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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are seeking a computational biologist, biostatistician or bioinformatician with
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candidates who bring experience with one of the following: Programming and Data Handling: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong
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(GDAL, Rasterio), and cloud geospatial platforms (e.g., Google Earth Engine). Proficiency in programming languages such as Python and R. Posting Detail Information Salary Range $41,000 - $98,160 Job
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dynamics programs, such as Molecular Operating Environment and/or Schrodinger or structure prediction programs such as AlphaFold or ESMFold, is preferred. Familiarity with running software in cloud computing
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with cloud computing Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students joining the group as described above
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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, toxicology, or pharmacology Understanding of biological pathways and their relationship to disease mechanisms or drug response Experience with cloud computing environments and large-scale data processing
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, or fragmentomics Experience with cloud computing At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels
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ecosystem, the Fellow will help connect real-time TEM data to cloud-based digital twins and the broader AI framework controlling synthesis and electrochemical testing, creating a closed experimental