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, and integrate environmental, demographic, and health datasets. Develop reproducible workflows using Python and R to support data transformation, visualization, and statistical modeling. Contribute
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relationships with local health department team members. Work collaboratively with MICOM staff to complete projects. Handle multiple complex projects. Assist with tracking health department requests and help MI
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working within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts. Methods include agent based/individual based modelling, SEIR
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highly organized, proactive, and capable of working independently and collaboratively across multiple projects. Minimum Requirements: Master's degree At least 3 years of relevant laboratory experience
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trial emulations- TTE) * Developing data integration methods to combine multiple massive datasets (UKBB, HCP, ENIGMA, and etc) and local trials and observational studies (e.g, UMMS EHR). * Manuscript
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backup operations on multiple File Systems. Enthusiasm for problem-solving and able to work in a fast-paced environment. Strong interpersonal skills with the ability to communicate effectively. Able
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events, and mobile genetic elements within the Lyme disease system. Lead multiple concurrent research efforts requiring the integration of genomics, wet-lab experimentation, and animal-model data. Genomics
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monitoring. Collect, clean, and analyze data from multiple systems (e.g., enrolment, finance, programme management) to generate actionable insights. Present analytical findings in a clear and visually
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clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments. Primary Duties and Responsibilities Assists with the development
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, Math, or Business Analytics preferred 2 years of Python experience preferred Job Summary Evaluates business requirements and performs complex data integration and analysis utilizing highly advanced