ThaiNGO

Reports to: Statistics and Data Management Manager

Role Overview

The Biostatistician is responsible for the design, analysis and reporting of medical research projects conducted by PREVENTION, the Thai Red Cross AIDS Research Centre (TRCARC).

Key Accountability/Responsibility

1. Protocol development

- Assisting in the design of the study

- Performing appropriate sample size calculations

- Writing statistical analysis methods for the protocol

2. Creating Statistical Analysis Plan (SAP)

- Author Statistical Analysis Plan

3. Creating randomization list

- Creates randomization list

4. Review of Case Report Forms (CRFs) and/or questionnaires

- Reviews content of the draft CRF and/or questionnaires against the protocol requirements and provide comments to ensure that data capture in those documents is relevant to all study endpoint and analyses

5. Review of datasets

- Reviews the data tables received from data management team, checking that data is captured appropriately for any analyses

6. Statistical analysis        

- Program and validates statistical analyses

- Perform statistical analyses

7. Report and/or manuscript writing

- Prepare and deliver reports for the analyses

- Prepare statistical methods sections for incorporation in abstracts, manuscripts

8. Performs other assignments of supervisor

Qualifications Specific

1. Bachelor’s degree or Master degree in Biostatistics, Applied Statistics, or other related

2. Minimum 3 year experience as a statistician in clinical trial or medical research

3. Experience in team coordination

4. Good writing and speaking in English language.

5. Excellent conduct STATA software (others statistical software such as SAS, SPSS will be advantage)

6. Regulatory requirements for clinical trials and medical research

7. Ability to see the big picture, whilst still maintaining a focus on detail and implementation

Functional Competency

1. Applied knowledge of advanced statistical models, such as generalized linear models, survival analyses and mixed models

2. Data management skills for clinical trial and medical research

3. Strong focus on quality and timely delivery of work

4. Ability to work well and flexibly i.e. autonomously, in small teams and with a wide range of varying stakeholders

5. Strong leadership and mentoring skills

6. Excellent conduct STATA software (others statistical software such as SAS, SPSS will be advantage)