Research Fellow [LKCMedicine] Full-time

Research Fellow (Statistician / Biostatistician)

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School's primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

ADVANCE-ID is an international, non-profit, academic-led clinical trial network focused on infectious diseases. The Network is jointly funded by the Wellcome Trust and leading Singapore institutions, including the Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University (NTU), and the National University of Singapore (NUS).

The key objective is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

We are looking for a highly motivated and methodologically rigorous Research Fellow (Statistician / Biostatistician) to join our dynamic and expanding clinical research network. This individual will play a pivotal role in the design, conduct, analysis, and dissemination of multi-country, multi-site clinical trials and observational studies focused on infectious diseases and antimicrobial resistance.

The successful candidate will play a critical role in the design, implementation, analysis, and reporting of multi-country, multi-site clinical trials and observational studies. This is a strategic position that contributes directly to the scientific quality, credibility, and impact of the network's research outputs.

Key Responsibilities:

1. Study Design & Protocol Development
• Provide statistical expertise during study concept and protocol development
• Calculate sample sizes, define endpoints, and advise on appropriate trial designs (e.g., adaptive, pragmatic, platform trials)
2. Randomisation & Blinding
• Develop randomisation schemes and blinding plans
• Collaborate with data management and trial operations to ensure integrity of implementation
3. Interim Monitoring & Adaptive Design Oversight
• Support Data Monitoring Committees with interim analyses
• Advise on adaptive trial methods while ensuring statistical validity and regulatory compliance
4. Data Analysis & Interpretation
• Develop and execute Statistical Analysis Plans (SAPs)
• Perform and/or oversee primary and secondary statistical analyses
• Contribute to clinical study reports, publications, and presentations
5. Data Quality & Oversight
• Define statistical data quality checks and perform central statistical monitoring
• Identify trends, anomalies, or protocol deviations through data analytics
6. Reporting & Dissemination
• Ensure clear, transparent, and accurate presentation of results following international guidelines (e.g., CONSORT, STROBE)
• Co-author manuscripts and regulatory submissions
7. Network-wide Statistical Governance
• Provide statistical harmonisation across multiple studies and sites
• Participate protocol review board and capacity building activities

Required Educational Qualification, Experience, Skills and Competencies:

• PhD in Statistics, Biostatistics, or a related quantitative discipline

• Minimum of 2 years' experience in clinical trials or applied epidemiological research

• Strong statistical programming skills (e.g., R, Stata)

• Proven experience in developing Statistical Analysis Plans (SAPs), performing sample size calculations, and conducting advanced statistical analyses

• Excellent communication skills, with the ability to collaborate effectively across cross-functional and multicultural teams

• Experience with adaptive or pragmatic clinical trial designs

• Prior involvement in global health or infectious disease research

• Experience supporting Data and Safety Monitoring Boards (DSMBs) or Trial Steering Committees