Co-op, Computational Biologist
Remote, MA, United States
Biogen
Biogen is a leading global biotechnology company that pioneers science and drives innovations for complex and devastating diseases. Biogen is advancing a pipeline of potential therapies across neurology, neuropsychiatry, specialized immunology...Company Description
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.
Job Description
This application is for a 6-month student role from July - December 2023. Resume review begins in January 2023.
As a Co-op student in the Translational Sciences group, you will contribute to our mission of discovery and development of new therapeutic targets that are rooted in human genetics and supported by human evidence. The Computational Biology group is dedicated to elucidating disease mechanisms in preclinical and human tissue samples and connecting molecular profiles to clinical outcomes using a variety of omics platforms and integrating data across platforms to derive unique disease insights for target and biomarker discovery.
Position Description
The Computational Biology group is seeking Co-op students currently enrolled in graduate programs with strong background in computational biology and bioinformatics with a keen interest in integrative and machine learning methods to analyze our rich data sets and gain unique insight into disease.
The aims of the project include:
Identifying and applying computational frameworks 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.
Identifying 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.
Processing longitudinal RNAseq and methylation blood profiling data to discover expression and epigenetic signatures associated with disease progression in mutation carrier subgroups.
The intern will join an experienced team of computational biologists and have opportunities to closely collaborate with the broader Biogen R&D community.
Qualifications
For this role we require:
Postgraduate study in Computational Biology, Biostatistics, Biomedical Engineering, or similar fields
Experience with computer programming, UNIX system, statistical analysis
Experience with NGS data analytics and data integration
Machine learning and network analysis is a plus
Background in neuroscience/neurodegenerative diseases is a plus.
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 graduate program
Education
BS required; MS preferred. Ideal candidate is enrolled in PhD program in Computational Biology, Biostatistics, Biomedical Engineering, or similar fields
Additional Information
All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Biology Biostatistics Data Analytics Engineering Machine Learning PhD R R&D Statistics
Perks/benefits: Career development Team events
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