job description
Join Arcanys as an Applied ML Scientist specializing in Clinical Risk Modelling and contribute to groundbreaking healthcare solutions. In this role, you will develop advanced statistical and machine learning models using de-identified electronic health data to enhance clinical decision-making and patient outcomes. Based in the vibrant tech hub of Canggu, Bali, you'll collaborate with a global team of experts to innovate in the field of healthcare analytics.
This is a unique opportunity to apply your expertise in machine learning to real-world healthcare challenges, working on projects that have a tangible impact on patient care. If you are passionate about leveraging data science to improve healthcare, we invite you to apply and be part of our mission-driven team.
Responsibility
- Develop and validate statistical and machine learning models for clinical risk assessment.
- Analyze de-identified electronic health records to derive actionable insights.
- Collaborate with cross-functional teams to integrate models into clinical workflows.
- Ensure compliance with healthcare data privacy and regulatory standards.
- Optimize models for scalability and real-time performance.
- Conduct exploratory data analysis to identify trends and patterns.
- Document methodologies and findings for peer review and publication.
- Stay updated with advancements in healthcare analytics and machine learning.
Qualifications
- Master's or PhD in Computer Science, Statistics, or a related field.
- Proven experience in developing machine learning models for healthcare applications.
- Proficiency in Python, R, or similar programming languages.
- Strong understanding of statistical methods and data analysis techniques.
- Experience with healthcare data standards (e.g., HL7, FHIR).
- Familiarity with cloud platforms (AWS, GCP) and big data tools.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced, innovative environment.