Assoc Data Science Analyst

Position Overview

We are seeking an experienced and skilled Data Science Analyst to join our dynamic team. You will play a crucial role in analysing and interpreting health data, providing actionable insights to support health policy planning.

Role & Responsibilities

• Utilise statistical methods and analytics tools to analyse datasets related to public health, including health surveys, healthcare utilisation data, and epidemiological studies.
• Interpret and communicate findings to stakeholders, translating complex data into actionable data-driven insights for program and health policy planning, and public health interventions.
• Monitor databases to ensure the timeliness and accuracy of data.
• Work closely with cross-functional teams to foster creative problem-solving and address complex data analytics issues.
• Collaborate with interdisciplinary teams from both local and global health organisations and research institutions to conduct research studies.
  
  
  

Requirements

• Possess extensive knowledge and experience in Statistics, Data Analytics, Data Science, Health Economics or disciplines with substantial quantitative content (e.g. regression, analytics, modelling).
• Work experience in public health, health statistics or epidemiology research environment is preferred.
• Proficient in statistical software (e.g., R, Python, SQL, SAS, Stata). Experience with data visualisation tools (e.g., Tableau) will be an added advantage.
• Experience in publishing relevant publications in peer-reviewed journals will be advantageous.
• Possess strong analytical and problem-solving skills. Highly driven with the ability to work in a fast-paced environment, managing multiple priorities and stakeholders simultaneously.
• Self-motivated and resourceful, takes initiative in one’s work.
• Effective communication skills, and good interpersonal skills with the ability to work cross functionally.
  
  
  

Apply Now

NOTE: It only takes a few minutes to apply for a meaningful career in HealthTech - GO FOR IT!!

Position Overview

We are seeking an experienced and skilled Data Science Analyst to join our dynamic team. You will play a crucial role in analysing and interpreting health data, providing actionable insights to support health policy planning.

Role & Responsibilities

• Utilise statistical methods and analytics tools to analyse datasets related to public health, including health surveys, healthcare utilisation data, and epidemiological studies.
• Interpret and communicate findings to stakeholders, translating complex data into actionable data-driven insights for program and health policy planning, and public health interventions.
• Monitor databases to ensure the timeliness and accuracy of data.
• Work closely with cross-functional teams to foster creative problem-solving and address complex data analytics issues.
• Collaborate with interdisciplinary teams from both local and global health organisations and research institutions to conduct research studies.
  
  
  

Requirements

• Possess extensive knowledge and experience in Statistics, Data Analytics, Data Science, Health Economics or disciplines with substantial quantitative content (e.g. regression, analytics, modelling).
• Work experience in public health, health statistics or epidemiology research environment is preferred.
• Proficient in statistical software (e.g., R, Python, SQL, SAS, Stata). Experience with data visualisation tools (e.g., Tableau) will be an added advantage.
• Experience in publishing relevant publications in peer-reviewed journals will be advantageous.
• Possess strong analytical and problem-solving skills. Highly driven with the ability to work in a fast-paced environment, managing multiple priorities and stakeholders simultaneously.
• Self-motivated and resourceful, takes initiative in one’s work.
• Effective communication skills, and good interpersonal skills with the ability to work cross functionally.
  
  
  

Apply Now

NOTE: It only takes a few minutes to apply for a meaningful career in HealthTech - GO FOR IT!!