Clinical Genetics Co-op

Summary

Join our team as a highly motivated co-op student to participate in focused analyses of clinical trial data and/or other data sources to gain insight into genetic factors relevant to risk, progression, and response to treatment in Parkinson’s disease (PD), amyotropic lateral scleroisis (ALS), Alzheimer’s disease (AD), and/or other complex diseases.

Requirements

• Experience with standard 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 analysis of WES, WGS, and array data
• Effective teamwork and communication skills

Responsibilities

• Work with Clinical Genetics colleagues and disease-area experts to design and execute analytical strategies to address critical questions in Biogen’s therapeutic areas of interest (e.g., PD, ALS, AD)
• Apply statistical and data visualization approaches to glean insights from complex genomic and phenotypic data
• Gain experience in the application of analytical methods such as GWAS, pheWAS, and rare variant analysis to clinical trial data
• Identify and explore other internal, as well as external data sources, to replicate, inform, and/or enrich findings generated from clinical trial data analysis
• Gain experience communicating results to colleagues, including scientists with diverse training and backgrounds

Benefits

• Opportunities to collaborate with the broader Biogen R&D community will be provided
• The co-op position includes the opportunity to showcase work internally at Biogen and to potentially contribute to scientific posters or publications or to deliver external presentations, if deemed appropriate