Anumana is an AI-driven health technology company from nference that builds and commercializes AI solutions to improve patient care across the cardiac care continuum. The company leverages the largest combined dataset of electrophysiological data, longitudinal patient history, and outcomes, developed through exclusive partnerships with leading academic medical centers. Anumana transforms research-grade algorithms into FDA-cleared medical devices, including ECG-AI algorithms for early disease detection and EGM-AI algorithms to enhance electrophysiology procedures. Their robust pipeline includes over 100 peer-reviewed publications supporting early cardiovascular disease detection and prognosis improvement. Anumana is expanding its platform from diagnostic solutions to perioperative and acute cardiac care with real-time imaging and predictive AI technologies, supported by investments from Boston Scientific and others, positioning it as a leader in AI-powered cardiac care innovation.
Anumana is an AI-driven health technology company from nference that builds and commercializes AI solutions to improve patient care across the cardiac care continuum. The company leverages the largest combined dataset of electrophysiological data, longitudinal patient history, and outcomes, developed through exclusive partnerships with leading academic medical centers. Anumana transforms research-grade algorithms into FDA-cleared medical devices, including ECG-AI algorithms for early disease detection and EGM-AI algorithms to enhance electrophysiology procedures. Their robust pipeline includes over 100 peer-reviewed publications supporting early cardiovascular disease detection and prognosis improvement. Anumana is expanding its platform from diagnostic solutions to perioperative and acute cardiac care with real-time imaging and predictive AI technologies, supported by investments from Boston Scientific and others, positioning it as a leader in AI-powered cardiac care innovation.
Work Mode: Hybrid (3 days in the office, 2 days remote)
Required experience and skills:
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Minimum of 5+ years of experience in the IT industry.
At least 2 years of experience in project management, with the ownership of end-to-end delivery of the projects.
At least 1 year of experience in managing multiple projects simultaneously.
Customer-facing experience with good communication.
Experience coordinating with the clients, gather requirements, being SPOC for all the projects under the program.
Experience managing documentation for projects in a regulated industry following GDP.
Experience using project management methodologies (such as Agile) and tools (such as JIRA, Confluence).
Experience preparing status reports and decks for the leadership and client presentations.
Experience in people management and performance reviews of the team.
Ability to keep the team motivated and create an amicable environment to nurture innovation using latest technologies to achieve the project/product milestones.
Ability to handle ad-hoc tasks/requests and juggle between priorities for the projects.
Ability to understand high-level product architecture, experience working closely with technical teams.
Desired experience and skills:
Experience in managing the data engineering / analytics / machine learning projects or products
Technical experience of using Python / R language with NoSQL DB for data engineering/analytics-related projects is good to have.
PMP certification / experience with PM processes per PMBOK
Experience with medical device development, related quality management processes,
Design History File (DHF) and preparing for external quality audits
