US Medical Affairs, Lung Cancer Evidence & Strategy Intern
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We are looking for PharmD and Master's level students studying Pharmaceutical Sciences, Biostatistics, Epidemiology/Public Health, Data Science, Biomedical Sciences, Cancer Biology, Pharmacology, Translational Medicine, or related life-sciences disciplines for a 12-week internship role at our site in Gaithersburg, MD from May 24, 2027 to August 13, 2027.
Position Description:
Conduct structured reviews of the evolving lung cancer evidence landscape, with a focus on EGFR-mutated non-small cell lung cancer, emerging therapies, clinical trials, biomarkers, and other scientific developments relevant to U.S. Medical Affairs.
Analyze and synthesize clinical trial results, scientific literature, and major oncology congress updates to identify emerging treatment trends, evidence gaps, and scientific questions that may impact the future management of patients with lung cancer.
Develop and maintain an integrated evidence and competitive landscape that organizes key clinical trials, treatment approaches, relevant endpoints and patient populations, upcoming data readouts, and other scientific developments to support Medical Affairs planning.
Position Requirements:
PharmD and Master's level students studying Pharmaceutical Sciences, Biostatistics, Epidemiology/Public Health, Data Science, Biomedical Sciences, Cancer Biology, Pharmacology, Translational Medicine, or related life-sciences disciplines.
Strong interest in oncology, clinical research, Medical Affairs, or evidence generation is required.
Ability to critically review and synthesize scientific literature and clinical trial data is preferred.
Strong analytical, written, and verbal communication skills, including the ability to summarize complex scientific information clearly, are required.
Experience conducting literature reviews, evidence synthesis, research projects, or scientific presentations is preferred.
Coursework or academic experience in pharmacy, epidemiology, biostatistics, public health, biomedical sciences, clinical research, or a related discipline is preferred.
Exposure to clinical trial design, interpretation of efficacy and safety endpoints, or basic statistical concepts is preferred.
Ability to work independently on a defined project while collaborating effectively with cross-functional stakeholders is preferred.
Proficiency with Microsoft Excel and PowerPoint is preferred; experience with data visualization or analytical tools such as Power BI, R, Python, or similar platforms is a plus.
Candidates must have an expected graduation date after August 2027.
US Work Authorization is required at time of application.
This role will not be granting CPT support.
Ability to report onsite to Gaithersburg, MD site 3 days per week. This role will not provide relocation assistance.
Compensation: $35 - $48 per hour.
#EarlyTalent
Date Posted
03-Nov-2026
Closing Date
16-Nov-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Job details
How this role compares
Computed from every other active Medical Affairs role in our database, not just this employer's listings.
We currently track 122 comparable Intern/Fellow/Postdoc Medical Affairs roles across 42 biopharma companies.
Salary context
3 of 122 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 122 comparable roles
+ 31 more countries
Seniority mix
122 of 122 peers have a known seniority level
Therapeutic area mix
34 of 122 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.