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Scientific Product Solutions Lead
DotmaticsScientific Product Solutions Lead working on AI-powered data management and workflow automation for scientific discovery at Dotmatics. Collaborating with cross-functional teams to enhance scientific productivity.
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Collaborate with Product to determine application structure, define entity/data models, specify task workflows (Scientific Workflows), and define desired data visualization experiences
- Create registration entities, data flows, task templates, data visualization experiences, and other configurations in support of developing Luma Solutions
- Perform in-team testing of configuration and assist in handing test cases to the QA group for release testing. Troubleshoot configuration to understand why it is not producing desired results.
- Write draft documentation of configuration and workflows and collaborate with the Documentation team to develop final customer-facing documentation
- Train members of other Dotmatics teams and early customers on how to use Luma Solutions configuration and the workflows it supports
- Use new product features in Luma Solutions and provide feedback on the experience, participate in user experience testing, and provide input to the Product team about features that will enable the best Solutions
- Actively participate in the development of best practices for Luma configuration, and ensure these best practices are followed in the development of Luma Solutions
Requirements
What you’ll need- 10+ years of hands-on experience building and delivering informatics solutions for Life Sciences customers
- Bachelor's or advanced degree in Life Sciences, Data Science, Chemistry, Biology, Bioinformatics, or a related technical discipline
- Life Science Industry experience, either as a Scientific Solution Architect, technical application Scientist or a Scientist involved with designing products or technical applications
- Advanced expertise in data modeling, with a proven ability to design robust, scalable data structures
- Expert-level proficiency in configuring low-code platforms and designing end-to-end workflows
- Demonstrated success delivering scientific data platforms or tools spanning data modeling, ETL, APIs, and BI/reporting
- Expert-level SQL skills, with strong working knowledge of Python and JSON
- Deep experience integrating tools and modules to architect complete, cohesive solutions
- Strong analytical ability to translate product requirements into precise technical configuration designs
- Excellent communication skills — able to distill complex technical concepts for both technical and non-technical audiences at all levels
- Experience running and/or supporting scientific workflows in a production or research environment
Benefits
Comp & perks- Medical, Dental, Vision, Insurance
- Health Spending Accounts
- Wellness Benefits (Mental Health Apps and Fitness Perks)
- Company-paid Life and Disability Insurance
- 401k Retirement Plan (with 4% company match; immediate vesting)
- Flexible Time off Plan (for US exempt employees)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modelinglow-code platformsend-to-end workflowsSQLPythonJSONETLAPIsBI/reportingscientific workflows
Soft Skills
analytical abilitycommunication skillscollaborationtrainingtroubleshootingdocumentationfeedbackbest practices