Join Our Summer Internship Program and Make a Real Impact
Are you ready to do meaningful work in a cutting-edge, research-driven organization? At Alexion (an AstraZeneca company for Rare Diseases), our summer internship program offers you the opportunity to
develop the skills, knowledge, and connections that will set you up for future success. This program will begin on June 2
nd and potentially run through August 8
th, 2025.
As an intern, you’ll be part of a
dynamic, global team of curious, passionate, and open-minded individuals who are eager to learn, innovate, and grow. You’ll collaborate with industry-leading professionals, contribute to impactful projects, and gain hands-on experience in a supportive and forward-thinking environment.
If you’re enthusiastic about science, innovation, and making a difference, our internship program is your chance to follow your passion and kickstart your career!
Astrazeneca Rare Disease Unit (RDU), Alexion, is a global biopharmaceutical company focused on developing and delivering life-transforming therapies for patients with devastating and rare disorders. Alexion is the global leader in complement inhibition and has developed and commercializes the first and only approved complement inhibitor to treat patients with paroxysmal nocturnal hemoglobinuria (PNH) and atypical hemolytic uremic syndrome (aHUS), two life-threatening ultra-rare disorders. In addition, Alexion’s metabolic franchise includes two highly innovative enzyme replacement therapies for patients with life-threatening and ultra-rare disorders, hypophosphatasia (HPP) and lysosomal acid lipase deficiency (LAL-D). Alexion is advancing the most robust rare disease pipeline in the biotech industry with highly innovative product candidates in multiple therapeutic areas. More information about Alexion can be found at: www.alexion.com.
Position Summary
This intern in Data Science Unit (DSU) of Clinical Pharmacology & Safety Sciences (CPSS) is expected to assist DSU scientists in developing and validating programs to support pharmacometric and clinical pharmacology analyses and ensure that programming elements are in line with the overall deliverable as well as adherence to ICH guidelines, Good Clinical Practices, and regulatory requirements. He/she must demonstrate, at a minimum, an ability to comprehensively integrate statistical concepts with R/Python/SAS Programming in an efficient and effective manner.
Principal Responsibilities
- Apply computer science and information technology methods to provide the technical components that support analysis, reporting, decision-making process, regulatory submissions, commercialization and scientific utilization data for Alexion products.
- Support development and/or validation of programs that generate tables, listings, figures/graphs using Alexion specifications.
- Produce and maintain the technical database standards and Programming Specification documents.
- Identify opportunities to improve the methodology and provide practical solutions for problems.
- Contribute to the development of best practice to improve quality, efficiency and effectiveness.
- Any other activities as required.
Qualifications
Essential
- Extensive R/Python/SAS programming experience
- Knowledge of technical and regulatory requirements related to the role
- Good communication skills
- Collaboration with other functions such as pharmacometrics and statistics teams is required
- Ability to apply programming expertise to problem solving and quality focus
- Provide independent QC
- A clear demonstration of behaviours of
- Truth seeking rather than success seeking
- Agile responsiveness to scientific data
Desirable
- Varied programming languages (R, Python, SAS)
- Proven ability to:
- Independently and collaboratively resolve problems
- Clearly communicate processes and standards with management and team members
- Minimal knowledge and understanding of:
- Relational Databases.
- Must have R programming experience
- Good Clinical Practice principals.
- Good Programming Practice principals.
Education
- Graduate or above student: MS in Statistics, Biostatistics, Computer Science, Mathematics or related area.