Job Description Summary

The Biomedical Informatics Center is seeking a candidate to help us transform the approach to healthcare by harnessing the capabilities of multidisciplinary microbiome research to personalize treatments by integration of health data on individuals, communities, and populations. At MUSC Program for Human Microbiome Research, we catalyze human health research by discovering actionable host and microbiome interactions in vivo, in vitro, and in silico. We have a number of research studies in our pipeline in areas such as colorectal, pancreatic, and oral cancer, systemic diseases, as well as research at the intersection of oral and physical health. These studies need your quantitative expertise in data analysis to make new translational advances and change what’s possible in healthcare.

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

Hourly

Pay Grade

University-05

Pay Range

$23,885 - $34,042 - $44,199

Scheduled Weekly Hours

40

Work Shift

Job Description

Salary Range: Band 5
$35,360.00 $50,394.00 $65,429.00

Job Purpose:
Help us transform the approach to healthcare by harnessing the capabilities of multidisciplinary microbiome research to personalize treatments by integration of health data on individuals, communities and populations. At MUSC Program for Human Microbiome Research we catalyze human health research by discovering actionable host and microbiome interactions in vivo, in vitro, and in silico. We have a number of research studies in our pipeline in areas such as colorectal, pancreatic and oral cancer, systemic diseases, as well as research at intersection of oral and physical health. These studies need your quantitative expertise in data analysis to make new translational advances and change what’s possible in healthcare.

You will work within the Biomedical Informatics Center (BMIC) and be a part of the Department of Public Health Sciences community of computer scientists, biostatisticians, epidemiologists and biomedical scientists as well as the broad MUSC scientific community. In addition, you will be a valuable contributor to the newly formed Center for Environmental and Biomedical Panomics (CEABP), which uses technology to harmonize the anthroposphere by leveraging local, state, federal, and international partnerships for sustainable health and environment advancement through research, education, commercialization, and advocacy. CEABP works with federal (NOAA, NIST), state (SC DNR), and other academic partners (College of Charleston) at the unique Hollings Marine Laboratory. Your day-to-day responsibilities will be to implement analysis of high-throughput human microbiome datasets, learn emerging techniques for analysis of such data, and assist in benchmarking our own cutting-edge solutions to data analysis problems in the microbiome research.

Minimum Training and Education
A bachelor's degree and one-year of professional experience involving the collection, analysis, interpretation, and presentation of quantified data. A master's degree in statistics may be substituted for the required work experience.

Preferred Requirements:
Master's degree in Biostatistics, Statistics, Mathematics, Computer Science or a related quantitative discipline. Candidates with a Bachelor’s degree in a related discipline or a Master's degree in biomedical sciences with significant quantitative experience may be considered.

Guidelines and Supervision
Incumbent must be able to work independently.

Additional Knowledge, Skill, and Ability Preferred
- Experienced with statistical analysis is R and/or Matlab or other statistical programming environments with the aptitude to learn new tools and methods.
- Experience with maintaining research data
- Organized and able to work independently on defined projects
- Able to search statistical and bioinformatics literature and software libraries for existing solutions to problems
- Strong communicative skills
Highly preferred:
Experience with biomedical research data, bioinformatics, and high-dimensional data.

Additional Duties and Responsibilities

Description of the MUSC Environment: The Biomedical Informatics Center: The Biomedical Informatics Center (BMIC) includes a dedicated team of Informatics experts, software engineers, and research support services under the leadership of the Chief Research Informatics Officer. This team has an established track record and has been heavily immersed in the development and installation of several research infrastructural systems including a large Clinical Data Warehouse. The team is co-located in a dedicated office building at MUSC and works collaboratively on all informatics projects. This collaborative development process allows sharing of best practices, expertise, and reusable code. Team members have attended and presented work at several national meetings. The BMIC has diverse funding including an institutional commitment of funds from MUSC, funding from Health Sciences South Carolina, and the National Institutes of Health.

The Department of Public Health Sciences creates an environment that continually provides opportunities and challenges for novel and creative approaches and solutions to biomedical research. The faculty with diverse backgrounds and expertise in biostatistics (including Bayesian methods, clinical

trials designs, missing data handling, survival analyses, clustered data analyses), epidemiology (including cancer, central nervous system injury, neurological disorders, autism, diabetes, and infectious diseases), and behavioral and social sciences provide a synergistic environment for students to actively pursue cross-disciplinary methodological and applied research in public health.
The BMIC and DPHS are home for a new cutting-edge joint Clemson-MUSC Ph.D. program in Biomedical Data Sciences and Informatics and other training programs enriching the intellectual environment for this position.

Job Duties:
Essential - Analyze data using statistical and informatics techniques using statistical analysis software packages. The candidate will use existing statistical packages to analyze data provided by the supervisor. Percent: 35

Essential - Prepare reports on statistical methods and results of their application to data analysis projects. The candidate will create tables, figures, and other visuals and narratives describing the analyses performed. Percent: 25

Essential - Maintain research data for ongoing projects. The candidate will be responsible for accessing, organizing, and depositing to public repositories research data as directed by the supervisor. Percent: 20

Essential - Research existing solutions in statistical and bioinformatics literature and software libraries. The candidate will work with libraries and online research resources to find literature describing statistical solutions. Percent: 20

MUSC Minimum Training and Experience Requirements:

A bachelor's degree and one-year of professional experience involving the collection, analysis, interpretation, and presentation of quantified data. A master's degree in statistics may be substituted for the required work experience.

MUSC 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 outdoors in all weather and temperature extremes. (Infrequent)
Ability to work in confined/cramped spaces. (Infrequent)
Ability to perform job functions from kneeling positions. (Infrequent)
Ability to bend at the waist. (Frequent)
Ability to squat and perform job functions. (Infrequent)
Ability to perform 'pinching' operations. (Infrequent)
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 and carry 15 lbs., unassisted. (Frequent)
Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Frequent)
Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Frequent)
Ability to push/pull objects, up to 15 lbs., unassisted. (Frequent)
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 maintain hearing acuity, with correction. (Continuous)
Ability to hear and/or understand whispered conversations at a distance of 3 feet.
Ability to perform gross motor functions with frequent fine motor movements. (Continuous)
Ability to work in dusty areas. (Infrequent)

Additional Job Description

A bachelor's degree and one year professional experience involving the collection, analysis, interpretation and presentation of quantified data. A master's degree in statistics may be substituted for the required work experience.

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