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Field
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Data Integration Apply for Funding and Grants Writing Scientific Manuscripts Maintenance of Bioinformatics Pipelines in the Lab Key Competencies and Qualifications requirements: A Ph.D. degree in
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | about 2 months ago
to therapeutic discovery You bring PhD in computer science, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s) Experience
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immunology, molecular biology, bioinformatics, immune metabolomics, or a closely related discipline. Demonstrated research expertise in immunology, infection biology, immune homeostasis, or a related field
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(eDNA) samples aimed at species detection and distribution assessment; - Transfer of know-how and expertise in the bioinformatic analysis of eDNA data; - Support for project communication, scientific
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for whole genome sequencing including co-ordination of external sequencing contracts and bioinformatics. · Contribute to study design, data interpretation, quality control, and experimental
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including co-ordination of external sequencing contracts and bioinformatics. · Contribute to study design, data interpretation, quality control, and experimental troubleshooting. · Lead genomic
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, and openly release evaluation code. What is Required: A recent Ph.D. (within the last 1-2 years) in Computational Biology, Bioinformatics, Machine Learning, Computer Science, Statistics, or a related
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, Biostatistics, Genetics, Bioinformatics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Strong quantitative, computational, and programming skills. Excellent written and verbal
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are seeking a highly motivated individual to join this exciting collaborative research program that builds upon existing strengths in ADRD biology and genetics (JAX) and bioinformatics methods and machine
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sequencing data using appropriate bioinformatics, statistical, and visualization workflows. Support the development, testing, and harmonization of field, laboratory, and data-analysis protocols. Contribute