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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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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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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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, 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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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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, 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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, nanoparticle arrays, and electrochemical catalyst systems, ensuring reproducible and contamination-free data. Link real-time TEM data streams to digital twin and AI platforms, using cloud-based computation
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays