Medical Surv Specialist 1

• Provide a wide range of medical surveillance support (including monitoring of clinical laboratory data for subjects in clinical studies and composing medical narratives and interfacing with investigator sites. )
• Essential Functions
  Monitor, and evaluate laboratory results on a daily basis from sponsor-designated central laboratory Evaluating and analyzing laboratory data at agreed frequency from sponsor-designated data management system/eDC platform
• Conduct preliminary review of laboratory results relative to established protocol-specific reference range guidelines, using relevant clinical laboratory experience and compares current results with prior laboratory values to evaluate or note clinically significant increases/decreases and contacts the investigator site for pertinent additional clinical contact for distribution to project team
  
• Serve as liaison between the Medical Services Department and sponsor-designated laboratory and the IQVIA Project Team
  Maintain up-to-date laboratory knowledge via continuing education activities or attendance at medical seminars
• Based on clinical laboratory and monitoring experience, identify potentially significant trends or shifts in laboratory results and alerts IQVIA Medical Advisors
  Interact with project team to convey critical information that may impact study objectives
• Work with central laboratory staff to facilitate appropriate monitoring and reporting of subject laboratory results
  Assists Lead Medical Surveillance Specialist with project set-up activities Attends project team meetings, as needed Performs other related duties as assigned

Qualifications

• Bachelors Degree Life Sciences or allied health sciences, ie pharmacy, biochemistry, microbiology, biotechnology, nursing, biotechnology, medical laboratory sciences, physiotherapy
  health care ie medical (allopathy, homeopathy, ayurveda), or dentistry,
• 2 to 6 years relevant experience with a minimum 2. 5 years of medical surveillance experience (req).
  r equivalent combination of education, training and experience.
• Strong technical ability to comprehend and integrate scientific data from a variety of sources. Strong communication
  skills, both written and verbal. Demonstrated computer skills, especially word processing and data management. Strong analytical and organizational skills and attention to detail required.