Data Scientist
4 weeks ago
Responsibilities:
Your responsibilities will primarily consist of performing analyses and building robust computational pipelines and tools critical to our client's target discovery efforts. You will be expected to:
• Collaborate closely with a multidisciplinary team consisting of human geneticists, biologists, bioinformatics scientists and software engineers, and use your data analysis skills to gain insights from massive genetic datasets
• Work independently and as part of a team to complete projects related to:
1. Deploying robust, scalable data analysis pipelines, software tools, and web applications to support target discovery – including innovative methods to analyze genetic and phenotypic data.
2. Implementing cutting-edge analytical methods and algorithms (both internally developed and those described in the literature).
3. Integrating, analyzing and visualizing large, complex data sets to extract information useful to our target discovery efforts.
4. Perform focused genetic analyses to gain insights into novel target biology and clearly communicate these analyses to colleagues.
5. Perform analyses to address critical platform/application QC.
Requirements:
• This position requires a PhD in bioinformatics or a related discipline (e.g. computer science)
• Core background MUST be in data science or bioinformatics; this position is NOT for scientists with a primarily wet-lab background
• Strong skills in at least one programming language (preferably Python)
• Familiarity with Linux command-line based tools and bash scripting
• Experience using HPC/cloud computing environments (AWS, Azure, GCP)
• Demonstrated experience processing, analyzing, and visualizing genetic datasets to make scientific insights
• A strong understanding of applied statistical methods and the principles of statistical genetics is required.
• Experience working with RNA-seq (or scRNA-seq), GWAS data, and other omics data types a plus • Experience working with UK Biobank data or other large-scale biomedical databases a plus
• Full stack development experience a plus, but not expected
• Comfortable with version control systems such as Git
• Demonstrated ability for writing readable, testable, and SOLID code
• Applicants must have authorization to work in the U.S.
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