Senior/Biostatistician (Data Science Unit)

About SERI

SERI, the research arm of SNEC, was established in 1997 with the mission to conduct high-impact eye research that prevents blindness, low vision and major eye diseases in Singapore. Till date, SERI has conducted landmark research projects that have led to tangible outcomes, patient benefits and success stories. It has been paving the way for significant improvements in how eye diseases are treated and prevented, not just within Singapore but on a global scale.

By joining SERI, you can:

• Work with a Purpose: Meaningful impact towards improving patients’ live through research
• Maximise your Potential: Opportunity to work with global and top researchers at one of Singapore’s largest research institutes and be engaged in continuous learning and development opportunities
• Be Connected and Cared for: People-centric environment that supports your personal well-being guided by our core values of Compassion, Integrity, Collaboration

Do you have the passion or curiosity to explore the research sector? Are you interested to contribute your skills and expertise in translating research into tangible outcomes and improving patient benefits? Join us!

What you’ll do:

You will be required to perform data analysis for longitudinal epidemiological or clinical research and aid researchers in grant applications and manuscript submissions. This would include,

• Performing data analyses including (but not limited to) data harmonization, data visualization, regression, and predictive modelling (traditional as well as machine learning models).
• Providing inputs to the methodological sections of funding applications, research protocols, statistical reports, and scientific manuscripts
• Regularly performing rigorous quality checks to ensure the integrity, accuracy and completeness of data within various databases
• Creating publication-standard tables, listings and figures for study reports
• Working closely with research coordinators and data managers to align data collection procedures and protocols with analytical plans
• Keeping abreast of and advise on the latest statistical techniques and tools

What you will need to have:

• A Master’s degree in Biostatistics, or Medical Statistics.
• Experience managing and analysing longitudinal clinical, health, or epidemiological research data
• A thorough understanding of the statistical aspects and design considerations of randomized controlled trials and observational studies
• Good knowledge of statistical methods, causal inference, and predictive modelling including machine learning techniques
• Good written and verbal communication skills
• Ability to work independently with minimal supervision

Please note that eventual package offered will commensurate with qualifications and experience.