Senior Data Analyst / Data Analyst (DDOIT)

National Cancer Centre Singapore Pte Ltd; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

National Cancer Centre Singapore Pte Ltd seeks a data management professional to support clinical research studies within the Division of Medical Oncology. You will manage data from medical records, build long-term study databases, and ensure data quality for research outputs.

You will perform ETL from enterprise data warehouses, harmonize data from multiple sources, and transform raw data into actionable insights for internal and external stakeholders on a planned basis and request-driven basis.

Qualifications

• Degree in Life Sciences, Health Sciences, Bioinformatics, IT, CS, Data Science or Business Analytics.
• Programming and data science background required; Python and SQL are must-have.
• Knowledge of R, OBIEE, JSON, XML, HTML and data processing adds advantage.

Responsibilities

• Data management of clinical research studies and long-term study databases.
• Perform ETL from enterprise data warehouse.
• Harmonize data from multiple sources and convert to actionable insights.
• Analyze registries/databases to identify patterns for internal/external stakeholders.
• Maintain AI applications across tumor types (information extraction, ML models).
• Schedule server maintenance and run acceptance tests for databases.
• Manage cross-institutional access accounts.

Skills

Python

SQL

R

Tableau

Data wrangling

Data Science

Communication

Education

Bachelor's degree in Life Sciences, Health Sciences, Bioinformatics, Information Technology, Computer Science, Data Science and/or Business Analytics

Tools

OBIEE

JSON

XML

HTML

Job description

You will be actively involved in data management of clinical research studies and long-term study databases for projects within the Division of Medical Oncology (DMO), National Cancer Centre Singapore. To fulfill the objective, you will be required to perform the following tasks:

• Extract data from medical case report, maintain database, and perform data mining from hospital electronic medical record (EMR),
• Perform ETL (Extract, Transform and Load) raw data from enterprise data warehouse
• Harmonize data from multiple sources and transform raw data into analyzable insights,
• Perform analysis of registries and databases to identify and interpret key patterns and to support the communication of these insights to internal and external stakeholders on a planned regular basis and on ad hoc requests.
• Maintain and build AI applications across tumor types, for examples, information extraction, entity recognition and predictive analysis with machine learning models.
• Database environment scheduled server maintenance and acceptance tests
• Cross-institutional access account application and management

Administrative

• Assists the Principal Investigator in submission of accurate and timely closeout documents. Coordinates appropriate and timely payments to participants (if applicable).

HBRA/IRB Compliance

• Adherence to the HBRA/IRB by ensuring site compliance with research protocols by reviewing all regulatory requirements to confirm implementation of appropriate methods, practices, and procedures for all research activities.

Risk Mitigation

• Develop the ability to anticipate and mitigate potential risks or non-compliance. Ensure all near-misses and protocol deviations are reported in a timely manner.

Liaison

• Handle all initial and follow up communications between patients, healthcare professionals, clinical trial industry sponsors and PI/Co-Investigators. Assist in communications with DSRB/IRB staff regarding study-related ethics applications, amendments, and status reports.

Data Collection

• Maintenance of existing database to input or validate prospective and retrospective data.

Requirement:

• Degree in Life Sciences, Health Sciences, Bioinformatics, Information Technology, Computer Science, Data Science and/or Business Analytics
• Have programming and data science background. Data wriggling skills using Python and technical knowledge on SQL are must.
• Skill and knowledge on other tools like R, programming, OBIEE, JSON, XML, HTML, structured and unstructured data processing and Tableau will have added advantage.
• Experience in healthcare data and health data standards is desirable.
• Experience in descriptive and predictive analytics will have added advantage.
• Meticulous, with excellent organizational and time management skills
• Good communication, organizational and interpersonal skills
• Ability to complete tasks independently with minimal supervision.
• Ability to work on multiple projects involving multiple stakeholders concurrently.