job description
Are you passionate about leveraging data to transform mental healthcare? The Institute of Mental Health invites aspiring data scientists to join our innovative team as a Data Science Intern in a remote capacity from Bali, Indonesia. This is a unique opportunity to kickstart your career in data science while making a tangible impact on mental health research and patient care.
In this role, you'll collaborate with a multidisciplinary team of researchers, clinicians, and data engineers to analyze complex datasets, develop predictive models, and derive actionable insights that enhance mental health services. You'll work on cutting-edge projects that bridge the gap between data science and mental healthcare, gaining hands-on experience with real-world data while contributing to meaningful outcomes.
Bali's vibrant tech community and serene environment provide the perfect backdrop for creativity and productivity. Whether you're based in Canggu, Ubud, Denpasar, or Kuta, you'll enjoy the flexibility of remote work while being part of a globally recognized institution. This internship is ideal for students or recent graduates eager to apply their technical skills in a dynamic, mission-driven environment.
Join us and be at the forefront of data-driven mental healthcare innovation. Apply today and take the first step toward a rewarding career in data science!
Responsibility
- Assist in collecting, cleaning, and preprocessing large datasets from mental health research studies and clinical records.
- Develop and implement machine learning models to predict mental health trends, patient outcomes, and treatment efficacy.
- Collaborate with cross-functional teams to design and execute data analysis projects that support evidence-based decision-making.
- Create visualizations and reports to communicate insights to non-technical stakeholders, including clinicians and policymakers.
- Participate in the development of data pipelines and workflows to streamline data processing and analysis.
- Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and opportunities for improving mental health services.
- Stay updated with the latest advancements in data science, machine learning, and mental health research to propose innovative solutions.
- Contribute to the documentation of methodologies, findings, and best practices for future reference.
Qualifications
- Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Basic knowledge of Python, R, or SQL for data analysis and machine learning.
- Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn.
- Understanding of machine learning algorithms and frameworks like scikit-learn, TensorFlow, or PyTorch.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills to present complex data insights in a clear and concise manner.
- Ability to work independently and collaboratively in a remote team environment.
- Passion for mental health and a desire to apply data science for social good.