The MD Anderson Department of Systems Biology is an interdisciplinary department that is pushing the boundaries of cancer research by integrating technology development, bioengineering, data science, and systems biology. We leverage our massive clinical resources and unmatched access to patient tissue samples to study some of the biggest questions in the cancer field, on topics that include premalignant progression, metastatic dissemination, and therapeutic resistance. Our faculty members represent top-notch scientists working in diverse areas of cancer research and commonly use multi-omic approaches to understand the interaction of genotypes and phenotypes at single cell and spatial resolution.SYSTEMS BIOLOGY (https://www.mdanderson.org/research/departments-labs-institutes/departments-divisions/systems-biology.html)KEY FUNCTIONSDepartment Support
Responsible for providing IT support for the department.
Makes request via CEMS for all new positions, replacements, supplemental requests and transfers as needed.
Setup of all new computers.
Making sure they are operational and that new employees are able to access all necessary applications.
Work with IT to make sure all computers are refreshed as scheduled.
Acts in a proactive manner to address any departmental IT issues and communicates issues promptly and effectively.
Department Server Management
Assist in the management of the department server.
With the guidance of the Quantitative Research Computing (QRC) team, will manage the data on the server.
Data is generated from a variety of different technologies.
Ensure that data can be transferred to the correct users and faculty.
Manage the backup and user permissions for the server.
Work closely with QRC to maintain IT standards, cyber security and updated processes.
Asset Management
Maintains the department asset management database.
Maintains offsite authorizations.
Works with department staff to complete yearly asset inventory of all computers and other tagged mobile devices.
Acts as a consultant to the department in the analyzing, planning, and implementation of infrastructure projects.
Creates, implements and updates project plans, documentation, schedules, deliverables, and communication plans for all new PIs.
Requests resources from management or Information Systems as needed to complete projects and enhance the computer functionality in the department.
Analysis, Diagnosis, Problem Solving, and Customer Service.
Analyzes source documents, database structure and management report requirements.
Diagnosis system problems and provides appropriate technical solutions.
Monitors system performance and implements corrections to improve performance and manageability.
Resolves complex and non-routine hardware, software and operating system and integration problems that relate to supported systems.
Provides exceptional customer service in mitigating departmental staff IT concerns and complaints.
Provides timely responses to department staff, faculty and institutional staff
Ensures that all operating systems are up to date and working efficiently on a regular basis
Other duties as assigned.
EducationRequired: Bachelor's degree.Preferred: Master's degreeExperienceRequired: Two years of experience in analysis/design/project management/programming. May substitute required education degree with additional years of equivalent experience on a one to one basis.Preferred: Experience with Red Hat Linux, Server Administration, Unix, Python and R statistics.It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.htmlAdditional Information
Requisition ID: 170152
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
Minimum Salary: US Dollar (USD) 75,000
Midpoint Salary: US Dollar (USD) 94,000
Maximum Salary : US Dollar (USD) 113,000
FLSA: exempt and not eligible for overtime pay
Fund Type: Hard
Work Location: Onsite
Pivotal Position: Yes
Referral Bonus Available?: No
Relocation Assistance Available?: Yes
Science Jobs: No
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