Research Assistant (Project RODEO)

Job Description:

We are seeking a highly motivated and talented individual to join our team as a Research Assistant. The successful candidate will work on a project aimed at curating core real-world datasets in non-small cell lung cancer, ovarian cancer, and multiple myeloma. The aim of this project is to facilitate the efficient, accurate, and reliable use of real-world data in health technology assessment (HTA).

Responsibilities:

• Collect, organize and clean real-world data from multiple sources such as electronic health records, claims databases, and clinical registries.
• Work closely with senior researchers to identify and extract relevant variables from the data sources.
• Apply appropriate statistical and/or machine learning techniques to analyze the data and generate insights.
• Participate in the development and validation of predictive models and algorithms using real-world data.
• Conduct literature searches and reviews on related topics.
• Contribute to the preparation of scientific manuscripts, presentations, and reports.
• Keep up to date with the latest research and developments in the field of real-world data and HTA.

Requirements:

• Bachelor's degree in IT, data science, computer science, statistics, biostatistics, economics or related fields
• Strong analytical skills with a solid foundation in statistical analysis and/or machine learning.
• Proficiency in programming languages such as Python, R, or SQL is essential.
• Familiarity with data management and data cleaning techniques.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Self-motivated with a strong work ethic and attention to details.
• Familiarity with health data and Health Technology Assessment (HTA) is a plus but not required.

This is an excellent opportunity for recent graduates or individuals with a passion for data science and an interest in oncology to gain hands-on experience working with real-world data in a fast-paced and dynamic environment. We are committed to providing a supportive and inclusive workplace that values diversity and fosters professional growth.

If you meet these qualifications and are interested in this exciting opportunity, please send your resume and a cover letter during the application. For further enquiries, please contact Mr Brandon Chong at ephckj@nus.edu.sg.

Recruitment is open immediately and will continue until all positions are filled. Shortlisted candidates will be expected to attend in-person interviews and complete a competency assessment. Please note that only shortlisted candidates will be contacted.

Qualifications

Bachelor's degree in IT, data science, computer science, statistics, biostatistics, economics or related fields