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communication skills for interacting with colleagues and stakeholders. Advanced epidemiology training/work experience preferred (e.g., causal methods, longitudinal analysis, life course methods, missing data
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Specific Functions Review laboratory methods, scientific journals, abstracts and other literature for information applicable to research experiments. Develop new methodology or expand existing one. Recommend
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proteins in non-bilaterian animals (sponges, placozoans, cnidarians, ctenophores). The ideal candidate will have a background in biochemistry, cell biology, or evo-devo, and experience applying these methods
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, and health equity methods and practices Establish partnerships between mentors (Primary and Peer) and mentees based on mutual research interests and background Provide individualized academic coaching
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, population health, and health equity methods and practices Establish partnerships between mentors (Primary and Peer) and mentees based on mutual research interests and background Provide individualized
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engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists
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data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology
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Qualifications Ability to lead MS based projects with minimal oversight. Proficient in basic statistical methods and design of MSI / LC-MS experiments and techniques. 3+ years of relevant experience in a research
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accurate documentation and records of data collected in accordance with the guidelines. Analyze, interpret, and synthesize data and results using scientific and statistical methods. Prepare progress reports