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Bioinformatician (Service Assistant Professor) - Department Of Medical Oncology

West Virginia UniversityMorgantown, WV

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote

Job Description

Bioinformatician (Service Assistant Professor)

Department of Medical Oncology

The West Virginia University (WVU) School of Medicine, located in Morgantown, WV, seeks an innovative, dynamic, and collaborative researcher and mentor to serve as Bioinformatician (Service Assistant Professor) non-tenure in the Department of Medical Oncology in the Cancer Institute.

The Bioinformatician will be responsible for reviewing and extracting data collected from researchers at the Department of Medical Oncology. This role involves providing programming services, responding to inquiries, and independently resolving matters of low to moderate complexity. The position requires judgment, resourcefulness, and originality.

Key Responsibilities:

  • Review files and compile necessary information for the online database.
  • Enter and correct alphabetic and numeric data.
  • Operate office equipment such as photocopiers and shredders as needed.
  • Assist functional and executive staff with service preparation and provision.
  • Consult on needs, make suggestions, and assess outcomes for quality and compliance.
  • Coordinate tasks and projects with another on-site bioinformatics technician.
  • Research, compose, type, read, sort, code, process, transmit, and file documents.
  • Maintain knowledge of professional principles, legal requirements, and industry standards.
  • Develop or maintain applications for processing biologically based data into searchable databases.
  • Enter or retrieve information from structural databases.
  • PhD in Bioinformatics, Computer Science, or a related field
  • Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
  • Understanding of plant and animal organisms, their tissues, cells, functions, and interactions.
  • High perceptual speed for comparing similarities and differences among sets of data.
  • Proficiency in administrative and clerical procedures, including word processing and managing files.
  • Knowledge of electronic equipment and computer software applications.
  • Strong logical reasoning and problem-solving skills.
  • Attention to detail and time management skills.
  • Ability to read, comprehend, and write simple correspondence.
  • Effective presentation skills in one-on-one and small group settings.
  • Ability to deal with problems involving several concrete variables in standardized situations.

An on-campus office is provided, with opportunities for hybrid work.

Review of applications will begin immediately and continue until the position is filled.

Electronic submission of application and supporting materials will be accepted including a cover letter, CV, research statement, and contact information for 3 references can be made at: https://wvu.taleo.net/careersection/faculty/jobdetail.ftl?job=29930

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FAQs About Bioinformatician (Service Assistant Professor) - Department Of Medical Oncology Jobs at West Virginia University

What is the work location for this position at West Virginia University?
This job at West Virginia University is located in Morgantown, WV, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at West Virginia University?
Employer has not shared pay details for this role.
What employment applies to this position at West Virginia University?
West Virginia University lists this role as a Full-time position.
What experience level is required for this role at West Virginia University?
West Virginia University is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at West Virginia University?
You can apply for this role at West Virginia University either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.