projects and design protocols.
  • Perform complex data analyses and write interpretive reports.
  • Evaluate commercial and academic bioinformatics software.
  • Train researchers in analysis software and databases.
  • Assist with grant preparation and reporting of methods and results.
  • Resolve equipment/test subject issues and propose improvements.

Skills

Analytical thinking
Big data
Bioinformatics tools
Computational biology
Data management
Python
Perl
Linux
Statistics
Communication
Teamwork

Education

Bachelor’s degree
Master’s degree or PhD preferred

Tools

Bioinformatics tools
High-throughput analysis tools

Job description

Position Summary

Location

SAINT LOUIS, MO 63110

Scheduled Hours

40

Position Summary

The Albanus Lab in the Department of Neurology is searching for a Bioinformaticist. The successful candidate will independently lead projects integrating multi-omics (single-cell RNA- and ATAC-seq, spatial transcriptomics) and genetics to understand the biology of human aging, with a focus on neurodegenerative diseases and personalized medicine. The candidate will lead research projects in the lab with full independence and provide support for collaborations, grant reporting, and computational infrastructure.

Assists in developing and conducting research projects, including experiment design, data analysis, and documentation of experiment results.

Job Description

Primary Duties & Responsibilities:

Designs, Develops, And Implements:

  • Algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic/proteomic/clinical).
  • Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
  • Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.
  • Performs complex systems analysis of data and writes interpretative reports.
  • Evaluates commercial and academic bioinformatics software.
  • Trains other researchers on the everyday use of analysis software and research databases.
  • Assists with grant preparation and reporting of methods, data, and results.
  • Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods

Working Conditions:

Job Location/Working Conditions

  • Normal Office Environment

Physical Effort

  • Typically Sitting at a desk or table

Equipment

  • Office Equipment

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Education:

Required Qualifications

Bachelor's degree

Certifications/Professional Licenses:

No specific certification/professional license is required for this position.

Work Experience:

Research (4 Years)

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

More About This Job

WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.

Education:

Preferred Qualifications

Master's degree, Ph.D. - Doctor of Philosophy

Certifications/Professional Licenses:

No additional certification/professional licenses unless stated elsewhere in the job posting.

Work Experience:

No additional work experience unless stated elsewhere in the job posting.

Skills:

Analytical Thinking, Big Data Processing, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Data Management, Group Problem Solving, Linux, Perl Programming, Python (Programming Language), Statistics

Grade

R11

Salary Range

$55,200.00 - $100,000.00 / 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.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

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.
  • Take advantage of our free Metro transit U-Pass for eligible employees.
  • WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

  • We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.
  • WashU covers the cost of tuition 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, please visit: https://hr.wustl.edu/benefits/

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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