Jobs / United States / Komodo Health INC
Senior/Staff Consultant, Research
Komodo Health INC · 🇺🇸 United States
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 9 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 2 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 Komodo Health INC paid sponsored hires in similar roles1 certified filing for “Senior AI Engagement Manager” (Operations Research Analysts) in NJ: $195k–$195k, median $195k. Most were filed at wage level II (100%) — 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 — Komodo Health INC
The US Department of Labor certified 9 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 2 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 Komodo Health INC →
About the role
We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health Our Evidence Intelligence team applies health economics and outcomes research (HEOR) methods to real-world healthcare data, generating insights that shape decisions for the country's leading life sciences, provider, and payer organizations. We work at the intersection of clinical science, data analytics, and client strategy — increasingly powered by AI that lets us pair speed with quality, moving from data to decision faster than ever without compromising rigor, while collaborating closely with cross-functional teams to deliver impactful solutions to the industry's most pressing challenges. This role also includes enablement and specialist support for Marmot, Komodo's AI platform, as we help clients and internal teams put it to work. The Senior/Staff Consultant is both a rigorous analytic lead and a trusted advisor to clients: someone equally comfortable designing a study, defending a methodology, and sitting across the table from a client stakeholder to translate findings into action. This role exists to advance Komodo Health's mission of empowering healthcare stakeholders with data-driven, AI-augmented solutions that improve patient outcomes and healthcare delivery. Looking back on your first 12 months at Komodo Health, you will have… • Led multiple client-facing research engagements from scoping through delivery, serving as the primary point of contact and trusted advisor for key stakeholders. • Built and maintained strong, consultative relationships with client teams — proactively surfacing insights and shaping the ongoing research agenda through regular dialogue rather than one-off reports. • Developed innovative methodologies for analyzing real-world healthcare data, incorporating AI/ML and generative AI tools to accelerate analysis and improve rigor. • Established yourself as a subject matter expert in specific therapeutic areas or healthcare domains, recognized both internally and by clients. • Served as a go-to specialist for Marmot and AI-native workflows more broadly, enabling clients and colleagues to adopt and get value from Komodo's AI tools while mentoring the team on new approaches. You will accomplish these outcomes through the following responsibilities… • Design and execute research studies using real-world healthcare data sources, applying both traditional statistical methods and emerging AI-enabled techniques. • Lead client conversations and working sessions — presenting findings, navigating questions in real time, and adjusting analysis based on client feedback. • Distill complex datasets into clear, actionable