Scitara Careers

ROLE TITLE: Solutions Architect, Delivery (Europe)
DEPARTMENT: Customer Success
LOCATION: Ireland — remote, with regular travel to customer sites across Europe
REPORTS TO: Solutions Architect Team Lead, Customer Success
TRAVEL: Variable, as customer needs dictate
EXPERIENCE: 6+ years in laboratory informatics architecture and connectivity
EDUCATION: Bachelor’s or Master’s degree (Computer Science, Life Sciences or a related discipline)

The Role

Scitara is hiring a Senior Solutions Architect, Delivery to implement and validate the Scitara DLX platform for pharmaceutical and life sciences customers across Europe. The role will be based in Ireland and is primarily an onsite service delivery role, estimated at 75% of the work, with the remainder engaging in pre-sales solution consulting across the region. The balance will shift with customer demand, so candidates should be comfortable moving between the two. You will work as part of Scitara’s global team of solutions architects and delivery specialists, with Europe as your primary focus.

Why Scitara

Scitara DLX connects laboratory instruments, applications, data, and people. We work at the forefront of lab connectivity and AI-driven automation in pharma and life sciences, alongside people who have spent their careers in laboratories and in the systems that serve them. The work contributes directly to how global organizations run R&D and QC.

What you will do

1. Implementation and validation delivery

Deliver Scitara DLX implementations and validations for European pharma and life sciences customers, from discovery through configuration, testing, validation and handover. Ensure delivery meets GxP expectations including EU GMP Annex 11 and Annex 15, 21 CFR Part 11, ALCOA+ and GAMP 5. Work closely with Scitara’s global delivery team, sharing patterns and standards across regions.

2. Technical architecture and solution design

Design the technical architecture for instrument and system connectivity on your engagements, producing solutions that are scalable, compliant and supportable. Translate customer needs into clear technical requirements. Contribute to reusable integration patterns and drive configuration-led reuse across equivalent instruments, laboratories and sites rather than one-off builds.

3. Customer engagement and consulting

Conduct discovery workshops, identify and quantify the business problem, and agree on success criteria with the customer. Give value-oriented technical recommendations and challenge unnecessary customization where a standard approach will serve better. Provide technical continuity from discovery through deployment and Hypercare, surfacing cross-team and cross-vendor dependencies before they block delivery.

4. Pre-sales solution support

Support European sales engagements as part of the solutions architecture team: discovery calls, requirements capture, product demonstrations and technical responses to RFIs and RFPs. Deliver demonstrations of Scitara’s integration, automation and AI agent capabilities, mapping each to a specific customer pain point rather than presenting features. Review Statements of Work and estimates so that what is committed is technically achievable. Provide field input back to Product Management and Engineering.

Collaboration and knowledge sharing

Contribute to technical documentation, internal playbooks, and customer-facing collateral. Share what you learn in the field with colleagues across regions and draw on their experience in return. As the European business grows and the team expands, there will be opportunity to take on a broader role in shaping regional presales and solution delivery.

This role is

• Hands-on delivery of DLX implementations, from discovery through validation
• Customer-facing and on site across Europe
• A collaborative role within a global team of solutions architects and delivery specialists
• A balance of technical depth and business alignment

This role is not

• A full-time pre-sales or demonstration role — you stay accountable through customer go live.
• A functional LIMS/ELN configuration or ticket-resolution role
• A CSV-only role, though you need a solid working command of CSV and CSA
• An order-taking role — you translate customer needs into sound technical requirements
• A people-management role today

What you bring

Must have

• 6+ years in pharmaceutical or life sciences laboratory informatics, with strong technical architecture skills — designing how instruments, LIMS, ELN, LES, CDS and enterprise systems connect
• Technical configuration of LIMS or ELN for instrument connectivity: interfaces, instrument data capture, parsing and mapping, and data flows between instruments and systems
• Enterprise integration: REST APIs, JSON and XML, file-based interfaces, data mapping, error handling and retry
• Customer-facing consultative experience: leading discovery, translating needs into technical requirements, and influencing stakeholders through evidence and clear storytelling
• Well versed in GxP, including EU GMP Annex 11 and Annex 15, 21 CFR Part 11, ALCOA+ and GAMP 5, with a working command of CSV (validation planning, risk-based testing, traceability)
• Strong pharma and life sciences domain knowledge, including QC and R&D laboratory processes and regulatory expectations
• Working knowledge of laboratory instruments and their software, such as Empower, Chromeleon, SoftMax Pro, Tecan Magellan, UNICORN/ÄKTA and LabX, along with controlled instruments such as pH meters and balances
• Experience working in or leading Agile delivery teams
• Bachelor’s or Master’s degree in Computer Science, Life Sciences or a related field
• Fluent English
• Willingness to travel to customer sites within Europe, becoming a trusted advisor
• Existing right to work in Ireland

Good to have — Technical

• Scripting in JavaScript and/or Python
• Data platforms (databases, data lakes) and cloud infrastructure, particularly AWS; certifications welcome
• Data standards such as ASM and AnIML
• Event-driven integration, monitoring tools, deployment frameworks or infrastructure automation
• Computer Software Assurance (CSA) alongside CSV

Good to have — AI

• Practical familiarity with generative AI and LLMs, agentic AI, prompt and context engineering, RAG and AI-assisted development
• Evidence of self-directed AI learning: courses, prototypes or automations you have built yourself

Good to have — Background

• A prior role as a bench scientist, applications scientist, laboratory informatics specialist or laboratory manager
• Experience across multiple systems, vendors, laboratories or sites
• Experience contributing to Proof-of-Value or pilot engagements
• Experience in an EU GMP-regulated manufacturing or QC environment
• A second European language
• Experience working with a CRM system such as Salesforce or HubSpot

How you work

• Ownership. You stay accountable for your delivery commitments and drive issues to closure.
• Customer-centric. Consultative by instinct; you find the real problem before proposing a solution.
• Constructive challenge. You push back professionally when the evidence or the customer’s outcome requires it.
• Influence without authority. You mobilize teams and vendors across organizational boundaries.
• Clear communication. You explain complex technical concepts with conviction, in a laboratory, and also in an executive discussion.
• Commercial awareness. You understand how technical choices affect effort, risk, and total cost of ownership.
• Curiosity. You experiment with new technology, particularly AI, on your own initiative.

Practical Details

This position is based in Ireland and requires travel to customer sites across Europe. Applicants must already hold the right to work in Ireland; Scitara is not sponsoring work permits for this role.

Please email your resume to careers@scitara.com

Role Title: Platform Engineer (Mid / Senior / Lead)
Department: Product Engineering
Location: Mumbai / Pune (Onsite)
Reports To: Engineering Manager
Experience: 5+ years, hiring across levels. Level is set by what you can own end to end, not by years on a resume.
Employment Type: Full-time

About Scitara

Scitara is a global leader in digital transformation for scientific laboratories, enabling connectivity, automation, and data integrity across instruments, applications, and enterprise systems. Our cloud-based DLX platform is used by the world’s top pharma, biotech, life sciences, and industrial R&D labs to modernize workflows and accelerate scientific outcomes.

Lab informatics is growing 50 to 70% over the next five years, at the exact moment AI is being layered onto scientific data workflows. The software you build here decides how labs around the world adopt that wave.

Role Summary

The DLX platform is a cloud-native, event-driven system of microservices that moves scientific data between instruments, lab applications, and enterprise systems, and increasingly runs AI agents over that data. It has a web UI, but most of the engineering is not web work: it is data processing, orchestration, integration, and backend connectivity in a distributed system.

As a Platform Engineer you own features across that whole surface. One week that is a new orchestration capability in a NestJS service talking gRPC and Kafka; the next it is the React screens that expose it; the next it is an agent that acts on the data. You are a generalist by design, and you may bring a specialty on top of that.

How Engineering Works Here

We are a small team with a large product. That shapes everything:

• You deliver features, not tickets. You get a goal and the context behind it. You work out the plan, the design, the tests, and the rollout. Nobody hands you a task list.
• AI is part of the job. We use agentic coding tools every day to design, generate, test, and document. You are expected to work this way and to be a sharp reviewer of what the tools produce. You own the result, not the tool.
• We are regulated. Our customers run validated GxP environments. Data integrity, traceability, and auditability are design constraints, not a checklist at the end.
• Thinkers and doers. The people who do well here notice problems, propose fixes, get them wrong sometimes, and get them right the next time. They bring ideas back to the team instead of waiting to be told.

Key Outcomes (First 6 to 12 Months)

• Ship complete features into production: service, contract, data model, UI where needed, tests, documentation.
• Take a feature from a one-paragraph goal to a working plan and design without waiting for a task breakdown.
• Raise the quality of the services you touch: contracts, observability, test coverage, performance.
• Build or extend AI agent capabilities on the platform.
• Contribute to how the team uses agentic tooling: prompts, skills, review practices, automation.
• Senior / Lead: own the design of a platform capability end to end and set the bar for the engineers around you.

Responsibilities

• Design and build platform features across NestJS/Node.js microservices, gRPC contracts, Kafka event flows, MongoDB data models, and React UI.
• Build and integrate AI and agentic capabilities into the platform.
• Write code that meets the platform’s data integrity and validation requirements.
• Use agentic development tools as the default way of working, and review their output critically.
• Participate in design reviews, code reviews, and Agile ceremonies as a contributor, not an attendee.
• Troubleshoot production and integration issues across service boundaries.
• Senior / Lead: lead technical spikes and architecture decisions; mentor and raise engineering standards.

Must-Have

• Strong TypeScript/Node.js and working React.
• You have built something beyond request/response web APIs: event-driven services, message queues, background processing, distributed data flows. If all you have shipped is Express CRUD, this role will be a hard adjustment.
• Daily, hands-on use of AI coding tools, and the judgement to know when they are wrong.
• A track record of delivering features you were given as goals, not as task lists.
• Solid engineering fundamentals: design, testing, debugging, reading unfamiliar code.
• Git and CI/CD in a team setting.

Good-to-Have

• Our stack specifically: NestJS, gRPC, CQRS, Kafka, MongoDB, Keycloak, AWS. This is a large plus.
• Building AI agents, working with MCP servers, or integrating LLMs into products.
• Regulated software: GxP, GAMP 5, 21 CFR Part 11, data integrity.
• Lab informatics or scientific software: LIMS, ELN, CDS, instrument data.
• Docker, Kubernetes, cloud-native operations.

Success Indicators

• Features reach production without needing the plan written for you.
• The services you touch are better than you found them.
• Your use of AI tooling makes you faster and your work more thorough, and your peers pick up what you learn.
• Colleagues in product, quality, and the connectors team trust your judgement.
• Senior / Lead: platform decisions get made well when the architect is not in the room.

Why Join Scitara?

• A global team of engineers, scientists, and customers.
• Build the system that moves scientific data for the labs developing the next generation of therapies.
• Work in an engineering culture where AI-native development is the default, not an experiment.
• Real ownership: features, designs, and decisions are yours.
• Clear paths into technical leadership and architecture.

Please email your resume to careers@scitara.com

Role Title: Connectors Engineer (Mid / Senior / Lead)
Department: Product Engineering
Location: Mumbai / Pune (Onsite)
Reports To: Engineering Manager
Experience: 5+ years, hiring across levels. Level is set by what you can own end to end, not by years on a resume.
Employment Type: Full-time

About Scitara

Scitara is a global leader in digital transformation for scientific laboratories, enabling connectivity, automation, and data integrity across instruments, applications, and enterprise systems. Our cloud-based DLX platform is used by the world’s top pharma, biotech, life sciences, and industrial R&D labs to modernize workflows and accelerate scientific outcomes.

Lab informatics is growing 50 to 70% over the next five years, at the exact moment AI is being layered onto scientific data workflows. None of that works until the data gets off the instrument. That is what connectors do.

Role Summary

Connectors are how DLX reaches into the lab: chromatography systems, balances, plate readers, LIMS, ELNs, and vendor applications that were never designed to talk to anything. They are C#/.NET Windows services running on lab PCs, with no web stack. Each one is its own small project with its own surprises: a vendor SDK, a COM or OLE interface, a serial protocol, a file drop, a database nobody documented.

Because there are dozens of these projects and each one is different, this role is for a generalist who is comfortable being handed an unfamiliar system and working out how to make it reliable. A specialty in one integration style is welcome on top of that, but it will be useful on one project in fifty, so it cannot be the whole story.

How Engineering Works Here

We are a small team with a large product. That shapes everything:

• You deliver features, not tickets. You get a target system and a goal. You work out how to talk to it, what the data looks like, how to make it reliable, and how to prove it. Nobody hands you a task list.
• AI is part of the job. We use agentic coding tools every day to design, generate, test, and document. You are expected to work this way and to be a sharp reviewer of what the tools produce. You own the result, not the tool.
• We are regulated. Connectors run inside validated GxP labs. Data integrity, traceability, and auditability are design constraints, not a checklist at the end.
• Thinkers and doers. The people who do well here notice problems, propose fixes, get them wrong sometimes, and get them right the next time. They bring ideas back to the team instead of waiting to be told.

Key Outcomes (First 6 to 12 Months)

• Deliver complete connectors into customer labs: discovery, design, implementation, tests, validation evidence, documentation.
• Take a target system from “here is the vendor” to a working plan without waiting for a task breakdown.
• Improve the shared connector framework and tooling so the next connector is faster than the last.
• Use AI tooling to cut the time from vendor documentation (or its absence) to working code.
• Senior / Lead: own the connector architecture and set the bar for the engineers around you.

Responsibilities

• Design and build connectors as C#/.NET Windows services that integrate instruments and lab systems with the DLX platform.
• Work with whatever the target exposes: REST, vendor SDKs, COM/OLE, file systems, databases, serial and network protocols.
• Build for environments you do not control: locked-down lab PCs, restricted networks, machines you cannot restart at will.
• Write code that meets data integrity and validation requirements.
• Use agentic development tools as the default way of working, and review their output critically.
• Troubleshoot integration issues in customer environments using structured problem-solving.
• Participate in design reviews, code reviews, and Agile ceremonies as a contributor, not an attendee.
• Senior / Lead: lead spikes on new integration approaches; mentor and raise engineering standards.

Must-Have

• Strong C# and .NET, including long-running services (Windows Services or equivalent), not just web applications.
• You have integrated with systems you did not build and could not change, and made those integrations reliable.
• Comfortable starting from incomplete or missing documentation and working out how a system behaves.
• Daily, hands-on use of AI coding tools, and the judgement to know when they are wrong.
• A track record of delivering work you were given as goals, not as task lists.
• Solid engineering fundamentals: design, testing, debugging.
• Git and CI/CD in a team setting.

Good-to-Have

• COM/OLE, Windows API, instrument protocols (serial, GPIB, TCP/IP), or file-based integrations.
• Lab informatics or scientific instruments: LIMS, ELN, CDS, chromatography, analytical instruments.
• Regulated software: GxP, GAMP 5, 21 CFR Part 11, data integrity.
• Messaging systems (Kafka, RabbitMQ) and distributed or event-driven design.
• Exposure to the platform side: Node.js/TypeScript, cloud services, AWS.
• Building AI agents or working with MCP servers.

Success Indicators

• Connectors reach customer labs without needing the plan written for you.
• Each connector you deliver makes the next one easier.
• Your use of AI tooling makes you faster and your work more thorough, and your peers pick up what you learn.
• Colleagues in product, quality, services, and the platform team trust your judgement.
• Senior / Lead: connector decisions get made well when the architect is not in the room.

Why Join Scitara?

• Get real instruments talking to real science for the labs developing the next generation of therapies.
• Variety: every connector is a new system and a new problem.
• Work in an engineering culture where AI-native development is the default, not an experiment.
• Real ownership: designs and decisions are yours.
• Clear paths into technical leadership and architecture.

Please email your resume to careers@scitara.com