Systems Analyst/Bioimage Data Engineer

Are you a scientist with skills in bioimage analysis and data engineering, who is looking for a nontraditional research career? Are you excited by the opportunity to provide computational resources and support to world-class faculty, who perform leading-edge research in the fields of human genomics and mouse genetics? Come join us in Research IT at The Jackson Laboratory (http://www.jax.org), an independent, nonprofit biomedical research institution internationally recognized for its research excellence. At JAX, our Information Technology is as exciting and progressive as our cutting-edge science. In Research IT, you will help to plan, design, and launch efficient systems for bioimage analysis and data management in support of scientific research.

The ideal candidate will have a deep understanding of scientific image data management and processing. Preference will be given to candidates with hands-on experience in High-Performance Computing (HPC) environments, laboratory information systems, and working collaboratively with researchers and Information Technology.

This job allows for remote work from anywhere in the USA.

Responsibilities

Based on the scientific needs of faculty and research staff, identify and recommend innovative solutions and integrated proposals for server, storage, and network systems, including hardware and software acquisition, installation, and administration.
Research and evaluate new tools for applicability to in-house needs. Stay current with new trends and emerging information technologies and informatics tools; advocate for and lead the adoption of these technologies at JAX.
Develop appropriate computational strategies to acquire, store, process, and analyze imaging data.
Develop and deliver training programs, tutorials, and workshops for scientists on the optimal use of IT resources in their imaging data needs.
Install and update scientific applications in the Research IT environment, including but not limited to relevant HPC clusters.
Investigate application issues and document findings. Communicate with scientists to answer questions and troubleshoot problems; provide guidance, support, and advice on Research IT systems.
Provide technical support internally and to external vendors, including problem resolution for complex systems and storage solutions.
Benchmark application and workflow performance and determine areas for improved efficiencies.
Assist in preparation for submitting grant proposals.

Qualifications

Level I

Master's degree with a minimum of three (3) years of experience, or a Ph.D. with zero (0) to two (2) years of experience, in a relevant area of data analysis or management is required
Level II

Master’s degree with a minimum of five (5) years of experience, or Ph.D. with a minimum of three (3) years of experience, in a relevant area of data analysis or management is required
All Levels

A background in biology and/or familiarity with microscopy data is preferred.
Proficient in tool-agnostic image processing and general-purpose programming
Experience with OMERO and/or other applications for managing large multidimensional arrays (e.g., Zarr, N5, HDF5)
Familiar with Cloud computing, Machine Learning, and Artificial Intelligence.
Experience with engaging with scientists and open-source communities and operating in a highly interdisciplinary environment
Experience with Scikit-image, ImageJ/Fiji, CellProfiler, QuPath, OpenCV or other relevant image analysis tools is preferred.
Experience with software development best practices (e.g., git, CI/CD, documentation) is preferred.
Experience with medical imaging (e.g., DICOM, MRI, CT), remote sensing, or satellite imaging is not necessary but will be considered a strength

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About JAX:

The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,400 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center in Augusta, Maine, a genomic medicine institute in Farmington, Connecticut, and facilities in Ellsworth, Maine, Sacramento, California, and Shanghai, China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients’ lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 “Best Places to Work in Academia” in the United States in a poll conducted by The Scientist magazine!