Our Why At Dotmatics

At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.

We have a vision for a new Lab of the Future that will change the future of scientific research.

We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.

Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.

Shaping the Future of Science At Dotmatics

Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.

You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.

We are Science Driven. We are Customer Centric. We are Better Together.

What do we need

We are looking for an experienced market leader, thought leader and SME in Biologics

Biologics research is where molecular therapeutic discovery begins. Scientists are discovering and engineering proteins, antibodies, bispecifics, and other large molecule formats, then deciding which candidates are worth taking forward. They run huge numbers of experiments across assays, instruments, and teams. The data is rich but often not well organized, and the best candidates can get lost in the noise. Good decisions here shape everything that comes after.

We’re building Luma, a Scientific Intelligence Platform for life sciences and materials science. Biologics research is a core part of our Molecule to Market story. We need someone to own the market strategy for it.

This is a customer and market facing role. You’ll spend real time with biologics research leaders at pharma, biotech, and academic and government institutes, hearing what they need and bringing it back to the business. You’ll also support teams around the world across Siemens, including sales, product, services, customer success, and the Siemens Solution Marketing team, so everyone can speak to this market with confidence and one consistent story. Your job is to drive software adoption and AI use cases in biologics research. You will shape where we play, who we sell to, how we position, and how we win.

How you’ll spend your time

Customer engagements: meeting research leaders and scientists, joining pursuits, and bringing what you hear back to the business
Market analysis: sizing segments, tracking competitors, and spotting trends early
Sales enablement: giving teams across regions the talk tracks, battlecards, demo narratives, and proof points to win
Solution marketing: partnering with the Siemens Solution Marketing team on content, campaigns, events, and messaging for the biologics research audience
Thought leadership: working with industry thought leaders, inside and outside Siemens, to shape the conversation on AI driven discovery and the future of the research lab
Adoption and AI use cases: identifying, proving, and spreading the use cases that get scientists using Luma and putting AI to work on their data