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fields Some experience with basic laboratory techniques Some familiarity with data analysis, and a programming language such as R, Python, or experience in Matlab or Mathematica EDUCATION & EXPERIENCE
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working with large healthcare datasets (EHRs, claims, registries). Proficiency in R or Python. Strong quantitative skills and familiarity with advanced modeling techniques. Excellent written and verbal
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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, electrical engineering, experimental physics, or a related field Strong programming and signal processing skills, with experience in Python and/or MATLAB Demonstrated ability to work independently and
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learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written
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perform other duties as assigned. DESIRED QUALIFICATIONS: 3+ years of experience in developing and maintaining production-grade codebases Strong programming skills in Python and system-level languages (e.g
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frontend and backend systems Advanced programming skills in Python and React, with experience architecting systems that integrate and deploy LLMs Proven expertise in prompt-engineering and fine-tuning LLMs
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Substantial experience with Python Substantial experience with R The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be
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, firewall, VPN), Storage experience and expertise (i.e. distributed file systems, NFS, quotas, backups) Scripting automation (i.e. Ansible, Python, Bash) Container technologies (i.e. Docker, Singularity
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to support the conduct of study analyses. Proficiency in statistical languages such as Python, R, SAS, SPSS, STATA. Proficiency in qualitative methodology such as grounded theory, phenomenology, ethnography