Job Description
Job Description
POSITION: Principal Data Scientist, Biosensing
PURPOSE OF JOB
The Principal Data Scientist will oversee development of novel algorithms and AI/ML methods to bridge
densely collected digital measures from wearable sensor devices to multimodal systems. This role will
focus on creating edge- and cloud-based algorithmic pipelines for biomedical signal processing and
translating research findings into practical, production-ready solutions to empower users of the Vivalink
platform.
Projects will involve establishing methodologies for building and implementing machine learning models
using multi-modal data sets, and extracting the features from raw data that correlate to measures of
interest. In addition to modeling, development will include software tools and scripts at scale to support
data analysis and interpretation.
MAJOR DUTIES AND RESPONSIBILITIES
The principal data scientist will apply biomedical knowledge and data science to develop new
algorithm-based products and features. Responsibilities include:
● Model Development: Design, build, and optimize machine learning models (including supervised,
unsupervised, reinforcement, and deep learning) to extract and apply insights from digital health
data.
● Algorithm Design: Establish methodologies for building and implementing machine learning
models using multi-modal data sets and design novel algorithms or adapt research methods for
practical applications.
● Data & Optimization: Collect, clean, and preprocess large datasets for model training. Extract
features from raw data and debug/optimize models for better accuracy and efficiency using
cloud-based services.
● Production & Engineering: Translate research into production-ready solutions. Design, implement,
review, document, and validate algorithmic component software.
● Infrastructure: Improve infrastructure and tooling, including algorithmic pipelines, test frameworks,
and CI/CD pipelines.
● Collaboration: Collaborate with multidisciplinary teams, including clinical, product, and engineering
stakeholders, to deliver practical, integrated tools.
● Communication: Effectively present and discuss findings with colleagues and communicate
complex technical concepts to diverse audiences.
● Support & Validation: Provide production support, troubleshoot and resolve technical issues, and
drive the release and monitoring of components. Assist in pursuing appropriate regulatory
authorizations or performing clinical validations.
Key Skills
● Engineering skillset including signal processing, with practical experience working with dense time
series data.
● Experience with biomedical algorithms or digital measures (e.g., ECG, Continuous Vitals, EEG,
Actigraphy). Familiarity with wearable and smart sensing technologies.
● Experience applying machine learning methodologies in the digital health, healthtech, or medtech
space.
● Proficiency in Python and experience with modern machine learning frameworks (e.g., TensorFlow,
PyTorch, Scikit-learn).
● Knowledge of data processing tools (e.g., Pandas, NumPy) and experience using statistical
computer languages for data manipulation.
● Understanding of software development best practices, including testing, CI/CD, agile
methodologies, and Git-based workflows.
● Experience with validation methodologies, including the design of experimental studies and
statistical testing. Experience in Class II medical devices or software-as-a-medical-device.
● Strong foundation in statistical analysis.
● Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and knowledge of data
architecture.
● Excellent written and verbal communication skills for cross-functional collaboration.
● Ability to transition projects to product development for commercialization.
EDUCATION/EXPERIENCE REQUIREMENTS
● Education: An advanced degree (Masters or PhD) in a quantitative discipline such as Computer
Science, Data Science, Statistics, Biomedical Informatics, or a related field.
● Experience:
○ 5+ years of relevant industry experience (medtech, healthtech, digital health)
○ 5+ years of experience developing and applying advanced machine learning and AI techniques
to clinical, biomedical, or similarly complex data.
○ 5+ years of experience with Python development.
Company DescriptionVivalink
Campbell, CA
Company
Silicon Valley-based Vivalink (www.vivalnk.com) is an innovative connected healthcare devices company in its growth stage. The company develops wearable telemetry devices with integrated biometric sensors designed to continuously monitor human vitals and other indicators for medical and healthcare applications. These devices together with Vivalink’s related healthcare software products and services are offered to enterprise customers under a platform as a service model. Over 300 leading organizations, in more than 50 countries depend on our wearable human vitalssensors, software and services. With great products, more than 20 patents and brilliant people, what we do matters.
Company Description
Vivalink\r\nCampbell, CA\r\nCompany\r\nSilicon Valley-based Vivalink (www.vivalnk.com) is an innovative connected healthcare devices company in its growth stage. The company develops wearable telemetry devices with integrated biometric sensors designed to continuously monitor human vitals and other indicators for medical and healthcare applications. These devices together with Vivalink’s related healthcare software products and services are offered to enterprise customers under a platform as a service model. Over 300 leading organizations, in more than 50 countries depend on our wearable human vitalssensors, software and services. With great products, more than 20 patents and brilliant people, what we do matters.