Position Title: AI Research InternDepartment: AIWork Location: SunnyvaleAnnual Pay Range: $30- $35 an hourOur Company:Founded in 2010, iHealth Labs is dedicated to empowering people to live healthier lives. The company is a leading provider of cloud-connected medical devices, personal health care devices, and home-based tests and is at the forefront of the digital health revolution.In November 2021, iHealth's COVID-19 Antigen Rapid Test received Emergency Use Authorization from the U.S. Food and Drug Administration for over-the-counter sales. Since then, iHealth has become a key supplier of at-home COVID tests to the federal government, state governments, nonprofits, and individual consumers. iHealth Labs is a leader in digital health solutions, with a mission to revolutionize the healthcare industry by making quality health management accessible and affordable for all.About the RoleThe AI & Research team at iHealth Labs Inc. is seeking a highly motivated AI Research Intern (Engineering) to support research and development initiatives for iHealth Unified Care, our digital health platform for chronic disease management. This role is ideal for candidates with a strong technical background and hands-on experience in building or researching AI applications, particularly in applied machine learning, healthcare analytics, or natural language processing.You will work alongside a collaborative team of researchers and engineers focused on advancing AI innovation to enhance patient care. The internship provides an opportunity to engage in cutting-edge work using real-world healthcare data and contribute to research with direct clinical and operational impact.Key ResponsibilitiesContribute to the design, development, and evaluation of AI applications, with a focus on chronic disease care and health outcome optimizationCollect, preprocess, and clean healthcare data including vitals, labs, and clinical interactionsBuild and test prototypes and proof-of-concept models for digital health applicationsSupport dataset development, feature engineering, and model performance evaluationPerform exploratory data analysis and generate insights to inform model development or clinical researchParticipate in writing technical documentation, visualizations, research reports, and contribute to academic publications or white papersCollaborate with clinicians, engineers, and analysts to align AI solutions with clinical and operational needsQualificationsCurrently pursuing or recently completed a degree in computer science, data science, or a related technical field (undergraduate or graduate level).Demonstrated experience or coursework in machine learning, data analysis, or AI development, with a portfolio of applied or research-based projectsProficiency in Python and familiarity with data science libraries such as Pandas, Scikit-learn, and SQLStrong analytical and problem-solving skills, especially when working with real-world, messy dataEffective communication and collaboration skills, including the ability to contribute to technical writing and interdisciplinary teamworkInterest in digital health and healthcare AI applicationsWhat You’ll GainHands-on experience applying AI and machine learning in a healthcare contextMentorship from experienced researchers, engineers, and academic collaboratorsExposure to the end-to-end AI research workflow—from data collection and modeling to evaluation and publicationClose collaboration with clinical operations and product teams solving real-world healthcare challengesOpportunities for academic authorship and contributions to industry-facing researchEqual Opportunity StatementiHealth Labs is committed to diversity in its workforce and is proud to be an equal opportunity employer. iHealth Labs considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. iHealthLabs is an Affirmative Action and Equal Opportunity Employer. Please reference below for more information: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf