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Job Description Summary
The Department of Pharmacology and Immunology at the Medical University of South Carolina (MUSC) invites applications for a tenure-track faculty position in Computational Biology, Bioinformatics, or Systems Biology at the rank of Assistant or Associate Professor. Exceptional candidates with a strong record of innovation and productivity will be considered.
Entity
Medical University of South Carolina (MUSC - Univ)
Worker Type
Employee
Worker Sub-Type
Faculty
Cost Center
CC001032 COM PHARM Administration CC
Pay Rate Type
Salary
Pay Grade
University-00
Pay Range
0.00 - 0.00 - 0.000
Scheduled Weekly Hours
40
Work Shift
Job Description
Faculty Position in Computational Biology and Bioinformatics
Department of Pharmacology and Immunology, Medical University of South Carolina (MUSC), Charleston, South Carolina
The Department of Pharmacology and Immunology at the Medical University of South Carolina (MUSC) invites applications for a tenure-track faculty position in Computational Biology, Bioinformatics, or Systems Biology at the rank of Assistant or Associate Professor. Exceptional candidates with a strong record of innovation and productivity will be considered.
We seek a scientist who develops and applies advanced computational, statistical, and data science approaches to address fundamental and translational questions at the interface of pharmacology and immunology. The successful candidate will leverage large-scale biological data to advance mechanistic understanding of immune regulation, drug responses, and disease pathogenesis, while contributing to the development of next-generation therapeutic strategies.
Areas of interest include, but are not limited to:

• Computational and systems immunology
  
• Single-cell, spatial, and multi-omics data analysis
  
• Systems pharmacology and drug response modeling
  
• Machine learning and AI approaches in biomedical research
  
• Computational approaches to immune-mediated diseases, cancer immunology, or host-pathogen interactions
  
• Integrative analysis linking molecular mechanisms to therapeutic response or precision medicine
  

The department is particularly interested in candidates who will bridge computational discovery with experimental and translational research programs in pharmacology and immunology. Faculty in the department study immune signaling, inflammation, cancer biology, host-pathogen interactions, neuroimmunology, and therapeutic target discovery, providing strong opportunities for collaborative team science.
The successful candidate will be expected to establish an independent, externally funded research program, contribute to interdisciplinary collaborations, and participate in the teaching and mentoring missions of the department, including graduate education.
The successful candidate will also have opportunities to contribute to the department’s vision of building a data-driven research ecosystem that integrates computational modeling, systems biology, and experimental discovery to accelerate therapeutic innovation in pharmacology and immunology.
Environment
The Department of Pharmacology and Immunology provides a collaborative and rapidly growing research environment with strengths spanning immunology, molecular pharmacology, cancer biology, and translational biomedical science. The department is committed to integrating data-driven discovery with mechanistic biology to advance therapeutic development. The department hosts internationally recognized laboratories working on translational and clinical multiomic spatialomics by mass spectrometry imaging integrating transcriptomics with metabolomics, lipidomics, glycomics and proteomics centered on immunology and therapeutics. The department boasts a state-of-the-art proteomics core integrative with multiomic metabolomic capabilities.
MUSC offers extensive opportunities for interdisciplinary collaboration through institutional programs in precision medicine, cancer research, genomics, bioinformatics, and clinical and translational science. Faculty benefit from robust institutional resources including high-performance computing, genomics and single-cell sequencing platforms, and biomedical data science infrastructure.
Charleston, South Carolina is a historic coastal city consistently ranked among the best places to live in the United States, offering an exceptional quality of life and vibrant academic community.
Qualifications
Applicants must hold a PhD, MD, or equivalent degree in computational biology, bioinformatics, systems biology, computer science, biostatistics, or a related discipline.
Successful candidates should demonstrate:

• A strong record of research productivity and innovation
  
• Evidence of independent research potential and the ability to obtain extramural funding
  
• Interest in collaborative interdisciplinary research at the interface of pharmacology, immunology, and data science
  
• Commitment to mentorship, graduate education, and academic citizenship
  

Application Instructions
Applicants should submit:

• A cover letter
  
• Curriculum vitae
  
• A research statement (2-3 pages) describing current work and future research directions
  
• A teaching and mentorship statement
  
• Contact information for three references
  

Applications will be reviewed on a rolling basis until the position is filled.
The Medical University of South Carolina is an Equal Opportunity Employer and encourages applications from women, minorities, veterans, and individuals with disabilities.
Additional Job Description
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 squat and perform job functions. (Infrequent) Ability to perform 'pinching' operations. (Infrequent) Ability to fully use both hands/arms. (Frequent) 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. (Infrequent) Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Infrequent) Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Infrequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected, in one eye or with both eyes. (Continuous) Ability to see and recognize objects close at hand. (Frequent) Ability to see and recognize objects at a distance. (Frequent) 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 perform gross motor functions with frequent fine motor movements. (Frequent)
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