Research Associate/Fellow (Biostatistics) - Tenders Global

Research Associate/Fellow (Biostatistics)

National University of Singapore

tendersglobal.net



Job Description

The Department of Family Medicine (DFM) at NUHS was established in 2017 with the aim of supporting the Division of Family Medicine within the Yong Loo Lin School of Medicine of the National University of Singapore. DFM is composed of a multidisciplinary team of clinicians, researcher, medical educators, and administrators. DFM provides an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goals of achieving achieve excellence in Family Medicine education, research and practice.

 

As part of our efforts to significantly increase our research capacity, we are looking to appoint a highly motivated and skilled Research Fellow to lead the biostatistics and data analytic components of our research programmes (Research Associates with outstanding merit will be also considered). The vacancy provides an exciting opportunity to make a significant contribution to our research programmes for improving the lives of people receiving primary care. Our research spans across a wide range of areas relevant chronic diseases, including mental health, cancer care and multimorbidity; healthy longevity; family orientation; and quality of care, including continuity and coordination.

 

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the Dept of Family Medicine. Only shortlisted candidates will be contacted.

Job Requirements

The Research Fellow/Research Associate will have the following duties:

  • Data analysis, reporting and publication of ongoing and new projects using state-of-the-art statistical methods as appropriate to the data and study design; contribution to shaping research questions, study design (including sample size calculation) and development of the appropriate plan of analysis of new projects
  • Contribution to the preparation of research studies, grant proposals, ethics applications, plan and conduct of analysis, manuscripts, and oral presentations in projects led by other team members
  • Contribution to the management of research activities including team coordination, mentoring/training of researchers and clinicians in biostatistics, conducting research workshops and seminars
  • Oversight and coordination of statistical support staff, and potentially of students
  • Up-to-date knowledge of current and emerging trends in medical statistics
  • Membership of the DFM research committee

Qualifications

  • A Master’s or PhD degree in Statistics or a closely related field
  • Experience related to the duties and responsibilities below:
    • State-of-the-art statistical methods and modelling techniques for the examination of research questions across a number of study designs with clinical research data, including clinical records and other routinely collected data.
    • Proficiency in the use of statistical packages (STATA, SAS) and statistical data analysis environments (R, Matlab)
    • Dissemination of research activity through reporting, publication, and communications to conferences, including oral presentations to a wide range of audiences
    • Provision of training and/or mentoring related to biostatistics
    • Excellent organisation, coordination, and problem-solving skills
    • Excellent time management skills and ability to prioritise projects with focus on quality and timely delivery of work
    • Excellent interpersonal and communication skills; team spirit

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Medicine

Employee Referral Eligible: No

Job requisition ID : 17668


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