Position: Healthcare Market Research Intern, Digital Health Commercialization
Position at a glance
| Item | Details |
|---|---|
| Position identifier | JD-HMT-B04 |
| Position | Healthcare Market Research Intern, Digital Health Commercialization |
| Track | AI & Digital Health |
| Agreement entity | Hopkins MedTech Group LLC |
| How to apply | CV and a short note by email |
| Supervision | Named project lead, a set weekly meeting cadence and written feedback on deliverables. |
| Work arrangement | Remote / Onsite |
Key To Terms Used
TAM Total addressable market. Every possible buyer, before any realism is applied.
BOTTOM-UP Sizing built from units and prices you can source, not from a headline industry figure.
CHANNEL The route a product reaches a buyer: direct, clinic partnership, retail, or licensing.
A positioning choice that changes evidence burden, cost, and time to market.
WELLNESS / MEDICAL
SENSITIVITY Showing how the answer moves when the least certain assumption changes.
REIMBURSEMENT Whether an insurer pays. It often decides whether a health product has a business.
Intended Role
An early-stage concept needs a defensible answer to who would pay, how much, and through which channel. This role builds that answer from public evidence. You will size the market from the bottom up, map competitors and channels, and assess which commercialization paths are realistic given regulatory and cost constraints. The emphasis is on traceable assumptions, not on optimistic totals.
Principal Duties
– Build bottom-up market sizing models where each assumption is stated, sourced, and independently adjustable.
– Map the competing products across consumer apps, clinical tools, device makers, and skincare brands.
– Research channel options such as direct to consumer, clinic and dermatology partnerships, retail, and licensing.
– Analyze pricing and business models in comparable products, including subscription, per-use, and bundled offers.
– Summarize how regulatory positioning, wellness versus medical, changes the cost and speed of each route.
– Maintain a sourced research log so any number in a deck can be traced back to its origin within one click.
– Use approved artificial intelligence (AI) tools to accelerate research and drafting, then verify every figure against the primary source.
Example Assignments
Assignments depend on active studies, authorized data access, and the internship timeline. Examples may include: – A bottom-up market sizing model with a sensitivity analysis on the three assumptions that matter most
– A competitor and sales-channel comparison with positioning, pricing, and claim comparisons
– A commercialization pathway assessment comparing routes on cost, speed, evidence burden, and risk
Your First Two Weeks
– Assemble the source list: industry data, filings, pricing pages, and public health statistics.
– Build the first bottom-up sizing model with every assumption stated and sourced.
– Map ten comparable products by positioning, price, channel, and claims made.
– Write the one-page question list: what we must know before choosing a commercial route.
About Hopkins MedTech
Hopkins MedTech Group LLC is a U.S. company working in medical technology and in vitro diagnostics. Its work covers clinical performance studies, protocol development and site coordination, data review and quality assurance, and regulatory support for United States and European pathways. The group is also exploring AI and digital health through an early-stage research initiative in facial and skin analysis.
Required Qualifications
– Currently pursuing, or recently completed, a degree in business, economics, public health, health administration, marketing, or a related field, or able to show equivalent self-study or project work.
– Solid spreadsheet skills, including building a model whose assumptions someone else can change and re-run.
– Strong written English and the ability to make a structured, evidence-based argument in a short document.
– Rigorous sourcing habits, including the willingness to label an estimate as an estimate.
– Comfort researching regulated healthcare markets where claims and evidence requirements shape economics.
– No prior market research, consulting, or professional internship experience is required.
Preferred Qualifications
Not screening criteria. Coursework, labs, personal projects, and self- study all count as evidence. – A course or competition project involving market sizing, a business case, or a pitch
– Exposure to healthcare reimbursement, consumer health markets, or dermatology and skincare categories
– Familiarity with research sources such as industry reports, company filings, or public health statistics
What You Will Gain
– Learn to size a market from the bottom up, where every assumption has to survive a question.
– Understand how regulatory positioning changes the economics of a health product.
– Practice building analysis that an executive can challenge line by line and still trust.
– Leave with a sourced market model and pathway assessment you can defend in an interview.
Deliverables
– A sourced market sizing model with documented assumptions and sensitivity ranges
– A competitor and sales-channel comparison with pricing and positioning comparisons
– A commercialization pathway memo with a recommendation and its stated conditions
Supervision And Evaluation
Interns report to a named project lead, meet on a set weekly cadence, and receive written feedback on each deliverable. Work is evaluated on accuracy and traceability of sources, documentation quality, responsiveness to feedback, judgment about what to escalate, and disciplined use of approved AI tools. We expect steady learning and iteration rather than polished perfection on the first day.
What We Do Not Expect
– Prior internship experience, or a name-brand employer on your CV.
– Knowing the regulations, tools, or vocabulary before you start; the terms box above is where most people begin.
– Certainty. Saying what the evidence does not support is treated as a strength, not a gap.
Application And Selection
An application is a CV plus a short note naming the track you want and one project from this document you would like to work on, and why. First-round interviews are with the project lead who would supervise the work, not with a screening panel.
Data Handling, Privacy, And Responsible AI
Interns work only with data and documents they have been explicitly authorized to access. Patient-identifiable information, study data, client- confidential files, and proprietary materials must never be uploaded to public or unapproved AI services, shared outside the project team, or stored on personal accounts or devices. AI tools may be used only
where the project lead has approved them for that task, and all AI- assisted work must be independently verified before it enters any deliverable. The intern and the project lead remain accountable for the final result.
Equal Opportunity & Educational Nature
Hopkins MedTech Group LLC provides equal internship and employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. Internships are educational in nature; interns do not provide medical advice, make regulatory determinations, or represent the company to any health authority, client, or study site. The AI and digital health initiative described here is early-stage research, not a cleared, approved, or clinically validated product. Assignments, data access, duration, and supervision are confirmed in the final project description.
How to apply
for an internship.
Read the position description
Pick the track and the role that fit your studies and interests.
A CV and a short note
Email info@hopkinsmedtech.com. Name the track you want, one project from the position description you would like to work on, and why.
A conversation about the work
First-round interviews are with the project lead who would supervise your work, not with a screening panel.
Completed intern projects
Digital Health Competitive Analysis & Market Entry Assessment
- Researched digital health companies across patient engagement, remote monitoring, and healthcare software categories.
- Built a competitor benchmarking matrix comparing target customers, pricing models, distribution channels, and product positioning.
- Developed a preliminary market sizing and go-to-market assessment, including TAM/SAM/SOM assumptions and B2B versus B2C commercialization considerations.
Intern feedback
I remember putting several digital health companies in the same category because their products looked similar. During our meeting, my mentor pointed out that one company sold directly to patients while another sold to hospitals.
That led us into a discussion about procurement, sales cycles, and why the actual buyer isn't always the end user.
I ended up reorganizing my entire competitor analysis around customer segments rather than just features.
Healthcare Market Research Intern · feedback collected by the program team and edited for length · name withheld
