Research Fellow - Research Data Management & Analysis (Re-Advertised)
| Reference Number: AC 148/25 |
Location(s): Hoodless House
|
| Department: Research Operations |
Division/College: College of Medicine, Nursing & Health Sciences |
| Job Openings: 1 |
Closing Date: 19/12/2025 |
Background:
To operate effectively as part of a team
of academic, technical, and administrative colleagues in order to facilitate
learning and the advancement of knowledge through teaching,
research/publication, consultancy and administration, The Research Fellow is
also expected to lead the design, development, and reporting of research
studies for CMNHS. The incumbent is also expected to undertake (primary and
secondary) research and administer research projects, mentor mid-career
researchers. and support research publications.
Scope of Work:
- Provide
advice to students and staff choice of statistical analysis strategies,
reliability of measurements and interpretation and presentation of
statistical results.
- Support
students and staff on using a variety of advanced statistical software,
methods, and techniques to gather, analyze, and interpret research data to
derive useful information for research data.
- Provide
training on statistical software, as appropriate; maintains knowledge of
current and emerging trends in statistical analysis methodology
- Mentor
staff with statistical support.
- Provide
technical support and guidance on data management principles and
regulatory requirements for clinical trials and medical research.
- Performs
any other work as assigned.
Person Specification:
Essential:
- A
Master of Applied Epidemiology (MAE), Statistics, Biostatistics,
Mathematics, Health Research or relevant studies.
- Demonstration
of work towards data analysis and interpretation.
- Should
demonstrate working towards a PhD qualification.
- At
least 3 years of relevant work experience in Data Management.
- Must
have excellent analytical skills.
- Must
be proficient in working with various data softwares, for research
programs (EndNote, SPSS, Stata etc).
- Knowledge
of conducting literature review.
- Ability
to provide support for the development of appropriate proposals for
project bidding.
Salary: FJD49,174.00 gross per annum plus 10% superannuation
To explore the post further or for any queries you may contact:
|
Name: Mr. Lawrence Kumar |
Email: lawrence.kumar@fnu.ac.fj |
Application Details
All applications are to include:
• A letter
of application addressing each of the criterion listed under the Person
Specification more specifically the Essential and
Desirable criteria. This application letter will form
the main basis for shortlisting. Failure to provide
the application letter will result in
your application not being considered.
• A detailed CV with three referees full
contact details (telephone numbers and email addresses).
Candidate should state their relationship with each referee (e.g. line
manager, former postgraduate supervisor).
• Copies of academic transcripts
and certificates that are of relevance to the qualification requirements
of the advertised position.
All applications must be submitted online using the University’s online
job applications system which can be accessed at this address:
https://careers.fnu.ac.fj .
Applications sent via email or manually for all positions will not be
accepted.
Should
you have any queries on the advertised opportunity or face difficulty in
submitting the application online, please email the following:
1. HR Partner (email ID stated in the advertisement): For any queries regarding the advertised position.
2. hrat@fnu.ac.fj : For any assistance with the online application or technical issues.
3. vacancy2@fnu.ac.fj : For other queries
regarding the advertised position, expression of interest or FNU careers.
Please note that only shortlisted candidates will be contacted. If you
have not been contacted by Fiji National University, then your application has
not been successful.
FNU is an equal opportunity employer. Preference is given to applicants holding Fiji citizenship. International applicants may be considered.