Jobs / United States / Samsung Research America INC
Clinical Innovation Lead - Digital Health
Samsung Research America INC · 🇺🇸 665 Clyde Avenue, Mountain View, CA, USA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 55 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 18 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Samsung Research America INC paid sponsored hires in similar roles3 certified filings for “Designer, Interaction Design” (Web and Digital Interface Designers) in CA: $121k–$157k, median $154k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Samsung Research America INC
The US Department of Labor certified 55 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 18 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Samsung Research America INC →
About the role
Lab Summary: Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory. Millions of Samsung users’ lives around the world have been touched by our products, including the Samsung HeartWise for cardiac rehabilitation and the Samsung ECG Monitor App . Samsung’s unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience. Join us! Position Summary: The Clinical Innovation Lead leads the clinical function within Digital Health Research and is the single point of clinical accountability for the organization, spanning early research through late development. The role sets the clinical standards that other functions build against and directs the physicians and clinical consultants who apply those standards across programs. This is a practicing physician who brings clinical, technical, product, interpersonal, and translational expertise. Unlike an embedded individual contributor, this role owns clinical capacity as a resource: it decides which programs receive clinical depth, at what intensity, and by whom. It reports directly to the Head of Digital Health Research alongside the other function leads, and it grows the clinical team as the breadth of clinical areas supported by DHT expands. Position Responsibilities: • Manage a team of physicians and clinical consultants supporting DHR, with dotted line to the programs they are embedded in. • Advise on clinical and physiologic endpoint criteria at biosensor and algorithm maturity gates. • Advise on any feature that makes or implies a health claim, whether it originates in Digital Health Research or in Product. Research that transitions into Product carries its clinical requirements with it, and the Head of Clinical Science remains the accountable clinical reviewer through launch. • Advise on intended use, indications, and clinical claims language before external release, in partnership with Regulatory Affairs and Quality. Health AI : Guided by principles of minimizing harm, maximizing health benefit, and increasing adoption of Samsung Health products. • Health Assistant : Own and manage the clinical workstream for the AI health assistant end to end — content and knowledge-base design, evaluation, and iteration against deployed performance. Define what the assistant is clinically permitted to say for each use case, where it must defer to a clinician, and how it handles red-flag presentations. Partner with the GenAI engineering team to translate those standards into system behavior, and set the clinical acceptance criteria a release must meet before it ships. Direct the physicians and clinical consultants who author, review, and grade assistant outputs • AI Coach : Own clinical direction across the AI coaching portfolio — the physiologic reasoning behind each recommendation, the clinical breadth and reach, and the boundaries of what a coach may advise for a given user profile. Work alongside the product team to keep coaching content evidence-grounded and matched to user risk. Set the clinical oversight model for deployed models: what is reviewed pre-launch, what is monitored post-launch, and what triggers rollback. Direct the clinical consultants who advise on the specialty criterion of the AI coach. Clinical Support of the R&D Portfolio : Guided by pr