Reporting to the Research Fellow in charge of this project, You will be to assist in literature review, IRB submission, coordinate recruitment, data collection in quantitative and qualitative studies, data entry and analysis. You will liaise with the relevant personnel in hospital / Polyclinics to ensure smooth running of recruitment and data collection, under the supervision of Research Fellow and Principal Investigator (PI).
Job Responsibilities*
You will be responsible for the following:
1) Subject Recruitment and follow up
- 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.
2) Data collection, analysis and manuscript writing
- Conduct qualitative interviews and data analysis.
- Perform data cleaning and quantitative data analysis.
- Responsible for maintaining strict adherence to research protocols i.e., HBRA.
- 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.
- Independent and mature. 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)
Requirements*
Hold a Master’s or Bachelor’s degree in Science/ Public Health/ Social Science; 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.
- Independent and mature. 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.
- Ability to communicate with Mandarin-speaking/Malay-speaking/Tamil-speaking patients
- 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)
- Proficiency in Python
- Experience with Python libraries (Pandas, NumPy, SciPy, Matplotlib, Seaborn and so on).
- Experience with Natural Language Processing (NLP) Libraries ()
- Expertise in 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.
Candidates can demonstrate their expertise through various means such as certifications, past projects, Kaggle competitions, technical blogs, open-source contributions, GitHub repositories, relevant work experience, academic publications, hackathons, and participation in coding communities or forums.
Wong Yen Yong Christine
EA Registration No: R1101725
License No: 04C5357
