
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.
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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.
• Act as a partner & advisor to internal teams and customers to solve complex business needs using Dotmatics SaaS products. • Work closely with customers to understand their needs, analyse their data environment, and design and implement solutions. • Ensure that solutions are functionally correct, scientifically sound, and aligned to the customer's laboratory workflows and data requirements. • Lead the technical/scientific delivery of strategic projects with customers. • Present the benefits of Dotmatics software and explain the technical/scientific value to prospective clients. • Provide oversight and governance on projects where there are parallel activities. • Evaluate user requirements, provide estimates, solution design, and train Customers on how to use Dotmatics configured solutions. • Communicate and collaborate among cross-functional teams in a multinational environment.
• 10 years + experience in deploying SaaS solutions into the Life science industry/end user environments. • Ideally you will hold a PhD or comparable working experience in Chemistry, Biology, Data Science, Bioinformatics or similar scientific/technical field. • Expert experience in consulting customers (typical within the Scientific/Life Science community), with proven experience of SaaS Solution implementations. • Experience as being the technical lead within partner-led delivery engagements, working alongside Stakeholders, Project Managers and Solutions Architects to ensure quality and progress across complex implementations, providing structured feedback directly throughout. • Data integration: Planning, coordinating, and leading teams with the integration of data from various source. • The ability to clearly document complex key business requirements. • Acting as a consultant to customers, with proven experience of SaaS Solution implementations into complex scientific environments, such as Big Pharma/ large laboratory environments. • Advanced knowledge of building and deploying APIs, frameworks, and event-driven integration patterns, with experience in data ingestion and transformation tooling such as Apache NiFi. • In depth expertise in Oracle (SQL), SQL databases, and cloud native technologies including AWS. • Strong ability to leverage data first architectures utilising Databricks (incorporating Databricks SQL Warehouse), Snowflake, Sigma, and data warehouse/lake technologies. • Working knowledge of lab informatics software including ELN, LIMS, SDMS and instrument data systems, file transformations (CSV, XML, XLS, XLSX, XSL), and strong configuration management understanding. • Ability to identify and communicate performance, scalability, and data quality risks within implemented solutions. • Strong ability to focus on a data first architecture and data scientist technology (Databricks, Snowflake) and data warehouse/lake technologies. • Programming or scripting language working with scientific data (including, but not limited to Python, JavaScript or other equivalent). • Delivering high quality presentations and training, including the ability to present systems diagramming, UML (Universal mark up language) and ERD (Entity relationship diagrams). • The ability to adjust communication style to speak to the audience with the ability to translate Scientific & Technical language in to layman’s terms.
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