Software Developer
2 months ago
Mila, a leading research institute in artificial intelligence, is seeking a highly skilled Software Developer to join our team in advancing AI-Health projects on Rahimi's lab.
This role involves developing and implementing cutting-edge AI solutions and development of innovative software solutions to address complex challenges in healthcare, including solutions targeting chronic disease management, particularly cardiovascular diseases.
The ideal candidate will contribute to a dynamic research environment, supporting the design, development, and deployment of data-driven applications and machine learning models to improve patient outcomes.
Key Responsibilities:- Data Pipeline Development: Develop and optimize data pipelines for the integration, cleaning, and transformation of large-scale, multi-modal healthcare data sets.
- Software Development: Design and implement state-of-the-art software solutions for chronic disease management.
- Machine Learning Model Development: Implement, test, and validate explainable machine learning models, ensuring their reliability and scalability in a clinical setting.
- Data Privacy and Compliance: Work with the team to ensure the highest standards of data privacy and meet regulatory compliance such as HIPAA and GDPR.
- Technical Documentation and Support: Contribute to technical documentation and provide support for end-users.
- Code Reviews and Quality Assurance: Participate in peer code reviews, maintaining high-quality coding standards.
- Staying Up-to-Date with Industry Trends: Stay abreast of the latest technology trends in AI and healthcare to ensure cutting-edge solutions.
- Clinical Expert Collaboration: Collaborate with clinical experts to translate medical requirements into technical specifications.
- Team Collaboration: Collaborate with a multidisciplinary team of scientists, engineers, and healthcare professionals.
- Education: MSc or PhD in Computer Science, Biomedical Engineering, or a related discipline.
- Experience: Minimum of 3 years of experience in data engineering and software development.
- Programming Skills: Proficiency in programming languages such as Python, Java, or C++ and experience with software development best practices.
- Machine Learning Experience: Demonstrable experience with machine learning libraries and model deployment.
- Cloud Services Experience: Experience in working with cloud services and other relevant technologies for software development.
- Algorithm Development and Data Visualization: Strong background in algorithm development, statistical analysis, and data visualization.
- Collaboration and Communication: Excellent collaborative skills to work with an interdisciplinary team of researchers and clinicians, and strong communication skills to effectively present complex technical information to non-technical stakeholders.
- Independence and Teamwork: Ability to work independently and as part of a team.
- Healthcare Data Analysis Experience: Experience in healthcare data analysis and experience in the healthcare technology sector.
- AI Ethics and Responsible AI Practices: Knowledge of AI ethics and responsible AI practices.
- Federated Learning, Differential Privacy, or Synthetic Data Generation: Knowledge of federated learning, differential privacy, or synthetic data generation.
- Comprehensive Group Insurance Program: A comprehensive group insurance program including health, dental, disability, life, travel, and extended benefits.
- Employee and Family Assistance Program: An employee and family assistance program.
- Telemedicine Service: Access to a telemedicine service.
- Vacation Policy: A vacation policy offering a base of 20 days' vacation upon hiring.
- Retirement Savings Plan: A retirement savings plan with a minimum employer contribution of 4%.
- Flexible Working Hours: Flexible working hours, a summer schedule, and the possibility of telecommuting.
- Work Environment: A work environment in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.
- Team Environment: A team of passionate experts in their field, a collaborative and inclusive work environment.
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