Bioinformatics Research Assistant (Part-Time) - Medical Oncology

Washington University in St. Louis; Missouri; In loco; USD 24.000 - 40.000; Part-time

Descrizione del lavoro

Washington University in St. Louis is seeking a Bioinformatics Research Assistant (Part-Time) to assist with computational data analysis in the Division of Oncology.

The role supports RNA cancer biology research focusing on lncRNA-protein interactions and RNA modifications, within a laboratory setting on the Washington University Medical Campus. The position is 20 hours/week, with potential continuation to a full-time role.

Competenze

• Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• 1 year of relevant experience preferred.
• No specific certification required.

Mansioni

• Assists with existing algorithms and software for omics data analysis.
• Supports data management, storage, and dissemination of large datasets.
• Collaborates with the research team to report methods, data, and results.

Conoscenze

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

Formazione

Bachelor’s degree

Descrizione del lavoro

## Bioinformatics Research Assistant (Part-Time) - Medical OncologyApply: On Campus/Onsite: Washington University Medical Campus: Part time: Posted Today: JR98135# **Location**SAINT LOUIS, MO 63110# **Scheduled Hours**20# **Position Summary**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.# **Job Description****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:**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. 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:**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.# **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:**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 / HourlyThe 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**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.