Senior Data Analyst

At Automata
, we’re on a mission to transform how scientists work by making automation accessible to every lab in the world. We believe that by giving labs the power to automate, we can unlock discoveries that will shape the future of life sciences from diagnostics and drug discovery to synthetic biology. But we’re more than just a company disrupting the industry; we’re a team of innovators, problem-solvers, and creators passionate about empowering scientists.

Our LINQ platform combines hardware and software to streamline workflows, making lab automation fast, flexible, and affordable. This means our customers can focus on groundbreaking research while we take care of the rest.

• Impact:
  Your work will directly contribute to advancements in science and medicine, supporting labs around the globe as they push boundaries in research and innovation.
• Innovation:
  You’ll be part of a team solving complex problems (seriously, no one else has figured out how to do this yet), using cutting‑edge technology (we have robots).
• Growth:
  We invest in our people. Whether through hands‑on experience, professional development, or collaborative projects, you’ll grow both professionally and personally.
• Community:
  Join a diverse, passionate team that values collaboration – golf on a Thursday, Soccer once a month, movie nights whenever we fancy.

We’re looking for an AI/Automation Operations Manager to design, build, and own internal automations and AI‑powered workflows across the company.

• Business operations
• Workflow automation
• APIs and internal tooling
• Practical AI use cases

You will work closely with teams across Automata to identify repetitive or manual processes, then turn them into reliable, automated workflows or added tooling that scales with the company. This is a hands‑on role for someone who enjoys proactive building and leading projects and who wants to see their work used daily by colleagues across the business.

• Partner with teams across the business to map current workflows and identify inefficiencies, bottlenecks, and failure points.
• Quantify the impact of automation opportunities (time saved, error reduction, cycle time).
• Maintain a prioritised internal automation roadmap aligned with company goals.

• Design and implement end‑to‑end automations using workflow automation tools (e.g. Zapier, Make, n8n, Workato, Retool, or similar), APIs and webhooks to integrate SaaS tools and internal systems, and light scripting where necessary.
• Ensure automations have a clear ROI, and are reliable, well‑documented, and easy to maintain & iterate on.

• Identify and implement practical AI use cases.
• Work with stakeholders to define human‑in‑the‑loop requirements, guardrails and ongoing monitoring of outputs.

• Build lightweight internal tools to support workflows (often using low‑code platforms).
• Carry out tooling research and lead the implementation of appropriate external tooling (e.g., ERP system).
• Enable teams to use automations effectively through clear documentation, training and feedback loops for improvement.

• Own the operational health of internal automations and created tooling.
• Partner with Data and Engineering teams to ensure data integrity and scalability as the company grows.

• Hands‑on experience building workflow automation.
• Strong understanding of APIs.
• Comfortable writing light‑to‑moderate code (SQL, Python).
• Experience integrating common SaaS tools (e.g., Asana, Salesforce).
• Practical experience using AI APIs in real workflows.

• Strong ability to translate messy, real‑world processes into clean system flows.
• Good prioritisation, knows what not to automate.
• Bias toward shipping, iterating, and improving.
• Comfortable operating with ambiguity.

• Excellent communication with both technical and non‑technical stakeholders.
• Collaborative and pragmatic approach.
• Clear documentation habits.
• Comfortable building new processes from scratch.