Dynocardia is a company based in Newton and Cambridge, Massachusetts. It
was founded by a team of engineers and physicians from MIT and Tufts
Medical School. The company\'s primary focus is to develop a solution to
a 100-year-old challenge: an accurate and continuous, non-invasive blood
pressure monitor. To achieve this goal, Dynocardia has created a wrist
wearable device called ViTrack?, which utilizes computer vision and
artificial intelligence to measure continuous blood pressure and other
vital parameters. This device is helpful in remote patient monitoring,
which is critical for hospital patient care. It also aids in the correct
diagnosis and management of hypertension and other chronic diseases
through telehealth. Dynocardia has partnered with prestigious hospitals
and is conducting clinical studies at the Massachusetts General
Hospital, Cleveland Clinic, and the Mayo Clinic. Besides private
funding, the company has received multiple federal grants from the
National Institutes of Health and the National Science Foundation and
awards from physician organizations such as the American College of
Cardiology and the Heart Rhythm Society. Job Description We seek
individuals interested in digital health and medical technology who are
dynamic and eager to learn and apply new skills. Seniority Level Entry
level Employment Type Full time Education Required BS or MS in at least
one of the following fields Mechanical Engineering, Electrical
Engineering, Biomedical Engineering, Computer Science, Statistics,
Biostatistics, Computational Mathematics, or another related field Years
of Experience 0+ years of experience with a Bachelor\'s degree 0+ years
of experience with a Master\'s degree or higher Required qualifications
Strong knowledge and experience with at least one of the following
tools/languages SAS, R, and Python. Hands-on in one of the Analytical
techniques - Descriptive/Predictive/Prescriptive. Good understanding of
one or more of the following subject areas: Algorithms and Data
Structures, Computer Architecture, System Architecture, Microprocessors,
Object Oriented Programming, Statistics, Signals and Systems. A drive to
learn and master new technologies and techniques. Ability to work in a
fast-paced, collaborative team environment. Experience with Agile and
iterative development practices is preferred. Self-motivated with strong
problem-solving skills and the ability to work independently. Additional
beneficial attributes Experience visualizing and presenting data to
stakeholders. Experience with object-oriented programming languages such
as C++ and Java. Experience creating and using data mining, machine
learning algorithms, and statistics such as random forest, regression,
simulation, modeling, clustering, decision trees, etc. Clinical or
medical background is highly preferred. Experience creating and managing
large datasets in a structured database like SQL, MongoDB, etc.
Experience implementing and managing solutions on the cloud. AWS
experience is a bonus. Good written and verbal communication skills.
Ability to handle multiple tasks/projects and manage priorities.
Potential for On the Job Training -