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of liquid handling robots, mass spectrometry-based proteomics, NGS, bioinformatics using Python or R. Additional Information Appointment End Date: This is a one year term position with the possibility
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are
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are seeking a highly motivated Bioinformaticist with knowledge in computational image analysis and proficiency in Python. In this position, you will be supervised by our image analysis expert and will work
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. Programming: Strong scripting skills, typically in Python or Go, for automation and building operational tools. MLOps Tools: Familiarity with MLOps platforms and tools (e.g., MLflow, Kubeflow, Data Version
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the number of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes
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contexts. Basic Qualifications Ph.D. in areas such as statistics, biostatistics, computer science, economics, or a related quantitative field Strong skills in R and/or Python and experience analyzing complex
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, or Python); Creating and managing very large datasets; Managing and mentoring research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling
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initiatives. Provide after-hours support as needed to maintain system availability and business continuity. Abide by and follow the Harvard University IT Code of Conduct (https://huit.harvard.edu/it
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complete complex data processing and analyses on this large and complex dataset. The ideal candidate has strong expertise in Python and is comfortable working with ambiguous, big and messy data streams
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technical discipline desired Minimum of five years’ software development experience with Python and SQL. Minimum of three years’ experience building pipelines to deploy NLP and deep learning models