At Biogen, our mission is clear – we are pioneers in neuroscience. Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious neurological and neurodegenerative diseases. Together, our employees create, commercialize, and manufacture transformative therapies for our patient population.
We at Biogen are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients who we serve. We are focused on strengthening our foundation to advance our overall Diversity, Equity and Inclusion (DE&I) strategy and, most importantly, ensure all our employees feel included.
As an intern or co-op at Biogen, you can expect to be placed on a real project, under the guidance of experience 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.
This position is a 6 month Co-op lasting from January – June 2022
We are looking for Co-Op students currently enrolled in graduate programs with strong background in computational biology, bioinformatics or statistics with a keen interest in integrative and machine learning methods to analyze our rich data sets and gain unique insight into disease.
As a co-op, you will participate in several projects, including but not limited to:
- You will identify and apply computational framework to combine analysis of epigenetic and genetic data collected from Parkinson’s Disease patients. Your project will interrogate pathways dysregulated in integrated data sets and identify patient subgroups. You will identify epigenetic features that distinguish non-manifesting pathogenic mutation carriers as compared to patient mutation carriers to understand modulators of risk and validate signatures in independent data sets.
- You will help improve Biogen’s analytic pipeline for spatial gene expression profiling by reading associated literature, developing exploratory simulations to compare analysis approaches, and finally apply to Biogen datasets by integrating single nuclei RNAseq (snRNAseq) and spatial transcriptomics data for mouse models as well as human brain tissue collected from Multiple sclerosis lesions. This may involve theoretical exploration of different spatial correlation structures, model forms, missing data imputation strategies, QC filtering approaches, or visualization algorithms
You should have experience with:
- Strong programming in R/Python
- Computer programming, UNIX system, statistical analysis
- NGS data analytics, data integration, machine learning and network analysis
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
Enrolled in MS program. PhD students preferred.
Majoring in Computational Biology, Biostatistics, Biomedical Engineering, or similar fields