The Role
Analyze data using SQL, Python, and statistical methods; create visualizations and reports; automate analysis processes; collaborate with engineering and cross-functional teams; and apply tools such as NumPy, pandas, scikit-learn, and potentially Spark to digital pathology data.
Summary Generated by Built In
About Evident Digital Pathology
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.
Skills Required:
- Hands on experience with SQL queries (fluent in SQL concepts)
- Hands on experience in performing data analysis - descriptive, diagnostic, predictive statistics (fluent in these concepts)
- Fluent in data visualisation, plus point if created any new custom visualisation.
- Understanding of data analysis programming like use of python libraries - numpy, scikit-learn, pandas.
- Plus if hands on experience on spark framework or any other distributed data analytics framework.
- Candidate should have great intent towards automating data analysis process.
- Good critical thinking and communication skill.
- Very comfortable in creating reports and collaborate with other people.
Skills Required
- Hands-on experience with SQL queries and fluency in SQL concepts
- Hands-on experience performing descriptive, diagnostic, and predictive statistical analysis
- Fluency in data visualization
- Understanding of data analysis programming using Python libraries such as NumPy, scikit-learn, and pandas
- Interest in automating data analysis processes
- Strong critical thinking and communication skills
- Comfort creating reports and collaborating with others
- Hands-on experience with Spark or another distributed data analytics framework
- Experience creating custom visualizations
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The Company
