Seeking a highly motivated Ph-D-level / advanced MS Summer Intern (Biostatistician) to support Medical Affairs and Global Value / HEOR within Oncology. This internship is designed for advanced-degree candidates with strong applied statistics experience who are interested in clinical evidence generation, real-world data, and health outcomes research within a global biopharmaceutical environment.
This is a hands-on, analytical internship where the intern will work closely with a dedicated mentor to propose, develop, execute, and present 1-3 applied statistical projects that leverage clinical trial and/or real-world data to support evidence generation for Medical Affairs and Global Value initiatives. In addition to owning end-to-end analyses, the intern will collaborate with cross-functional R&D stakeholders to gain exposure to key clinical development and product life cycle considerations, ensuring that statistical methods are scientifically sound, fit-for-purpose, and clearly communicated to both technical and non-technical audiences.
Duration: 3 months (June-August 2026)
Location: Remote
Pay Rate: $40.00/hour (non-negotiable)
Schedule: Monday-Friday, standard business hours (8am-4pm or 9am-5pm; to be discussed)
location: Philadelphia, Pennsylvania
job type: Contract
salary: $35 - 40 per hour
work hours: 9 to 5
education: Masters
responsibilities:
- Work collaboratively with other members of the Global Medical and Scientific Affairs team to develop and provide scientifically sound analyses that answer questions to support and enhance publications and knowledge of company Pharmaceuticals products.
- Develop, design, and perform post-hoc analyses of existing databases and meta-analyses as needed and appropriate.
- Collaborate and provide statistical support to the HEOR group in relevant areas including HTA and NTAP submissions.
- Develop real world evidence strategies utilizing real-world data assets to design and execute RWE research projects, including the development of protocols and statistical analysis plans, in collaboration with epidemiology and RWE leadership team.
qualifications:
Required:
- PhD candidate (current enrollment) in Statistics, Biostatistics, Mathematics, or a related quantitative discipline OR
- Master's candidate (current enrollment) in a quantitative discipline with 2+ years of applied statistical experience
- Advanced proficiency in SAS and/or R programming for real-world or clinical data analysis
- Strong understanding of drug development regulations as they pertain to biostatistical analysis.
- Excellent written and verbal communication skills, demonstrated leadership abilities, and excellent interpersonal skills, with the ability to explain statistical findings clearly.
- Ability to work independently in a fast-paced, collaborative, team-oriented environment
- Familiarity with CDISC SDTM and ADaM data models and standards.
- Familiarity with HEOR, HTA, NTAP, or payer-focused evidence
- Prior experience or academic focus in Oncology or highly specialized therapeutic areas.
skills: SAS, Oncology, Data Analysis, ADaM, CDISC, R Language, Real World Evidence (RWE), Outcomes Research, Meta Analysis and Indirect Treatment Comparison, Claims Database Analysis, HEOR Endpoints
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.
