Scientific Product Solutions Lead

🔥 36 minutes ago

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Dotmatics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🧬 Biotechnology

🔬 Science

⚕️ Healthcare Insurance

Biotechnology • Science • Healthcare Insurance

Dotmatics is an AI-powered scientific intelligence platform that specializes in data management and workflow automation specifically for multimodal scientific discovery. It facilitates adaptive lab workflows, enhances collaboration across various scientific disciplines, and integrates advanced predictive analytics to accelerate research and development. With a suite of products, including solutions for bioinformatics, cheminformatics, and flow cytometry, Dotmatics supports researchers in making informed decisions, streamlining operations, and driving innovation in drug discovery and materials science.

📋 Description

• Collaborate with Product to determine application structure, define entity/data models, specify task 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 is handing test cases to the QA group for release testing • Write draft documentation of configuration and workflows and collaborate with the Documentation team • 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 • Actively participate in the development of best practices for Luma configuration and ensure these best practices are followed

🎯 Requirements

• 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 • Advanced expertise in data modeling • 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

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development