Department: Healthcare Redesign
Contractual Period: 1 year (Subjected to extension)
Job Responsibilities
- Reporting to the Research Fellow in charge, under the supervision of Research Fellow and Principal Investigator (PI)
- Assist in literature review, IRB submission, coordinate recruitment, data collection in quantitative and qualitative studies, data entry and analysis.
- Liaise with the relevant personnel in hospital / Polyclinics to ensure smooth running of recruitment and data collection
- Be involved in subject recruitment, scheduling and data entry. Screen patients based on study eligibility, and communicate the study aims to potential subjects in layman terms.
- Obtain consent taking, administer study questionnaires and follow-up on study participants.
- Work closely with research team, clinicians, clinic staff and other relevant internal departments to ensure research study needs are met.
- Able to work on tight timelines, set sensible targets and achieve research deliverables.
- Conduct qualitative interviews and data analysis.
- Perform data cleaning and quantitative data analysis.
- Responsible for maintaining strict adherence to research protocols i.e., HBRA.
Requirements
- Master’s / Bachelor’s degree in Science/ Public Health/ Social Scienc
- Preferably with some experience in research
- Able to adapt in a fast-paced environment, with a strong focus to meet research deliverables and targets.
- Strong interpersonal and communication skills. Leadership and accountability to tasks is very desirable.
- Able to work independently, as well as in a team.
- Meticulous, well-organized and able to multi-task
- Ability to work in an interdisciplinary environment with different groups of stakeholders.
- Bilingual preferred (fluent in Mandarin/Malay/Tamil).
- Willing to travel between the Hospitals and external study sites as part of his / her work.
- Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA)
Software Proficiency (Either or all)
- Experience with Python libraries (Pandas, NumPy, SciPy, Matplotlib, Seaborn)
- Experience with Natural Language Processing (NLP) Libraries (NLTK, spaCy, Gensim, TextBlob, VADER, Stanford NLP, Flair, Hugging Face Transformers)
- Knowledge of Machine Learning Algorithms (Understanding of supervised/unsupervised algorithms, experience with Scikit-learn, TensorFlow, PyTorch)
- Understanding of Sentiment Analysis Techniques and Text Preprocessing
- Knowledge of lexicon-based and machine learning-based sentiment analysis approaches.
- Experience with other relevant Python libraries for sentiment analysis, such as Keras, XGBoost, and LightGBM.
- Familiarity with Text Mining Tools - Experience with text mining techniques and tools (RapidMiner, KNIME).
- Familiarity with Cloud Computing Platforms - Experience with AWS, Google Cloud, or Azure; containerization with Docker.
Interested applicants, please feel free to reach out to us at my email address [email protected]
EA Reg No.: R1436439 | EA Licence: 17C8713
**We regret to inform only shortlisted candidates will be notified
