Medical Statistician (Rehab Med)

The OPTIMA-C (Targeting osteosarcopaenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy aging and high-burden disease cohorts) research programme aims to identify, phenotype and intervene in the at-risk, mildly frail population.

The research programme is a multi-centre and multidisciplinary effort bringing together research talents from Tan Tock Seng Hospital (TTSH) [TTSH Rehabilitation Centre and Centre of Rehabilitation Excellence (CORE); NHG Polyclinics (NHGP) and Institute of Geriatrics and Active Ageing (IGA); and the Departments of Endocrinology and Orthopaedics]; and in close partnerships with sister institutes, Rehabilitation Research Institute of Singapore (RRIS) and Lee Kong Chian (LKC) School of Medicine.

The ultimate objective of the programme is to prevent downstream adverse outcomes of frailty such as falls and functional decline as well as institutionalization, thus reducing healthcare costs in the long-term.

The Opportunity

We are seeking a Medical Statistician.

He/she will spearhead and oversee all aspects of designing and executing data management plans for the research programme.  He/She is resourceful and adept in understanding the needs of the research team as well as work closely with the programme leads. This individual should have good communication skills for extensive interactions with life science/medical researchers /clinicians to understand biological problems and communicate analytical results and have a customer (problem orientated) focused approach to collaboration.

He/She will need to be dynamic, confident and decisive in working towards the completion of the individual projects that make up the research programme.

The role requires the following:

1. Collaborate with multidisciplinary research teams (i.e., researchers, clinicians, and other stakeholders, etc.) in the design and development of databases for clinical research studies/projects and clinical trials, including but not limited to conduct sample size calculation, data cleaning, data coding and statistical analyses to support research protocols and study designs.
2. Perform computational analysis of clinical research data in an ethical and timely manner, interpret the results, and prepare clear and concise analysis reports, tables, and graphs to effectively communicate findings to researchers.

Conduct quality control checks on collected data, identifying, and resolving any data inconsistencies or anomalies

3. Assist in the development of computational methods and systems in support of research activities.
4. Assist and provide input into programme and project level data analysis plan. Participate in the preparation and presentation of data for scientific manuscripts and periodic reports to funding agencies and corporate or finance agencies, or when applicable.
5. Coordinate and communicate with software engineers and bioinformaticians when necessary to address researchers’ requests, project plans, and/or eCRF development activities.
6. Coordinate with IT and implementation team(s) to address clinical application requests and/or changes to clinical database systems.
7. Assist in mentoring staff/students in the field of bioinformatics or related disciplines and help promote a working environment of collegiality and effective teamwork.

Requirements

1. Bachelor’s Degree or PhD/ MSc (Preferable) in Computer Science / Statistics / Information Management/ Science or a related discipline.
2. Proficient in MS office applications (Word, Excel and Access) and database management tools such as REDCap.
3. Applicable knowledge working with other clinical databases including but not limited to Oracle Clinical and SAS.
4. Working knowledge of SQL with a flair for programming and an interest in keeping up with the latest technology.
5. Working knowledge of Good Clinical Practices, Good Manufacturing Practices, clinical research, clinical trial processes and related regulatory requirements and terminology.
6. Working knowledge of clinical database applications such as EDC and Clinical Trial Management System (CTMS) and/or biological data.
7. Good organizational and problem-solving skills.
8. Excellent verbal and written skills to communicate with life science/medical researchers to understand biological problems and communicate analytical results.
9. Customer focused approach to collaboration
10. Ability to translate biological problems to computational problems and code in a programming language to solve these computational problems.
11. Awareness of computational infrastructure and their upkeep.
12. Meticulous, attention to details and have a keen interest in research and biostatistics.
13. Highly capable team player with strong interpersonal skills.
14. Leadership initiative with ability to multi-task, coordinate multiple projects concurrently, and complete assignments within deadline.
15. Willingness to provide training to team/staff in the area of biostatistics or related disciplines