Oncologist email list
Cancer centers, not call lists. The oncologist email list, 8,747 US clinics.
For teams selling into oncology. We map the community practices the big databases collapse into a single health-system row, then attach a verified decision-maker to each clinic.
Why the big databases miss them
Community oncology is where the budget actually sits.
are independent of a hospital chain
Community oncology, not the academic medical centers everyone already lists. That is where the budget owner picks up the phone.
run a single clinic, not a network
Solo and two-site groups, the practices a health-system roll-up flattens into one parent record. We hold them separately.
have no decision-maker on LinkedIn
Practice administrators and medical directors rarely keep a public profile. A LinkedIn-only database stops here. We do not.
Source: Orbital data, 2026-04.
What's inside each record
The clinic, the decision-maker, and the signals your team scores on.
A list broker stops at a name and an email. We hand you the clinic, the contact who actually buys, and Orbital's agents enrich the record with the custom signals your pipeline needs.
Business identifiers
- Clinic name
- Website
- NPI and group affiliation
- Sub-specialty
- Years in operation
Location
- Street, city, state, ZIP
- Metro and CBSA
- Sites in the group
- Health-system affiliation, where present
Decision-maker
- Full name and role
- Verified email, direct and clinic-level
- Direct dial and clinic line
- LinkedIn, where present
- Seniority and decision-maker level
Signals
- EHR in use
- Clinical trial activity
- Recently opened or relocated
- Hiring oncologists or APPs
- Google rating and review count
Custom agent signals
The part a static list can't give you.
Point Orbital's agents at your ICP and they research each clinic for the signals you care about, then attach them to the record. A few that teams selling into oncology ask for:
If you can define the signal, an agent can go find it. That turns a list into a scored, ready-to-work account set, instead of a static row that bounces.
What we don't fake: no scraped NPI dumps, no stale CMS rolls, no padded counts. If we cannot stand behind a field, it is not in the record.
Coverage
Every sub-specialty, all 50 states.
The list spans the full population of US oncology clinics, weighted the way the market actually is. The largest states carry the most depth.
By sub-specialty
Leading state markets
Selling into other healthcare specialties? The dentist email list and the med spa email list follow the same build. For the broader trades adjacency, see the HVAC email list or the restaurant email list.
The difference
The list the enterprise databases collapse.
Most contact databases are built from the top down. They start with the academic medical centers and the big national networks, the names every oncology vendor already knows, then they thin out fast below that. The trouble is that oncology in the US is not shaped that way. Community practice still carries roughly two-thirds of the patient load, and that is exactly the part the big tools render as one rolled-up parent row.
We build this list from the bottom up. We start with the full count of 8,747 US oncology clinics, then attach a decision-maker contact at each one: the practice administrator who owns the EHR contract, the medical director who signs off on the lab vendor, the owner-physician on the smaller two-site groups. Two ways in: people we match from professional profiles, and clinic-level emails we source directly from the practice. The second path is the one that matters here, because a community oncology clinic with a low-traffic website and a director who never updates LinkedIn still has a front desk and a contract calendar.
The honest trade: we will not quote you a million oncology emails, because the clean, real number of US clinics is 8,747 and we are not going to pad it. You get contacts at practices that actually pick up. We will tell you when not to buy from us too: if your motion is a single seven-figure deal at a top-20 NCI center, a list is the wrong tool and our enterprise verticals page is the better start.
How we build it
Mapped, matched, validated, enriched.
Mapped. We start from the full population of US oncology clinics, the same 8,747 in our 2026-04 curated pull. Each entry is a clinic-level entity, not a physician row, so a 14-doc group does not inflate the count to 14.
Matched. For each clinic we identify the decision-maker by role, with seniority recorded, so a vendor knows whether they are reaching the practice administrator, the medical director, or the owner-physician before the first send.
Validated. Email addresses are validated by our data source before they reach you, and anything that fails validation is dropped rather than counted. We would rather hand you a smaller list that lands than a bigger one that bounces.
Enriched. Then our agents attach the custom signals you score on, so the list arrives sorted by fit, not in the order we happened to find it.
Source: Orbital data (curated company-grain pull), April 2026.
Who buys this list
One list, several buyer motions.
Oncology EHR & software
Pitch practice administrators and medical directors who own the platform contract at community oncology groups.
Lab & diagnostics
Reach the people who pick the precision-oncology lab, the molecular test vendor, and the send-out partner.
Pharma & biotech
Build a community-oncology call deck for medical affairs, KOL programs, or commercial launches outside the NCI footprint.
Infusion & radiation equipment
Sell pumps, chairs, linacs, and consumables to the clinics that buy direct rather than through a health-system GPO.
Clinical trial recruitment
Source community sites for trials by sub-specialty, state, and EHR, beyond the same 50 academic centers everyone already lists.
RCM, staffing & services
Pitch billing, prior-auth, locum, and APP staffing to the administrator who signs the contract, not a switchboard.
Questions
Before you ask sales.
Can I get a free sample of the oncologist list?
Yes. Tell us the sub-specialties or states you want and we send a sample of around 100 records so you can check the data against your own before anything changes hands.
Is this a company-grain or contact-grain list?
Company-grain. The 8,747 number counts oncology clinics, not individual physicians. Each clinic record carries one or more decision-maker contacts attached: medical director, practice administrator, owner-physician, where available.
What fields come with each record?
More than a name and an email. Each record carries the clinic (name, website, sub-specialty, address, group size, Google review count), the decision-maker contact (verified email, direct dial, LinkedIn, role, seniority), and any custom signals your team scores on. We do not pad records with NPI dumps or stale CMS rolls.
Can you add custom signals to the data?
Yes, and it is the main reason teams pick us over a static list. Point our agents at your ICP and they research each clinic for the signals you score on, such as recently opened, hiring oncologists, running clinical trials, the EHR in use, or independent versus health-system-affiliated, then attach them to the record.
Where does the data come from?
We start from the full population of US oncology clinics, all 8,747 of them, then attach contacts two ways: decision-makers matched from professional profiles, and clinic-level emails sourced directly from the practices. Both are validated by our data source. The count comes from Orbital data (curated company-grain pull), April 2026.
How current is the list?
Records are refreshed on a rolling schedule and emails are validated before they reach you. Anything we cannot validate, we leave out rather than pad the count.
Can I filter by sub-specialty or state?
Yes. You can narrow by sub-specialty, such as medical oncology, radiation oncology, surgical oncology, hematology-oncology, gynecologic oncology, and pediatric oncology, and by state or metro before you take anything.
How is this different from ZoomInfo or a list broker?
Two reasons. First, we cover the small independent and community oncology practices that enterprise tools thin out on at the clinic level, and alongside professional-profile contacts we hold clinic-level emails that reach practices a LinkedIn-only database never surfaces. Second, our agents enrich each record with the custom signals you score on, so you get a scored account set, not a flat spreadsheet.
See the oncology list before you pay for it.
Tell us the sub-specialties and states you want. We will send a free sample of around 100 verified records you can check against your own, no commitment.
Get a free sample