Scheduled Hours

40

Position Summary

The Department of Radiation Oncology at Washington University is seeking an experienced Bioinformatics Scientist to support Wash U's Radiation Oncology-Biology Integration Network (ROBIN) Center. This cross-disciplinary center aims to integrate genomics, proteomics, metabolomics, and radiomics to understand the impact of radiation treatment on the tumor microenvironment in cervical and pancreatic cancer. The Bioinformatics Scientist position will be based in Radiation Oncology in the Schwarz Lab but will work collaboratively with both the Ben Major and Jin Zhang Groups. We are a diverse group of clinical, physics, biology and computational science investigators who collaborate to answer fundamental questions about radiotherapy efficacy and cancer biology. The ideal candidate will have broad experience interpreting sequencing data from large cancer-related datasets and be local to the St. Louis area to facilitate in person meetings throughout the week with a large research team.

Job Description

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.

Required Qualifications

Education:

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

Preferred Qualifications:

• Masterâ™s degree or PhD in statistics, bioinformatics, computational biology, or related field.
• Experience analyzing large cancer-related single-cell/nucleus sequencing datasets, including custom subclustering, cell annotations as well as the ability to do integrated analysis with ATACSeq data.
• Experience analyzing exome and Bulk RNA sequencing.
• Experience collaboratively developing and implementing bioinformatics pipelines.
• Experience with metabolomics or spectrometry-based proteomics.
• Experience with spatial data analysis including multiplex IHC and CODEX.
• Familiarity executing bioinformatics pipelines in local UNIX/Linux environments and cluster execution (LSF).
• Proficiency in scientific programming languages including Python and R.
• Willingness to learn new platform, perform and trouble shoot new integrative analysis across platforms, and work with a large multi-disciplinary research team.
• Excellent communication, organizational and project management skills.

Preferred Qualifications

Education:

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, Discrete Mathematics, Group Problem Solving, Java, Perl Programming, Probabilistic Modeling, 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? Weâ™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 Universityâ™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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