Research Fellow in Computational Medicine - Remote

Overview

The Research Fellow in Computational Medicine will lead projects in cardiovascular medicine, utilizing advanced computational techniques to improve clinical care and patient outcomes.

In Short

• Post-doctoral position focused on computational projects in cardiovascular medicine.
• Utilize state-of-the-art machine learning tools and techniques.
• Work with a vast dataset of patient signals and electronic medical records.
• Collaborate with a team of professionals in a supportive environment.
• Mentorship opportunities for career development in various fields.
• Located at the Corrigan Minehan Heart Center of MGH.
• Hybrid work model with a commitment to work-life balance.
• Open to candidates with diverse backgrounds and experiences.
• Emphasis on independent and collaborative work.
• Encouragement for applications from protected veterans and individuals with disabilities.

Requirements

• PhD in Computer Science, Physics, Math, Engineering, or related field.
• Strong coding skills in Python or Julia.
• Proficiency in Machine Learning and/or System Modeling.
• Knowledge of cardiovascular medicine is a plus.
• Ability to work independently and collaboratively.
• Growth mindset and willingness to learn.
• Strong analytical and problem-solving skills.
• Interest in critical care medicine.
• Experience in data analysis and modeling techniques.
• Commitment to mentorship and career development.

Benefits

• Opportunity to work with a nationally recognized institution.
• Access to a rich dataset for impactful research.
• Supportive and collaborative work environment.
• Mentorship in career development across various paths.
• Focus on work-life balance.
• Inclusive workplace with a commitment to diversity.
• Engagement with the greater Boston science community.
• Potential for transformative impact on patient care.
• Regular work hours with a structured schedule.
• Equal opportunity employer committed to diversity.