Research Associate Intern Neurobit Health is seeking a highly motivated and dedicated Research Associate Intern to join our team and contribute to our mission. In this role, the selected candidate will have the opportunity to work on groundbreaking projects aimed at identifying and validating novel sleep biomarkers for the personalized treatment of sleep disordered breathing (SDB).As a Research Associate Intern, the candidate will be part of a dynamic team of professionals who are passionate about making a difference in the lives of patients with sleep disorders. They will work closely with clinical experts and use cutting-edge technology to conduct comprehensive literature reviews, analyze retrospective sleep data, and develop and validate machine learning models. Through this project, the intern will have the opportunity to gain valuable research experience and contribute to the advancement of personalized healthcare in sleep medicine. The selected candidate will be part of a collaborative and supportive work environment where they can learn from experienced professionals in the field of digital health. They will be encouraged to present their research findings at conferences, workshops, and other relevant academic events, as well as contribute to the preparation and submission of manuscripts for publication in peer-reviewed journals. We're currently looking for someone to work as an intern with the potential of becoming a full-time role if we feel it meets expectations and works well for everybody; both you and us.
Position Duties:
Conduct literature reviews and data analysis related to the identification and validation of sleep biomarkers.
Develop, implement, and refine machine learning models to predict patient outcomes and personalize treatment plans.
Collaborate with the project team, including clinical experts, to assess the clinical utility of the identified biomarkers and refine the models as needed.
Present research findings at conferences, workshops, and other relevant academic events.
Contribute to the preparation and submission of manuscripts for publication in peer-reviewed journals.
Qualifications:
Background in biomedical engineering, computer science, data science, or a related field.
Experience with machine learning techniques and algorithms, particularly those used for feature extraction, classification, and prediction.
Proficiency in programming languages such as Python.
Familiarity with sleep medicine and sleep disordered breathing is a plus, but not required.
Highly motivated and dedicated to the advancement of personalized healthcare in sleep medicine.
Resourceful team player and ability to work independently.
Excellent oral and written communication skills.
Recommended reading:
Azarbarzin, Ali, et al. "The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health Study." European heart journal 40.14 (2019): 1149-1157.Butler, Matthew P., et al. "Apnea–hypopnea event duration predicts mortality in men and women in the sleep heart health study." American journal of respiratory and critical care medicine 199.7 (2019): 903-912.Shahrbabaki, Sobhan Salari, et al. "Sleep arousal burden is associated with long-term all-cause and cardiovascular mortality in 8001 community-dwelling older men and women." European heart journal 42.21 (2021): 2088-2099.
Start Date: As soon as possible
About The Company:
Neurobit Health is a digital health company developing technologies to predict and plan for adverse health outcomes well before they happen. We are building a Universal health analytics platform with our state-of-the-art AI models, trained on over a trillion data points of multi-channel physiological data to operate across devices, signals and disease conditions. Over 120 universities, hospitals and R&D centers from around the world trust us with their technology needs. At Neurobit, we believe in an environment in which teammates have the freedom to develop their own strengths, and are encouraged to challenge the status quo. We give our teammates the chance to take on micro-projects, which helps them develop their project management and team-working skills while making a positive difference. We want our teammates to feel more engaged and fulfilled, and we hope to cultivate a place where different perspectives are encouraged and creativity flourishes. We believe that the most incredible skill that a company can develop is its employees' ability to grow and improve themselves. We understand that sometimes this takes more time, energy, and resources than we would like, which is why we allow our teammates to take courses of ANY sort while reimbursing them for all or part of the cost. We're a close-knit team, and we like to show appreciation for each other. We do this in different ways - we have bi-weekly 'powernap' sessions, where the whole team, from different parts of the world catches up on the daily lives of one another. If you're looking for a supportive and progressive environment that fosters success and provides opportunities for advancement, we would love to hear from you! Neurobit Health is an Equal Opportunity Employer Neurobit Health is committed to a diverse and inclusive workplace. We are an affirmative action-equal opportunity employer. Neurobit Health complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws.
Compliance Responsibilities:
Security, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at Neurobit Health require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within Neurobit Health. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities.
