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Doctorate (MD, PhD, VMD, or DDS) in computer science, computational biology, data science, bioinformatics, biomedical informatics, biostatistics, engineering, or a related quantitative field is required.
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MS, or PhD in Biostatistics, Bioinformatics, Computational Biology, Bioengineering, Data Science, Applied Math, Physics, or Life Science related scientific field. Combining state-of-the-art mass spectrometry technology with advanced biocomputational services and multifaceted human health data, we enable biomarker discovery at unprecedented speed and scale to provide a deeper understanding of human biology and effectively align biological targets, patients, and drug therapies.
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AbbVie's Genomic Research Center (GRC) is seeking a highly-qualified Systems Biology scientist to join the Bioinformatics Genomic Sciences team at the GRC with a focus on developing computational Systems Biology capabilities for investigating complex biological systems across therapeutics and drug manufacturing.
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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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About the role The Computational Biologist will work closely with scientists and other computational biologists to analyze NGS genomics data and develop bioinformatics methods to solve exciting and challenging problems in cell and gene therapy, immunology, and stem cell biology.
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The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.
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A dedicated scientist who can apply molecular biology and cell culture skills to the design and execution of large-scale macromolecular production to enable multiple drug discovery projects.
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PhD in bioinformatics, computer science, computational biology, genomics, statistics, data science, or a related field with 8+ years of bioinformatics or related experience. Principal Scientist I, Bioinformatics.
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PhD in Biochemistry, Molecular Biology, or a field related to Antibody Production and Screening or equivalent combination of education and relevant experience. Collaborate with our team of diverse expertise, including biochemists, infectious disease biologists, engineers, and computational biologists, to develop and optimize antibody screening and selection strategies.
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Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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The Genomics Research Center (GRC) Immunology Computational Biology group at AbbVie is seeking a highly motivated, experienced computational biology leader to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment and cure of immunological diseases.
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PhD or equivalent experience in Bioinformatics, Computational Biology, Computer Science, or a related field. An exciting start up in the antibody therapeutics field is seeking a highly motivated and skilled Bioinformatics Scientist to join their growing team.
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The Dana-Farber Cancer Institute seeks an Computational Biologist, under Saud AlDubayan and the Van Allen lab ( work as a data scientist on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine.
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Demonstrated experience in genomics or related areas (eg proteomics) and the use of integrative computational biology approaches. The position is a unique opportunity to gain experience in a variety of computational approaches and work with industry leaders in broadening your skillsets in cancer biology, genetics and omics approaches, RWE (Real World Evidence), and computational biology methods including AI. It is also an opportunity to grow yourself in a team environment of feedforward (vs feedback), continuous improvement, and team empowerment.
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Understanding of or interest in computational genomics and applications of AI to molecular biology. We are looking for a (senior) machine learning researcher/scientist who wants to join our mission and be an early part of building our AI-powered platform at the intersection of machine learning and life sciences discovery.
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