Jobs at Parexel
Are you ready to make your mark in the healthcare industry using your ingenuity and technical expertise? At Parexel, there's no limit to what you can accomplish. We work with the top 50 global pharmaceutical companies, the top global biotech companies, and hundreds of small and emerging companies. We've supported the development of some of the most important treatments of our time, including nearly all of the 50 top selling drugs currently on the market. Join us and you'll make a profound difference in millions of lives. With a role in our Information Technology group, you'll work with cutting-edge technology on internal and client-facing projects. Collaborating with people from all over the world and touching everything from enterprise systems and clinical applications to infrastructure and networking, you'll keep our data safe and confidential. You'll have the chance to develop your skills and pursue advancement opportunities that include managerial and technical tracks. If you have stellar coding and design experience and a passion to learn more about healthcare, Parexel invites you to discover our rewarding opportunities in Enterprise Architecture, Software Development, Project Management and Business Analysis, and more. In a global clinical trial environment, business-focused applications, connectivity, and data security are critical to a trial's outcome. Find out how you can be an invaluable part of our success story.
Real-World Data (RWD) Intern
Job ID R0000038075 Seoul, Seoul, South KoreaThe Real-World Data (RWD) Intern will support the Scientific Data Strategy team's work, assisting in the identification, assessment, and management of real-world data sources to provide data support for clinical research.
This role may work as contractor (4-5 days a week for 4-5 months)
This role may require travelling to sties in Korea if needed (not a monitoring role, but to meet with site staffs when needed)
Educational Requirements
Master's or PhD student (currently enrolled) in fields including but not limited to:
Clinical Research-related fields
Epidemiology
Public Health
Pharmaceutical Sciences
Core Responsibilities
1. Data Source Identification and Assessment
Assist in recognizing gaps in Parexel's real-world data coverage
Support identification and assessment of RWD sources across relevant regions
Help maintain and update the RWD sources catalog
2. Data Knowledge Management
Learn and understand existing real-world scientific datasets
Maintain and update knowledge of regulations on access to secondary data in relevant regions
Assist in developing descriptive content for capability presentations, proposals, etc.
3. Partnership Support
Assist in building relationships with RWD partners
Support decision-making on strategic partnerships
Coordinate with internal teams (e.g., Data Solutions Architects) to match project needs with data assets
Skills Requirements
Technical Skills
Understanding of foundational data science principles, techniques, and methodologies
Familiarity with common data science tools
Basic knowledge of the clinical research process
Understanding of medicines and medical device development
Knowledge of real-world data applications in the pharmaceutical and biotech industry
Soft Skills
Well organized with excellent oral and written communication skills
Strong interpersonal skills
Ability to work independently while being a team player
Analytical and problem-solving skills
Ability to manage multiple projects and priorities
Proactive desire to learn from experienced team members
Ability to adapt in the quickly evolving RWD business environment
Language Requirements
Fluency in English (verbal and written) is mandatory
Knowledge of additional languages is a merit
Additional Requirements
Ensure compliance with operating standards, policies, regulations, SOPs, privacy and data security standards
Attend team meetings on a regular basis to ensure team objectives are met
Communicate status of assigned work promptly, including significant changes
Development Opportunities
This internship position provides opportunities to develop professional skills in the rapidly growing real-world data field, with potential to develop into an advanced and specialized domain expert.
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