RSE: Image Analysis & Microscopy for AI-Driven Discovery

The Johns Hopkins University

Baltimore (MD)

Hybrid

USD 110,000 - 170,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work

Job summary

The Johns Hopkins University’s Data Science and AI Institute (DSAI) seeks a Research Software Engineer – Image Analysis & Microscopy. You will design and implement software for AI and data science applications, collaborating with faculty and researchers on projects from consulting to multi-year initiatives.

Strong Python/C++ skills, AI/ML experience, and data pipeline expertise are essential. Hybrid work at Mount Washington Campus, with opportunities to co-author publications and contribute to

Qualifications

  • Master's in a quantitative field with strong computing background.
  • 3+ years of software development experience on large projects.
  • Experience in AI/ML model development, training, and application to scientific data.
  • Experience with data science pipelines, ETL, and big data processing at scale.
  • Ability to co-author scientific publications and communicate complex software concepts.

Responsibilities

  • Collaborate with RSEs and scientists to deliver AI software solutions.
  • Develop software architectures and data pipelines for AI/ML workflows.
  • Analyze large datasets on cloud or on-premises and design scalable solutions.
  • Create data models and software components with robust, portable design.
  • Contribute to open-source-style code and documentation; co-author publications if applicable.
  • Provide guidance, deliver talks, and participate in short courses as needed.

Skills

Python
C++
Docker
Singularity
REST APIs
SQL
Linux
Git
CI/CD
CUDA

Education

Master's in CS/Engineering/Physics/Bioinformatics

Tools

Docker
Singularity
CUDA
PyTorch
TensorFlow
CI/CD
Git

Job description

The Johns Hopkins University’s Data Science and AI Institute (DSAI) seeks a Research Software Engineer – Image Analysis & Microscopy. You will design and implement software for AI and data science applications, collaborating with faculty and researchers on projects from consulting to multi-year initiatives.

Strong Python/C++ skills, AI/ML experience, and data pipeline expertise are essential. Hybrid work at Mount Washington Campus, with opportunities to co-author publications and contribute to

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