Evident Scientific, formerly part of Olympus Corporation, is a global leader in life-science microscopy and optical instrumentation. Following the recent acquisition of Pramana, a pioneer in Autonomous Digital Imaging, Evident has combined its world-class optical heritage with Pramana's software, robotics, and AI innovation to define the future of Digital Pathology.
Our young, high-performing engineering team has already taken the industry to its next node in autonomy--building the world's most advanced whole-slide imaging platform, deployed at the Mayo Clinic to create the world's largest digital pathology archive. Today, this technology is trusted by more than 30 top-tier medical institutions across the U.S. and Europe, powering Clinical workflows directly aiding in patient care.
As part of Evident, this team is now advancing to the next level of autonomy--moving from autonomous imaging to intelligent imaging, where scanners, data systems, and user interfaces are self-aware, adaptive, and capable of real-time AI inference at the edge.
Your responsibilities as an Engineer:
Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
Prepares and installs solutions by determining and designing system specifications, standards, and programming.
Improves operations by conducting systems analysis; recommending changes in policies and procedures.
Obtains and licenses software by obtaining required information from vendors; recommending purchases; testing and approving products.
Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment
Participate in educational opportunities & read professional publications;
Protects operations by keeping information confidential.
Provides information by collecting, analyzing, and summarizing development and service issues.
Accomplishes engineering and organization mission by completing related results as needed.
Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle.
Skill sets we require:
Hands-on experience in software development using
Python
Experience designing interactive applications
Excellent knowledge of non-relational databases, MongoDB
Experience with test-driven development
Proficiency in software engineering tools
Ability to document requirements and specifications
Experience & Pedigree:
* Bachelor's/Master's degree in Computer Science Engineering or equivalent
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