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analyses; experience contributing to peer-reviewed publications is desirable. *Proficiency in Python and R, including experience with commonly used analysis frameworks such as Seurat, scverse, and
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. * - Other duties may also be assigned. DESIRED QUALIFICATIONS: Proficiency in Python, R, Linux, and command line tools. A strong background in genomics, including WGS, RNA-Seq, and single-cell approaches
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observational health data, particularly electronic health records (EHR) Proficiency in statistical programming (e.g., R or Python) and reproducible research workflows Demonstrated ability to lead analyses and
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developing pipelines for production-level biological data analysis in Python or R. Strong bioinformatics and/or computational biology experience, including machine learning, statistical analysis and data
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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/or bio-fabrication experience. Desired: Proficiency in programming languages such as Python; bioinformatic or biostatistics experience is a plus. Desired: Master's degree in a related scientific field
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settings. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): NGS data. Proficiency in Python and/or R for data analysis and pipeline development. Experience working in a Linux/HPC environment, including job
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): Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related engineering discipline, with relevant professional or research experience. Extensive experience with Python software
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, SKILLS AND ABILITIES (REQUIRED): Demonstrated experience in cancer genomics, including analysis of somatic alterations (SNVs, CNVs, and/or SVs) from NGS data. Proficiency in Python and/or R for data