How does swipeandhired work?

You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

No. Your resume and application data are processed only to run the service for you, matching, drafting, and submitting applications. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

UNIV - Staff Scientist I - Department of PHS at Musc, Charleston

UNIV - Staff Scientist I - Department of PHS at Musc in Charleston. Full-time. Est. up to $100k. Apply with swipeandhired.

Designs, develops, and maintains large language model (LLM), retrieval-augmented generation (RAG), and natural language processing (NLP) systems for research across MUSC, including infrastructure for the Cancer Integrated Data-Enabled Resource (CIDER) that supports research at Hollings Cancer Center. Collaborates with clinical, educational, and research teams to identify requirements and obtain the data needed to build, validate, and deploy AI-enabled research tools. Partners with investigators and project teams across MUSC to define requirements for new research initiatives. Designs and conducts experiments to evaluate model outputs for accuracy, reliability, and fitness for research use, and prepares manuscripts and presentations for scientific dissemination. Develops, implements, and oversees procedures to ensure the security, availability, and compliant operation of AI applications and supporting infrastructure. Contributes to the development and implementation of long-term plans for AI-enabled research tools and responds to requests from research teams for AI-enabled tools and analyses.
Entity
Medical University of South Carolina (MUSC - Univ)
Worker Type
Employee
Worker Sub-Type
Research Grant
Cost Center
CC001038 COM PHS Operations 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
Job Description:
Designs, develops, and maintains large language model (LLM), retrieval-augmented generation (RAG), and natural language processing (NLP) systems for research across MUSC, including infrastructure for the Cancer Integrated Data-Enabled Resource (CIDER) that supports research at Hollings Cancer Center. Collaborates with clinical, educational, and research teams to identify requirements and obtain the data needed to build, validate, and deploy AI-enabled research tools. Partners with investigators and project teams across MUSC to define requirements for new research initiatives. Designs and conducts experiments to evaluate model outputs for accuracy, reliability, and fitness for research use, and prepares manuscripts and presentations for scientific dissemination. Develops, implements, and oversees procedures to ensure the security, availability, and compliant operation of AI applications and supporting infrastructure. Contributes to the development and implementation of long-term plans for AI-enabled research tools and responds to requests from research teams for AI-enabled tools and analyses.

Job Duties:

35% Conduct research and engineering for CIDER in support of cancer research, including designing, building, evaluating, and maintaining LLM and RAG systems for clinical data; developing retrieval, prompting, and evaluation methods; and validating outputs for research projects.
30% Develop, deploy, and maintain AI-assisted research pipelines and applications—such as LLM-assisted coding of clinical transcripts and adaptive learning tools—in secure, controlled environments. Responsibilities include managing cloud-hosted LLM services, containerization, monitoring, reliability, and costs.
15% Design and conduct experiments to evaluate AI methods, including benchmark evaluations and model comparisons; analyze and interpret results; and prepare manuscripts for peer-reviewed journals and conferences.
15% Prepare reports, presentations, manuscript methods sections, and proposal materials for research colleagues and institutional leadership. Gather requirements for new and ongoing funded studies by collaborating with investigators, clinical and educational teams, and data owners to define use cases, data sources, and validation criteria.
5% Collaborate with team members and project managers through meetings and collaborative programming to ensure assigned tasks are completed accurately and on schedule.

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. (Continuous) Ability to perform job functions in a seated position. (Continuous) Ability to perform job functions while walking/mobile. (Frequent) Ability to climb stairs. (Infrequent) Ability to work indoors. (Continuous) Ability to work in all cold temperature extremes, i.e. spot coolers. (Frequent) Ability to bend at the waist. (Frequent) Ability to twist at the waist. (Frequent) Ability to perform 'pinching' operations. (Continuous) Ability to fully use both hands/arms. (Continuous) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Continuous) Ability to fully use both legs. (Continuous) Ability to reach in all directions. (Continuous) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to maintain good olfactory sensory function. (Continuous) Ability to lift and carry 30 lbs., unassisted. (Frequent) Ability to lift objects, up to 30 lbs., from floor level to height of 72 inches, unassisted. (Frequent) Ability to lower objects, up to 30 lbs., from height of 72 inches to floor level, unassisted. (Frequent) Ability to push/pull objects, up to 50 lbs., unassisted. (Infrequent) Ability to lift and carry objects up to 30 lbs. a distance of five (5) floors and to outlying buildings. (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 perform gross motor functions with frequent fine motor movements. (Continuous) Ability to be qualified physically (by medical personnel) for respirator use, initially and annually. Ability to work alone in isolated areas, such as darkrooms. (Frequent) Additional New Requirements: Ability to obtain and maintain a valid drivers license. Computer literacy. Ability to work rotating shifts as required. Ability to work overtime as required. Ability to learn and use new processes, tools and equipment as required.
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