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US Medical Affairs, Lung Cancer Evidence & Strategy Intern

Lieu Gaithersburg, Maryland, États-Unis Job ID R-263259 Date de publication 11/03/2026

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.



AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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