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Field
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modeling, bioinformatics, and real-world patient data, the lab is committed to transforming high-dimensional biomedical datasets into actionable insights that directly inform precision medicine and guide
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who is under final consideration for employment with the University. Essential Duties and Responsibilities Implement bioinformatic methods to analyze transcriptomic data across a developmental time
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, bioinformatics, microscopy, and flow cytometry is a plus. The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer, immunology, and infectious disease. Wistar is committed
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qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic epidemiology
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who wish to pursue research specifically in the following areas: (1) Mouse embryo morphogenesis; (2) Mouse genetics and gene regulation; (3) Single cell RNA-sequencing with bioinformatic analysis; (4
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that will be valuable for this position include computational modeling of enzymes, biophysical characterization techniques, and bioinformatics methods. The successful candidate will be able to work
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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of manuscripts for publication Experience in transient transactivation assays, triglyceride extraction/quantification Experience in handling 'omics datasets and bioinformatics analysis Experience with submitting
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, molecular genetics and bioinformatics, as evidenced by publication record preferred Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt
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Neurobiology, Psychology, or related fields. Experience working with small animal models of neurological disease or trauma, stereotaxic surgery, behavior. Experience in bioinformatics (transcriptomics/proteomics