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Field
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the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or Julia), and Experience interacting with and communicating complex
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: Ph.D. in Computational Biology, Bioinformatics, Computer Science or related field. Demonstrated proficiency in Python or R, with experience building bioinformatic workflows and documenting code with
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-rock interactions, hydrogen and methane production, and mineral phase transformations, is an asset. The candidate should be adept at scientific programming languages such as Python or R (preferentially
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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cells and cGMP guidelines Familiar with collecting and analyzing flow cytometry data and single cell data Knowledge of MS Office/Prism software/R Excellent time management skills Communication skills
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, and a demonstrated ability to collect, organize, and analyze data using R or SAS. The candidate selected for this position must be able to meet eligibility requirements for work in the United States at
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, bioinformatics, molecular biology, toxicology, pharmacology). 2. Proficiency in bioinformatics, programming, and tools for the analysis of large genomic datasets and single-cell dataset, including R, linux, python
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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, R, XLstat, Multivariate analysis). Proficiency in Microsoft Office (Excel, Word, Outlook). Willingness to work evening and weekend hours as required. Preferred Knowledge, Skills, and Abilities
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programming languages (e.g., Python, MATLAB, R) for complex data analysis Excellent written and verbal communication skills Ability to work both independently and collaboratively in a research setting Preferred