Bioinformatics Research Assistant – Medical Oncology

Washington University in St. Louis; St. Louis (MO); On-site; USD 24,000 - 40,000; Part time

Job summary

Washington University in St. Louis in St. Louis, MO is seeking a Bioinformatics Research Assistant to support hematological malignancies and breast cancer research in the Silva-Fisher RNA Cancer Biology lab.

The role includes computing data analyses, documentation, and method reporting in a part-time, 6-month position with potential continuation to a full-time 40-hour week staff role. The candidate will work with omics datasets, develop new algorithms, and ensure thorough data reporting under

Qualifications

• Bachelor's degree or combination of education and/or experience may substitute for minimum education.
• No specific certification/professional license is required for this position.
• No specific work experience is required for this position.

Responsibilities

• Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets, data management and analysis solutions that assist in storage, investigation and dissemination of large data sets.
• Works with research team to develop new algorithms to support studies.
• Assists with reporting of methods, data and results.

Skills

Analytical thinking

Bioinformatics

Bioinformatics tools

Biostatistics

Communication

Complex data analysis

Computational biology

Computer science

Critical reasoning

Data management

Data reporting

Datasets

Genomics research

Human genetics

Microarrays

Model organism

Problem solving

Sequence analysis

Education

Bachelor's degree

Job description

Bioinformatics Research Assistant

WashU, Division of Oncology, in the laboratory of Dr. Jessica Silva Fisher is seeking a Bioinformatics Research Assistant to assist with research projects including computational data analysis and documentation in the field of hematological malignancies and breast cancer. The Silva-Fisher lab is a RNA Cancer Biology lab that focuses on identifying and characterizing lncRNA-protein interactions and RNA modifications. This position assists with research projects including computational data analysis and documentation of experimental results. This will be a part-time position for 6 months with options for continuation to a full time 40 hour week employee paid position.

Primary Duties & Responsibilities:

• Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets, data management and analysis solutions that assist in storage, investigation and dissemination of large data sets.
• Works with research team to develop new algorithms to support studies.
• Assists with reporting of methods, data and results.

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.

Equipment:

• Office equipment.

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: No specific work experience is required for this position.
• Skills: Not Applicable
• Driver's License: A driver's license is not required for this position.

Preferred Qualifications:

• Education: No additional education unless stated elsewhere in the job posting.
• Certifications/Professional Licenses: No additional certification/professional licenses unless stated elsewhere in the job posting.
• Work Experience: Relevant Experience (1 Year)
• Skills: Analytical Thinking, Bioinformatics, Bioinformatics Tools, Biostatistics, Communication, Complex Data Analysis, Computational Biology, Computer Science, Critical Reasoning, Data Management, Data Reporting, Datasets, Genomics Research, Human Genetics, Microarrays, Model Organism, Problem Solving, Sequence Analysis

Grade:

R07-H

Salary Range:

$17.10 – $29.09 / Hourly 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.

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

Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of 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 or shared ancestry, 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. As a federal contractor, the university maintains affirmative action programs to implement its equal employment opportunity policy for individuals with disabilities and protected veterans, in accordance with Section 503 of the Rehabilitation Act of 1973, as amended, and the Vietnam Era Veterans' Readjustment Assistance Act of 1974 (VEVRAA), as amended.

Tagged as: Life Sciences