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The successful candidate will be responsible for analyzing and integrating orthogonal genomic datasets in order to infer the pharmacogenomic impact of cis-regulatory elements and noncoding sequence va...
Working closely with interdisciplinary teams of wet lab and dry lab collaborators to analyze and interpret high-dimensional biological data (e.g., bulk RNAseq, single-cell RNAseq, CRISPR screens, pro...
. This role will apply analytical methods and statistical analysis to diverse sources of data and share results in varying formats and will have an interdisciplinary background demonstrating knowledge...
Developing new external collaborations with academia and industry partners to leverage tools to exploit human genetics in order to discover new drug targets...
Undertake independent and collaborative research, including the development of new data analytic procedures. Design, conduct, and publish original research in peer reviewed journals...
Build confidence with our business partners by adding value to discussions, being responsive, and following through on action items Participates in the preparation, presentation and review of clinical...
Coordinating with developers and product users to ensure all requirements are assessed and taken into account. Working with the IT, Business Development, Finance, Operations, Legal and other teams as...
Collaborate with multi-disciplinary teams of engineers and analysts using classical and modern statistical learning methods. Communicate effectively with non-statisticians and engage in engineering di...