Bioinformatics Scientist - Radiation Oncology

Bioinformatics Scientist - Radiation Oncology Washington University in St Louis - 3.9 St. Louis, MO Job Details Full-time $55,200 - $100,000 a year 1 day ago Benefits Commuter assistance Caregiver leave Employee assistance program 403(b) Qualifications Bioinformatics Research design Statistics Doctoral degree in statistics Data storage Next generation sequencing Statistics Biostatistics-based research Big data R UNIX Data reporting Computational Biology Mid-level Java Master's degree Databases Analysis skills Project management Bachelor's degree Ph.D. in statistics Doctor of Philosophy Scientific protocols Perl Algorithm design Software development Developing data pipelines Research data analysis Master's degree in bioinformatics Bioinformatics data analysis Software training Communication skills Python Under 1 year Full Job Description 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 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.

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:

Master'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 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 and especially encourages applications by those from underrepresented groups. 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, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. Washington University is dedicated to building a community of individuals who are committed to contributing to an inclusive environment - fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.