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Dotmatics

Cloud-based R&D informatics for life sciences

Director – Market Growth Strategy - Molecule to Market, Lab Automation

Product MarketingConfirmed live in the last 24 hours
Full-timeRemote in UK£128.8k - £174.3k

About the Job

Requirements

  • At least 15 years of experience in life sciences, lab automation, or scientific technology, including hands-on experience in a pharma, biotech, CDMO, research institute, or automation vendor setting.
  • Strong analytical skills, including market sizing and business case development.
  • Excellent writing and presentation skills.
  • Deep understanding of day-to-day automated lab operations, including liquid handling, robotics, instrument integration, workflow scheduling, and related data flows.
  • Knowledge of how automation leaders make decisions, balance speed, cost, and flexibility, and work with scientists, IT, and engineering teams.
  • Experience in product marketing, market strategy, product management, or commercial roles at a software, automation, informatics, or life sciences solutions company.
  • Familiarity with scheduling and orchestration software, LIMS, ELN, or lab data platforms.
  • A track record of driving software adoption or turning new technology such as AI into customer-adopted use cases.
  • Ability to turn complex science and technology into clear, simple messaging.
  • Comfort working with senior leaders, industry experts, and customers.
  • Ability to work across a large, global, matrixed organization and build trust with teams in different regions and business units.
  • Right to work in the UK.

Responsibilities

  • Own the market strategy for Luma in lab automation, including workflow orchestration, scheduling, instrument integration, data capture, and autonomous lab concepts.
  • Define target segments, buyer personas, and priority accounts, including Heads of Lab Automation, Automation Engineers, Discovery Technologies, Research IT, Core Facilities, and Operations leaders.
  • Build positioning and messaging for automation engineers, scientists, IT leaders, and executives.
  • Drive software adoption by working with customers and field teams to identify workflows where Luma delivers value quickly and capture what works so others can repeat it.
  • Define and prove AI use cases for lab automation, including closed-loop experimentation, smarter scheduling, and data prepared for tools such as NVIDIA BioNeMo.
  • Translate automation pain points into clear value, including reduced integration work, faster workflow changes, better instrument use, trusted data, and a path from automation islands to connected labs.
  • Partner with the Siemens Solution Marketing team to build content, campaigns, and events for the lab automation market.
  • Work with industry thought leaders, analysts, and partners to build credibility and bring outside perspectives into the company’s story.
  • Create the competitive view against informatics vendors, scheduling and orchestration tools, automation vendors, and in-house builds.
  • Develop the business case, pricing inputs, and value story with Finance and Sales.
  • Equip global teams with talk tracks, battlecards, demo narratives, and customer proof points.
  • Partner with DISW and DI Automation teams to align messaging, joint offers, and customer conversations.
  • Partner with Product on roadmap priorities based on feedback from automation teams.
  • Connect lab automation to the broader Molecule to Market narrative, including ELN, Biologics, and Tech Transfer.
  • Support strategic pursuits and executive conversations with customers and partners.
  • Track market trends, including autonomous labs, AI-driven discovery, robotics, and data standards, and turn them into action.
  • Meet automation leaders, scientists, and engineers; join pursuits; and bring customer feedback back to the business.
  • Size market segments, track competitors and automation vendors, and identify emerging trends.
  • Partner on sales enablement, solution marketing, and thought leadership to support adoption and AI use cases.
  • Work with instrument makers, robotics providers, and integrators to clarify the joint customer proposition.
  • Align across Siemens DISW and DI Automation teams so the company presents a consistent story to the lab automation market.

Desired Qualifications

  • A degree in life sciences, engineering, robotics, or a related field is ideal; a master's or PhD is a plus.
  • Experience running or supporting a lab automation team or an automated lab build.
  • Knowledge of industrial automation concepts and their application to laboratories.
  • Familiarity with lab data standards and open interfaces.
  • Experience with AI, machine learning, or data platforms in a scientific setting.
  • Existing relationships with industry thought leaders, analysts, automation vendors, or research institutes.
  • Experience working across the UK and European life sciences community.

About the Company

Dotmatics

Cloud-based R&D informatics for life sciences

Dotmatics provides a cloud-based R&D software platform for life sciences, chemistry, biology, and materials research that helps researchers capture, analyze, visualize, and share experimental data. Its suite combines data management, workflow automation, and analytics, with tools like Luma for low-code multimodal drug discovery and applications such as GraphPad Prism, SnapGene, and Geneious. The platform harmonizes diverse scientific data in a single environment to improve collaboration, reduce manual work, and speed up discovery, used by millions of scientists across thousands of organizations. In 2025, Dotmatics was acquired by Siemens and integrated into Siemens Digital Industries Software, expanding Siemens' AI-driven product lifecycle capabilities into life sciences.

Company size
501-1,000
Company stage
Acquired
Total funding
$106M
Headquarters
Boston, MA
Founded
2005

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