Bioinformatics Research Analyst - Neurology

Washington University in St. Louis; Watervliet Township (MI); On-site; USD 42,000 - 76,000; Full time

Benefits offered by this job

Vacation & holidays

Health insurance

Metro U-Pass

Retirement plan (403(b))

Job summary

Washington University in St. Louis, Department of Neurology, seeks a Bioinformatics Research Analyst to join the NeuroGenomics and Informatics Center (NGI).

This role suits someone with a completed Master’s degree who wants to apply bioinformatics to biomedical research, handling big-data projects that integrate genetics, multi-omics, clinical and histopathology data to better understand Alzheimer’s disease and related dementias.

Qualifications

• Education: Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• Certifications: No specific certification/professional license required.
• Work Experience: Relevant Experience (2 Years).
• Skills: Not Applicable.

Responsibilities

• Implements: Algorithms and computer software for analyzing omics-based data sets; Data management and analysis solutions for large data sets.
• Coordinates research project with other investigators and institutions.
• Participates in developing hypotheses and experimental design.
• Assists with reporting of methods, data and results.

Skills

Alzheimer’s Disease

Analytical Thinking

Bioinformatics Tools

Communication

Complex Data Analysis

Computational Biology

Functional Genomics

Gene Expression Microarray

Genome Sequencing

Group Problem Solving

Human Genetics

Java Programming

MATLAB

Model Organism

Python Programming

Education

Bachelor’s degree

Master’s degree

Job description

Location

ST. LOUIS, MO 63108

Scheduled Hours

40

Position Summary

The WashU Medicine, Department of Neurology, has an opening for a Bioinformatics Research Analyst to join the NeuroGenomics and Informatics Center (NGI). This position is ideally suited for individuals that have finalized their scientific Masters degree to hone their bioinformatics skills in the context of biomedical research. The successful candidate will be involved in projects that handle big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to better understand Alzheimer’s disease and related dementias.

Overall, this research will contribute importantly to the discovery of novel risk genes, steer basic research and drug development, and advance personalized medicine. The successful candidate will also help with assisting ongoing research in the lab, providing support on matters such as grant reporting, working with collaborators, data applications and storage, lab orders, establishing documentation and protocols, etc

Job Description

Primary Duties & Responsibilities:

• Implements: Algorithms and computer software for analyzing 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.

• Coordinates research project with other investigators and institutions.

• Participates in developing hypotheses and experimental design.

• Assists with reporting of methods, data and results.

Working Conditions:
Job Location/Working Conditions

• Works in a laboratory environment with potential exposure to biological and chemical hazards

• Must be physically able to wear protective equipment and to provide standard care to research animals

• Normal office environment.

Physical Effort

• Typically sitting at desk or table.

• Repetitive wrist, hand or finger movement (PC Typing).

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.

Required Qualifications

Education:

Bachelor’s degree or combination of education and/or experience may substitute for minimum education.

Certifications** /Professional Licenses :

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

Work Experience:

Relevant Experience (2 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.

Preferred Qualifications

Education:

Master’s degree

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:

Alzheimer’s Disease, Analytical Thinking, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Functional Genomics, Gene Expression Microarray, Genome Sequencing, Group Problem Solving, Human Genetics, Java (Programming Language), MATLAB, Model Organism, Python (Programming Language)

Grade

R09

Salary Range

$41,700.00 - $75,600.00 / 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 [e-mail] 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.