Intern: Statistical Genetics (R&D Translational Biology, Human Genetics)

  • Full-time
  • Region: US
  • Department: Research & Development

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 12-week internship role from June - August 2022. Employees can work remotely from anywhere in the contiguous U.S., or choose to work on-site.

In Biogen’s Human Genetics group, statistical geneticists, genetic epidemiologists, and clinical geneticists work together with molecular biologists, computational biologists, bioinformaticians, and clinicians to identify and prioritize novel drug targets, and advance drug targets toward clinical development. We leverage our understanding of human genetics and genomics, disease biology, and cutting-edge technologies for deeper analysis of pathogenic mechanisms.

We seek a talented Intern with strong analytical and communication skills to apply and develop statistical genetic methods to help identify and prioritize drug targets for neurodegenerative diseases.

Position Description

We seek a talented Intern to apply a range of statistical/bioinformatics techniques to large-scale genetic, genomic, and clinical data.

As an intern, you will:

  • Apply and further develop a statistical technique called Mendelian Randomization (MR) to discover biomarkers that are associated with the progression of neurological disease outcomes.
  • Conduct a range of simulations to evaluate the statistical power of this analysis.
  • Apply MR systematically to real-world datasets on the biomarker-disease pairs available where the MR is well enough powered to detect a relationship. 

Results from this project will identify a well-curated set of disease-relevant biomarkers, which can then be used to translate information from human genetics to generate improved therapeutic targets and hypotheses.   

You will meet weekly with your mentor to discuss experiments and results, and be given the opportunity to present their results internally.

Candidates from diverse backgrounds are encouraged to apply.

Qualifications

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

Required:

  • Programming skills in R
  • Experience with Unix scripting environment
  • Competency in statistics
  • Outstanding written & oral communication
  • Strong self-motivation

Preferred:

  • Knowledge of Mendelian Randomization techniques and applications

Education

  • Ph.D. student preferred; talented Master’s students may be considered
  • Graduate student in Statistical Genetics, Genetic Epidemiology, Human Genetics, Biostatistics, or related field
  • Must be enrolled in a Master’s or Ph.D. level program, or have graduated in the past year from a Master’s or Ph.D. level program

Additional Information

All your information will be kept confidential according to EEO guidelines.

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