Genomic Data Coordinator
1 month ago
**Job Description** About This Role**
In Biogen’s Translational Sciences group, we leverage cutting-edge data and insights from human genetics and genomics, multi-omics, disease biology, and real-world patient and population cohorts to identify, validate, and prioritize novel drug targets, and to advance pipeline programs towards clinical development up until regulatory approval. For this, we closely collaborate with data scientists, biologists and clinical experts at Biogen as well as externally to impact decision-making at all stages of the drug discovery and development process.
**What You’ll Do **You will work independently and creatively in a cross-disciplinary environment to:
- Data organization and harmonization of public, privileged and proprietary datasets with reproducible data wrangling pipelines, so they can be readily applied in our analytical pipelines
- Inventory and document existing datasets, including removal or archive redundant or older datasets
- Ensure compliance of data usage and work with the group to submit progress reports to the data providers (if needed)
- Keeping track of data access from Biogen data consumers
- Communicate and summarize updates of genomics data to Biogen data consumers
- Attend and contribute to Research-wide IT initiatives and bring back learnings to the group
- Opportunities to collaborate in scientific projects (with external presentations and publications)
**Qualifications** Required**
- Ph.D. or equivalent degree with 0-2 years of experience, or M.S. degree with 4-6 years of experience in Bioinformatics, Computational Biology, Data Science, Computer Science, Information Systems, Human Genetics or a related quantitative field
- A sound scientific background with the ability to read methods and results from publications to appropriately harmonize and document datasets
- Experience using large scale data transfer tools (experience with one of the following or similar tools: Amazon S3 CLI, gsutil, Aspera, lftp, pyEGA, rsync, etc.)
- Expert BASH scripting/command line user
- Proficient in python
- Experience with handling genomic data and summary statistics (e.g., VCF/gVCF files, GWAS summary statistics, QTL summary statistics, splicing outputs, RNA-seq and other transcriptomics outputs, proteomics outputs, etc.)
**Preferred**
- Proficient in R/Rmd
- Familiarity with Databricks Notebook, Jupyter Notebook or similar front-end cloud interfaces
- Familiarity with real-world datasets is a plus
**Additional Information**
**Why Biogen?**
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
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