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Minimum education: PhD/Doctoral degree from an accredited college/university in bioinformatics, statistics, genetics, computational biology, or related field. Job Title: Bioinformatics Scientist - III (Senior.
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Opportunities for professional development and growth including skill-building in genomics and bioinformatics. We have a new opportunity to support a cutting edge research laboratory at Harvard Medical School and the Dana-Farber Cancer Institute while carrying out research projects.
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Understanding the user of bioinformatics tools including common OMICs Data [dna, rna, methylation, 16S, metabolomics] The Channing Division of Network Medicine at Brigham and Women's Hospital, Boston are looking for exceptional candidates to join the Bioinformatics Core. The core works involves a wide variety of data management challenges of complex data sets, including genomic scale next-generation sequencing data and Data processing or curation.
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Joining the vibrant Dana-Farber/Harvard Medical School research community. The selected candidate will work collaboratively with Dr. Pellman and laboratory members to perform molecular genetics and live-cell imaging experiments, including a method developed in the Pellman lab to combine long-term live-cell imaging with semi-robotic cell picking and single cell genome sequencing.
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First-hand technical experience in at least two of the following disciplines: bioinformatics, computer science, mathematics, genome assembly & annotation, statistics, probabilistic modeling, machine learning, or quantitative modeling of biological systems.
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Master's Degree or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. The Senior Scientist, Computational Biology on the Computational Biology team provides computational, bioinformatic, and statistical expertise and leadership to enrich the analytical capabilities of existing products, as well as to design and build lab protocols and computational analyses for new products.
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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. The successful candidate will have a key role in the analysis of large-scale somatic genomic and clinical data, applying cutting edge algorithms and developing automated methods to support large-scale bioinformatics analysis.
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We are a full service consulting firm that provides consultants with the following expertise: Cerner, Epic, MEDITECH, Allscripts, eClinicalWorks, Athena, PeopleSoft, Lawson, SAP, Workday, Kronos, Premier, Population Health Management/Analytics, Legacy Application Support, Project Management, Business Analysis, Application Integration Analyst, Clinical Education, Top Flight University Talent, Revenue Cycle, HIM, Pharma, Life Sciences,BioInformatics, Clinical Engineering.
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Expertise in algorithmic implementation, statistical programming and data manipulation, and a wide range of contemporary, open-source bioinformatics tools. Demonstrated ability to proactively remain up to date in current bioinformatics techniques and resources and identify and benchmark Client software solutions against established reference datasets.
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Ph. D. in a computational, statistical, biophysics, or bioinformatics related fields. Assessment of treatment effects from both RNA (e.g., bulk, single cell, TCR/BCR, and spatial) and protein modalities (e.g., CITE/REAP-Seq, mIF, and high dimensional flow cytometry.
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We are seeking a highly motivated, flexible hands-on Data Scientist (Principal Scientist) to join our growing Translational Data Science team within the Translational Medicine organization. Expert level fluency in statistical programming using Python, R/bioconductor or equivalents.
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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. Years of post-graduate work experience is not mandatory, nor is it sufficient without demonstrable coding effort.
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Sr. Bioinformatics Scientist. 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.
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The candidate should have a recent MD, PhD or MD/PhD in the data or biological sciences, experience with data interpretation and scientific writing, experience in biostatistics and bioinformatics, and an understanding of advanced bioinformatic approaches pertinent to biological systems.
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Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor’s degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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bioinformatics job Title: post doctoral associate Company: University Of Minnesota in Boston, MA
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