Robotic Urologist: Growth, Team-Based Practice

Medical University of South Carolina; Camden (SC); On-site; USD 320,000 - 460,000; Full time

Benefits offered by this job

Competitive compensation

Paid malpractice coverage

CME allowance

Parental leave

Job summary

MUSC Health Advanced Urology and Women’s Health Center seeks a full-time, board-certified or -eligible Urologist to join our expanded team in Elgin, South Carolina. The role focuses on robotic cancer surgery and general male urology, with Endourology, in a collaborative setting with APPs and an experienced urologist/Urogynecologist.

This premier opportunity offers a balanced mix of inpatient and outpatient care, supported by modern facilities, Epic EHR, and a robust referral network within MUSC

Qualifications

• Board Certified or Board Eligible by the American Board of Urology.
• Successful completion of an ACGME-accredited Urology Residency Program.
• Must hold or be eligible for an unrestricted South Carolina Medical license.
• Robotic Surgery Experience.

Responsibilities

• Perform robotic cancer surgery along with general male urologic procedures and Endourology.
• Work in a collaborative, team-based environment with APPs and mentors.
• Provide high-quality patient care in a balanced inpatient/outpatient setting.

Skills

Robotic Surgery Experience

Team collaboration

Education

ACGME-accredited Urology Residency Program

Board Certified or Board Eligible by the American Board of Urology

Unrestricted South Carolina Medical license

Tools

daVinci Robotic Surgical System

Job description

MUSC Health Advanced Urology and Women’s Health Center seeks a full-time, board-certified or -eligible Urologist to join our expanded team in Elgin, South Carolina. The role focuses on robotic cancer surgery and general male urology, with Endourology, in a collaborative setting with APPs and an experienced urologist/Urogynecologist.

This premier opportunity offers a balanced mix of inpatient and outpatient care, supported by modern facilities, Epic EHR, and a robust referral network within MUSC