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and senior researchers across disciplines. Set priorities in light of the research agenda and funding commitments, and oversee multiple parallel research tracks from early exploration through
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, and standard bench techniques (e.g., RNA/DNA extraction, PCR, Western blotting, and basic bioinformatics/data processing). Prior experience with these skills is useful but not required. The ideal
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Harvard will make parallel inquiries to his/her/their current and former employers. View the definitions of misconduct and processes Harvard will use. Harvard University is committed to equal opportunity
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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independent decision making at all levels of bioinformatic processing and statistical analysis of the data, as well as examining, evaluating, and recommending analytical approaches to collaborating labs. In
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technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell
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lab members across a range of projects. Research in the lab spans bacterial massively parallel perturbation assays through stem cell biology, and the Research Assistant will have the opportunity
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across Human Tissues (SMaHT) Data Analysis Center. The Park Lab is a bioinformatics research group in the Department of Biomedical Informatics at Harvard Medical School. Our main aim is to understand
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motivated and creative Postdoctoral Scientist to join our dynamic, cross-disciplinary team. This role focuses on understanding how the somatosensory system has evolved to detect, process, and relay
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. The individual will also perform bioinformatic analyses of large-scale genomic and transcriptomic datasets, including processing, cleaning, organizing, and managing biological data using R and Python; conducting