About Biogen:
At Biogen, our mission is clear – we are pioneers in neuroscience. Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious psychiatric, neurological, neurodegenerative diseases. Together, our employees create, commercialize, and manufacture transformative therapies for our patient population.
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As an intern or co-op at Biogen, you can expect to be placed on a real project, under the guidance of experienced professionals and subject matter experts who are invested in your career and academic growth. We also ensure that you have plenty of opportunities to build your network, learn more about our organization through weekly lunch and learns led by leaders from across the company, and join us for several fun events.
Summary
This application is for a 12-week internship role from June – August 2024. Resume review begins in January 2024.
The Clinical Genetics team in the Genomic Medicine group at Biogen plays a pivotal role in designing and developing strategic approaches to patient identification and recruitment for Biogen’s clinical trials. In addition, the team leverages a wide range of genetic and phenotypic data to drive drug target discovery and assess various clinical endpoints.
As part of an ongoing project centered around Parkinson’s disease, our primary objective is to conduct a meticulous analysis of clinical trial data. This analysis will encompass diverse pharmacogenomics investigations, considering specific phenotypes of interest, targeted endpoints, and a variety of genetic data sources, including comprehensive datasets from whole exome sequencing and array studies. The analytical approach will involve the application of tailored statistical methods designed to address the specific research questions under investigation, including, but not limited to, baseline and longitudinal regression analyses, among others. This comprehensive methodology ensures a thorough exploration of the data to derive meaningful insights and contribute to advancing our understanding of Parkinson’s disease within the clinical and genetic contexts.
The intern joining our team will benefit from mentorship provided by a group of experienced clinical geneticists and statistical geneticists. The intern is expected to work with public and Biogen proprietary large-scale biobanks and trial data and will have opportunities to interact with other functions in Biogen to learn about how human genomics can impact the drug development pipeline.
Position Description
The Clinical genetics team within the Genomic group is seeking a highly motivated intern to participate in pharmacogenomic analyses focused on Parkinson’s disease trial data.
The key objectives
- Develop a deep understanding, and proficiency in genome—wide association studies, whole exome sequencing, and whole-genome sequencing.
- Apply statistical approaches to analyze complex genetic and phenotypic data.
The intern will join an experienced team of statistical geneticists and genetic epidemiologists. Opportunities to collaborate with the broader Biogen R&D community will be provided. The intern position includes the chance to showcase internal work at Biogen and potentially present findings externally if deemed appropriate.
Qualifications:
- Experience with data science tools and frameworks (e.g., Python, R, STATA, Power BI, etc.).
- Understanding of statistics and statistical genetics.
- Background in human genetics and neurodegenerative diseases.
- In-depth knowledge of whole exome sequencing and array data.
- Effective teamwork and communication skills.
To participate in the Biogen Internship Program, students must meet the following eligibility criteria:
- Legal authorization to work in the U.S.
- At least 18 years of age prior to the scheduled start date
- Be currently enrolled in an accredited college or university
Education
Ph.D. (or equivalent) or M.S. in statistical genetics, epidemiology, genetic epidemiology, genomics, human genetics, statistics, computer science, bioinformatics, or other related fields
Location
Cambridge, MA (hybrid) or Remote