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The Karczewski Laboratory in the Center for Genomic Medicine (CGM) and Analytic and Translational Genetics Unit (ATGU) at Massachusetts General Hospital (MGH) and the Broad Institute of Harvard and MIT is seeking exceptional computational biology candidates to build tools necessary to visualize and interpret massive data sets of human genetic variation and functional genomic information.
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Experience as Computational Biology co-lead for pre-clinical drug discovery programs. PhD degree in computational biology, bioinformatics, or a related field with 5+ years of experience.
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REQUIRED : Ph. D. in computational biology, computer science, bioinformatics, physics, engineering, or a related field; strong programming skill in Python, R, MATLAB, or C/C. COMPUTATIONAL RESEARCH SCIENTIST, CHUNG LAB , Picower Institute for Learning and Memory , to use computational toolkit developer experience to support ongoing research by finding solutions and improvements to the current Chung Lab technologies and processes.
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PhD degree in computer and information sciences, bioinformatics, cheminformatics, computational biology/chemistry with a minimum of 3 years' experience, or PhD in Biology, or life science field with minimum of 4 years’ experience in data sciences.
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Work with structural biology, medicinal chemistry, DMPK, and data sciences colleagues to interpret results and recommend improvement strategies. We are seeking an enthusiastic and highly motivated Senior Scientist to join the Computational Chemistry group for client.
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D. degree with 2+ years (or MS degree with 5+ years) of working experience in the industry in the field of systems biology, bioinformatics, computational biology, or equivalent; A self-motivated bioinformatician with experience in next-generation sequencing, systems biology, and/or multi-omics.
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In our Brighton/Boston labs, RNA biology meets today's cutting-edge genomics, computational biology, and deep-sequencing technologies to create a new class of medicines that address the underlying causes of disease.
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B.S., M.S., or Ph. D. in Computer Science/Engineering, Bioinformatics, or Computational Biology with demonstrable software development project experience. Promoting and facilitating exposure of Lattice computational innovations to the synthetic biology community.
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Experience with NGS approaches and collaboration with computational biologists to design. PhD in molecular biology, biochemistry, or related fields. Flagship Labs 84, Inc. is a privately held early-stage company that is applying advanced biological and computational platforms to discover breakthroughs in detection of and intervention against the etiologies that drive progression from health to disease.
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QualificationsMD with clinical experience (e.g., residency), Ph. D., Masters or Bachelors degree in Medicine, Biotechnology, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Computational Biology, Biology or a related discipline.
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As a Senior Staff Scientist ML within the Translational Biology Data Science department, you will be a core member of a team of data scientists, software engineers, and translational biologists building a powerful computational platform for advancing the research and development of new medicines.
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Ph. D. in Computer Science, Bioinformatics, Computational Biology, Statistics or a related quantitative discipline with at least 3 years experience working on real-world data. Exposure to mass spectrometry-based proteomics and/or computational proteomics is a strong plus.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
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PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years. They will be involved in the processing and analysis of NGS data (with a focus on WES/WGS, SNVs/CNVs, ctDNA) and will need a solid understanding of computational approaches for cancer genome analysis and cancer biology to derive meaningful and reproducible biological insights.
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MD with clinical experience (e.g., residency), Ph. D., Masters or Bachelors degree in Medicine, Biotechnology, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Computational Biology, Biology or a related discipline.
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computational biology jobs in Boston, MA
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