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QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples.
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Applicants with backgrounds in molecular cloning, mouse work, NHP work, gene editing, microscopy, human and mouse genetics, next-gen sequencing, bioinformatics, single-cell sequencing, or protein/structural biology are preferred.
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Seeking a talented and highly motivated Bioinformatics Research Scientist to develop, optimize, and implement data analysis pipelines and analytical tools that enable comprehensive tumor genomic profiling for cancer biology research and cellular senescence biomarker discovery.
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The Department hosts diagnostic services that include bacteriology, mycology, virology, anatomic and clinical pathology, parasitology, and molecular diagnostics. Potential areas of focus include but are not limited to inflammation, host-microbe/microbiome interactions, bioinformatics, global health, vaccine science, autoimmunity, neuroinflammation, cancer immunology, innate immunity, immunopathology, and viral immunity.
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Bachelors degree (Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science) Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery.
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Within this setting, the Department of Biology comprises a diverse faculty of teacher-scholars involved in a wide range of applied and theoretical research relevant to natural resources, molecular biology, and health sciences.
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Graduate study in related fields such as agronomy, horticulture, animal, dairy, or poultry husbandry, entomology, microbiology, plant pathology, chemistry, molecular and cellular biology, and physiology that involved cross-training in genetics is qualifying, provided it placed sufficient emphasis on genetics.
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A Ph. D. or equivalent experience in Bioinformatics, Structural Biology, Biophysics, or another relevant field. Strong scientific background, including an understanding of, molecular biology, structural biology, and statistics.
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Candidate with experience microbiology, genetics, bioinformatics, nutritional biochemistry, molecular biology, is preferred. The successful candidate will conduct research activities and take a leading role in method development and high throughput analyses using whole genome sequencing and bioinformatics technologies applied in varied research and development settings to detect, differentiate, evaluate functional capacity, growth conditions and more, of food microbiomes, human gut microbiomes, soil and plant microbiomes.
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DESIRED SKILLS AND EXPERIENCE Experience in cancer research, including a working understanding of computation approaches for cancer genome analysis, is highly desirable REQUIRED EDUCATION & EXPERIENCE Master or Ph. D. in Bioinformatics, Computational Biology, Computer Science or related computational fields.
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For this, we will employ cutting-edge technologies, including mouse models, multi-omics, advanced bioinformatics, patient derived models, and patient samples to understand the nature of cancer cell-TME interaction and explore how to target TME. The candidate will investigate molecular mechanisms by which TME facilitates cancer metastasis and therapeutic resistance, leveraging cutting-edge computational biology, state-of the art imaging technologies, mouse and patient-derived models.
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The successful applicant will have extensive experience in the fields of neuroanatomy, cellular and molecular biology, biochemistry, iPSC culture, human genetics, neuroscience, epigenetics, epitranscriptomics and bioinformatics.
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Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD.
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As an important and vital member of the team, you'll be gaining experience in stem cell biology, cellular reprogramming, high-content imaging, and various molecular biology techniques.
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Previous patent prosecution law firm experience, patent bar membership, and a background in one of the following fields: cell or molecular biology, immunology, biochemistry, bioinformatics, organic chemistry, medicinal chemistry, cancer biology, pharmacology, biophysics, or digital health focused disciplines.
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