You will be actively involved in data management of clinical research studies and long-term study databases. Your responsibilities will include:
1) Extract data from medical case report, maintain database, and perform data mining from hospital Electronic Medical Record (EMR).
2) Perform ETL (Extract, Transform and Load) raw data from enterprise data warehouse.
3) Harmonize data from multiple sources and transform raw data into analyzable insights.
4) 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.
5) Maintain and build AI applications across tumor types, for examples, information extraction, entity recognition and predictive analysis with machine learning models.
6) Database environment scheduled server maintenance and acceptance tests.
7) Cross-institutional access account application and management.
8) Assist the Principal Investigator in submission of accurate and timely closeout documents. Coordinate appropriate and timely payments to participants where applicable.
9) Handle all initial and follow up communications between patients, healthcare professionals, clinical trial industry sponsors and PI/Co-Investigators.
Requirements:
1) Degree or Master in Life Sciences, Bioinformatics, Statistics, Computer Science or Data Science.
2) Have programming and data science background. Data wriggling skills using Python and technical knowledge on SQL are must.
3) Skill and knowledge on other tools like R, programming, OBIEE, JSON, XML, HTML, structured and unstructured data processing and Tableau will have added advantage.
4) Experience in healthcare data and health data standards is desirable.
5) Experience in descriptive and predictive analytics will have added advantage.
6) Meticulous, with excellent organizational and time management skills.
7) Good communication, organizational and interpersonal skills.
8) Ability to complete tasks independently with minimal supervision.
9) Ability to work on multiple projects involving multiple stakeholders concurrently.
