UNIV - Systems Programmer/ Developer II - Department of PHS/BMIC

  • R-0000048411
  • Charleston, South Carolina
  • Information Solutions
  • Technical Services
  • Full Time
  • University (UNIV)

Job Description Summary

The Biomedical Informatics program is seeking a programmer/developer to work under the Cancer Center shared resource (CIDER) program to support programming with these grants and others. This will include programming and data science research development in Python and R to support biomedical research projects, assisting with developing the infrastructure and setting up machine learning projects and server environments, helping with data extraction and processing and handling research data requests, working on documentation of code being developed, and collaborating with other research team members to prepare reports, assist with publications, presentations, and other various tasks throughout the grant process.

Entity

Medical University of South Carolina (MUSC - Univ)

Worker Type

Employee

Worker Sub-Type​

Research Grant

Cost Center

CC000955 COM Biomedical Informatics Center CC

Pay Rate Type

Salary

Pay Grade

University-06


Pay Range

47,588.00 - 67,817.00 - 88,047.000

Scheduled Weekly Hours

40

Work Shift

Job Description

Job Description:

The Biomedical Informatics program is seeking a programmer/developer to work under the Cancer Center shared resource (CIDER) program to support programming with these grants and others. This will include programming and data science research development in Python and R to support biomedical research projects, assisting with developing the infrastructure and setting up machine learning projects and server environments, helping with data extraction and processing and handling research data requests, working on documentation of code being developed, and collaborating with other research team members to prepare reports, assist with publications, presentations, and other various tasks throughout the grant process.

Job Duties:

1. 35% Perform data science research development tasks including programming in Python and R towards biomedical research projects. The focus of these projects will be primarily on natural language processing using advanced artificial intelligence techniques such as deep learning and large language models.

2. 20% Assisting with setting up the infrastructure to perform machine learning projects including but not limited to setting up the machine learning environment (e.g., Python environment, installation of required packages, setting up Docker containers, documentation of the setup) and server environment(s).

3. 20% Helping with data extraction and processing for machine learning, research or operational projects. Responsibilities will include assistance in handling research and operational data requests consultations and delivery.

4. 10% Work on documentation of the code being developed including explanation to researchers and detailed description of the tasks performed for inclusion on grants and in publications. This includes communication of the methods used through presentations to the research team as well bringing team members up-to-speed, and training staff, graduate assistants, or student employees on the methods described above.

5. 10% Prepare reports for colleagues, leadership, and scientific publications and presentation.

6. 5% Work with other team members and project managers as needed through meetings and collaborative programming to ensure that the assigned tasks are accomplished in a timely manner.

Additional Job Description

Minimum Requirements: A high school diploma and three years work experience in the modification and maintenance of system programs, the design and development of system software, or the testing and debugging of system software. An associate's degree or a bachelor's degree in a related field may be substituted for the required work experience. Physical Requirements: (Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work in confined/cramped spaces. (Infrequent) Ability to bend at the waist. (Frequent) Ability to fully use both hands/arms. (Continuous) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift, lower, push or pull objects 15 lbs. or more, unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected. (Continuous) Ability to see and recognize objects close at hand. (Continuous) Ability to see and recognize objects at a distance. (Continuous) Ability to match or discriminate between colors. (Continuous) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to hear and/or understand conversations. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Continuous) Ability to work in dusty areas. (Infrequent)

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees

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