Healthcare Assistant Manager, Full Stack Engineer (2-Year Contract)

JOBSTUDIO PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A healthcare analytics firm in Singapore is seeking a Data Analytics Lead to develop and implement strategies for healthcare initiatives. The role involves building automated data pipelines, applying machine learning techniques, and collaborating with clinical teams. The ideal candidate should have a Bachelor’s degree in a relevant field, 2-4 years of experience in healthcare analytics, and strong programming skills in Python, R, and SQL. The firm offers a dynamic work environment focused on innovation and quality improvement.

Qualifications

• 2 - 4 years of experience in healthcare analytics or related roles.
• Experience building and deploying LLM/AI solutions.
• Strong analytical and problem-solving skills.

Responsibilities

• Lead the development and implementation of data analytics strategies.
• Design, build, and maintain automated data pipelines.
• Create interactive dashboards for non-technical audiences.

Skills

Python

R

SQL

Cloud computing (AWS preferred)

Data visualization (Tableau, Power BI, TIBCO Spotfire)

Predictive modelling

Statistical analysis

Docker

Kubernetes

Git

Education

Bachelor Degree in Computer Science/Data Science/Mathematics/Statistics

Tools

AWS

Databricks

Streamlit

NextJS

FastAPI

Job description

What you’ll be doing

• Lead the development and implementation of data analytics strategies for healthcare initiatives

• Design, build, and maintain automated data pipelines and ETL processes

• Clean, preprocess, and validate large healthcare datasets to ensure accuracy and consistency

• Apply statistical analysis, predictive modelling, and machine learning techniques, including LLMs, to generate insights and optimise care pathways

• Create interactive dashboards and analytical tools with intuitive visualisations for non-technical audiences

• Support clinical research and quality improvement initiatives, including outcomes tracking for chronic conditions

• Partner with clinical teams to integrate patient-reported outcome measures (PROMs) into care workflows

• Collaborate with internal teams to enhance data accessibility, visibility, and usability

• Implement and monitor data governance, quality, privacy, and security standards (PDPA, HBRA compliance)

• Develop protocols for responsible AI implementation and LLM usage

• Monitor data integrity, perform validation checks, and prepare concise reports and presentations for stakeholders

• Perform other duties as assigned by the Reporting Officer

What we’re looking for

• Bachelor Degree level in Computer Science/ Data Science/ Mathematics/ Statistics or related studies

• 2 - 4 years of working experience in healthcare analytics, data engineering, or related roles

• Strong software engineering skills, including Python, R, SQL, and cloud computing (AWS preferred)

• Experience building and deploying LLM/AI solutions with evidence of real-world implementation (GitHub portfolio, public repositories, or deployed applications)

• Proficiency with data visualisation tools such as Tableau, Power BI, or TIBCO Spotfire

• Experience with cloud-based analytics platforms (Databricks preferred)

• Hands‑on experience with containerisation (Docker, Kubernetes) and web frameworks (Streamlit, NextJS, FastAPI)

• Knowledge of database concepts and tools (SQLAlchemy or equivalent) and handling large datasets

• Familiarity with CI/CD, DevSecOps, and version control (Git)

• Strong analytical, problem‑solving, and statistical skills (predictive modelling, time series, correlation analysis)

• Excellent communication, stakeholder management, and presentation skills

• Ability to work independently and collaboratively in a fast‑paced, multidisciplinary team

• Positive, proactive attitude with strong attention to detail and project delivery capability