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Field
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,SPSS,Stata, R, Tableau, or similar, data collection approaches, and research/design evaluation. Demonstrated expertise in statistical analysis using scripting languages such as Stata, R, or Python and
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, and research/design evaluation. Demonstrated expertise in statistical analysis using scripting languages such as Stata, R, or Python and experience with at least one object oriented programming
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completion to deadlines. Develop scripts and data processing pipelines using R or Python, leveraging advanced expertise for data processing, model development, and data visualization. Work with senior staff
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welfare benefits. One on one mentorship with PI of the lab and daily discussions. Opportunity to work in multiple animal models of motor behavior. Exposure to cutting-edge scientific research and
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defined standards for data integration. Integrate data from source systems into a common data layer and integrate with multiple data formats Other duties as assigned. Qualifications Bachelor's degree in
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, as well as using your initiative to manage multiple projects and prioritise workloads. As the successful candidate, you will also demonstrate: Completion of minimum 4 years of tertiary study and
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clinical translation. Our work is supported by multiple NIH grants, including funding from NIAMS, the NIH AMP-AIM Team Science Leadership Scholars Program, and the Office of Research on Women’s Health, as
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patients and cancer-free individuals, and will integrate these data alongside other data modalities (e.g., patient outcomes, functional genomics) to enable new clinically relevant discoveries across multiple
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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at the intersection of computational biology, immunogenomics, and cancer biology. The successful candidate will play a key role in co-leading the analysis of single-cell and bulk RNA sequencing data across multiple