Associate Research Scientist, Life Science and Medicine - The Roux Institute

Northeastern University - Portland, OR

Full-time - Entry Level

Portland, OR

10,001+ employees

Educational Services

About the position

Northeastern University invites applications for an Associate Research Scientist position in the fields of Computational Medicine and Biomedical Data Science, located at Northeastern's Roux Institute, in Portland, Maine. The Roux Institute is designed as an engine of innovation, talent, and economic growth in Portland, the state of Maine, and the region. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high-growth sectors. We seek an Associate Research Scientist with a passion for transforming healthcare through artificial intelligence. If you hold a PhD in Biomedical Engineering, Computational Medicine, Artificial Intelligence, Applied Mathematics, Bioinformatics, or a related discipline, and have a profound expertise in AI/Deep Learning applications within healthcare contexts, we invite you to join our dynamic team. This position will be within the Life Sciences and Medical Research vertical of the Roux Institute and will be jointly supervised by Professor Raimond Winslow, PhD - Director of Life Sciences and Medical Research at The Roux and Professor of Bioengineering, Computer Science, and Clinical and Rehabilitation Sciences at Northeastern University, and Dr. Qingchu Jin, Research Scientist at the Roux Institute. The successful applicant will contribute to research projects underway with multiple clinical investigative teams at the MaineHealth (MH) Maine Medical Center (MMC). MH is a not-for-profit integrated health system consisting of nine local health systems that is the largest provider in Maine. Approximately 22,000 MH employees are committed to providing high value health care to the 1.3M residents in Maine and northern New England. This unique position, developed in partnership between investigators at the Roux Institute and MH, will provide access to diverse and innovative research environments, mentorship and career development opportunities, and state-of-the-art facilities, equipment, and technology at both institutions.

Responsibilities

• Help to develop and validate real-time machine-learning (ML) algorithms to apply to real-time Electronic Health Record (EHR), vital signs, and physiological waveform data to predict the likelihood of postoperative adverse events in patients recovering from heart surgery in the MH-MMC Cardio-Thoracic ICU.
• Help to develop and validate real-time ML algorithms to estimate the real-time deterioration risk of patients.
• Help to advance ML model analysis methods such as uncertainty analysis and dynamic feature selection and apply it them healthcare questions.
• Develop and validate ML algorithms to make early prediction of gestational obesity and diabetes.
• Develop AI models to make early predictions of edema in heart failure patients.
• Develop novel algorithms that harness clinical codes (such as ICD, CPT, and medication codes) to enhance the predictive power of AI models, leading to more accurate and actionable insights in patient care.

Requirements

• A PhD in one of the following areas: Biomedical Engineering, Computational Medicine, Artificial Intelligence, Applied Mathematics, Bioinformatics, or a closely related field.
• Demonstrated experience in deploying both supervised and unsupervised machine learning algorithms to extract meaningful insights from Electronic Health Record (EHR) data and other clinical datasets.
• Proficiency in programming and debugging, with a solid foundation in using these skills for scientific inquiry and innovation.
• A history of excellent scientific writing, with a track record of publishing influential papers in the realm of AI applications for healthcare.
• Exceptional communication skills, with the ability to convey complex concepts to a diverse audience and collaborate effectively within interdisciplinary teams.

Benefits

• Medical insurance
• Vision insurance
• Dental insurance
• Paid time off
• Tuition assistance
• Wellness programs
• Life insurance
• Retirement benefits
• Commuting and transportation assistance