Forward-Deployed Scientist (Scientific Solutions Architect)

About Scispot

Scispot is the digital brain for modern labs.

Scispot LabOS connects laboratory workflows, samples, instruments, scientific data, quality processes, and AI within one governed operating layer.

We work with high-throughput biotechs, regulated CROs, diagnostics companies, and clinical laboratories. We help these organizations move away from fragmented software, spreadsheets, manual data transfers, and disconnected scientific records.

We do not begin by selling software features. We begin by understanding how the lab works, where work breaks down, and what outcome the customer needs.

The Role

We are looking for a scientist who can understand a complex laboratory workflow, translate it into a digital solution, and confidently demonstrate that solution to a room of scientific and technical leaders.

As a Forward-Deployed Scientist, you will support customers from initial discovery through early adoption.

Before the sale, you will work with Account Executives to understand the prospect’s science, workflows, instruments, data, quality needs, and operating gaps. You will then design and deliver a tailored Scispot demonstration that reflects how the customer actually works.

After the sale, you will turn discovery into a clear solution blueprint. You will work with Customer Success and implementation teams to shape the statement of work. You will also lead product training for scientists, lab operations teams, administrators, and quality stakeholders.

This is not a generic software demo role.

You must be able to speak to scientists as a scientific peer. You must also be comfortable configuring software, presenting live workflows, answering technical questions, and handling unexpected situations during customer calls.

What You Will DoLead scientific discovery

• Lead technical and scientific discovery with prospects and customers.
• Understand the customer’s assays, samples, instruments, data, users, and quality processes.
• Map current workflows from sample intake through experiment execution, instrument output, review, and reporting.
• Identify manual steps, data gaps, compliance risks, and sources of delay.
• Separate stated requests from the underlying business and scientific problem.
• Define the customer’s desired future state and measurable success criteria.
• Document requirements clearly for Sales, Product, Customer Success, and Engineering.

Design and deliver tailored demonstrations

• Translate customer requirements into focused Scispot solution demonstrations.
• Configure workflows, data structures, forms, dashboards, permissions, and automation for demos.
• Use realistic scientific examples instead of generic product tours.
• Demonstrate how Scispot supports the customer’s actual sample and data journey.
• Lead live demos, technical workshops, validation sessions, and solution reviews.
• Adapt your message for scientists, lab leaders, IT, quality teams, and executives.
• Answer detailed product, workflow, data, and scientific questions during live calls.
• Help the Account Executive establish a clear technical and scientific win strategy.
• Identify product gaps early and avoid commitments that Scispot cannot support.

Shape the solution and implementation scope

• Convert pre-sales discovery into a clear solution blueprint.
• Define workflows, user groups, instruments, data sources, reports, and key integrations.
• Work with Customer Success and implementation leaders to prepare the statement of work.
• Clarify what is standard configuration, what requires implementation services, and what may require custom engineering.
• Identify assumptions, dependencies, customer responsibilities, and delivery risks.
• Ensure that the solution sold can be implemented successfully.
• Provide a clean and complete handoff from Sales to the post-sales team.

Lead scientific product training

• Deliver workflow-based product training to customer teams.
• Train scientists using examples that match their assays and daily laboratory work.
• Train lab managers on oversight, dashboards, reviews, and operational controls.
• Train administrators on configuration, permissions, templates, and governance.
• Support quality teams with relevant audit trail, review, approval, and data-integrity workflows.
• Create role-based training plans for different customer groups.
• Run live exercises instead of relying only on feature presentations.
• Help customers understand both how to use Scispot and why each workflow has been designed in a specific way.
• Support train-the-trainer programs for larger customer deployments.
• Review early customer use and identify gaps in understanding or adoption.

Support early customer adoption

• Maintain continuity between the sales process and implementation.
• Confirm that configured workflows still match the customer’s scientific needs.
• Support key workflow reviews, user acceptance sessions, and early go-live activities.
• Help resolve scientific or workflow questions that require more than standard product support.
• Work with Customer Success to identify adoption risks.
• Help customers connect product use to measurable laboratory outcomes.

Build repeatable scientific solutions

• Develop reusable demo environments for key Scispot customer segments.
• Build workflow templates for common laboratory use cases.
• Create scientific discovery guides, demo scripts, training material, and solution playbooks.
• Help Sales improve scientific qualification.
• Help Customer Success improve implementation readiness.
• Share field insights with Product and Engineering.
• Identify common workflow patterns that Scispot can turn into product capabilities or packaged solutions.

What You Will Own

You will own:

• Scientific and technical discovery.
• Workflow mapping.
• Demo solution design.
• Live technical demonstrations.
• Scientific objection handling.
• Solution documentation.
• Implementation scoping support.
• Scientific product training.
• Continuity between pre-sales and early post-sales.
• Reusable scientific demo and training assets.

You will partner with:

• Account Executives, who own the commercial relationship and sales process.
• Customer Success, which owns customer health, adoption, and account outcomes.
• Implementation leaders, who own the delivery plan and implementation execution.
• Forward-Deployed Engineers, who own custom code, APIs, complex integrations, and technical extensions.
• Product and Engineering, which own product decisions and platform development.

Who You AreScientific foundation

• You have an MSc, PhD, or equivalent practical experience in life sciences, molecular biology, biochemistry, analytical chemistry, biotechnology, bioengineering, or a related field.
• You have meaningful hands-on laboratory experience.
• You understand how scientific work moves from samples and protocols to instrument data, analysis, review, and reporting.
• You can quickly learn unfamiliar assays and scientific workflows.

Customer-facing experience

• You have at least three years of experience in a customer-facing scientific or technical role.
• Relevant backgrounds may include Scientific Solutions Architect, Field Application Scientist, Solutions Consultant, Applications Scientist, Lab Informatics Consultant, Scientific Customer Success, or Pre-Sales Engineer.
• You have supported scientific software, laboratory technology, analytical instruments, or life-science data platforms.
• You are comfortable leading calls with senior scientists, lab directors, IT leaders, quality teams, and executives.

Laboratory and instrument fluency

You understand laboratory workflows and the data produced by scientific instruments.

Experience across every instrument type is not required. Strong experience in several of the following areas is valuable:

• Plate-based assays and plate readers.
• High-throughput screening.
• HPLC, UPLC, and chromatography workflows.
• LC-MS or other mass spectrometry workflows.
• Flow cytometry and FlowJo.
• Sequencing and genomics workflows.
• Molecular biology and cell-based assays.
• Bioanalytical and quality-control workflows.
• Sample accessioning, inventory, chain of custody, and batch processing.
• Instrument files, calculated results, metadata, and scientific reports.

Technical fluency

• You are comfortable learning and configuring modern SaaS products.
• You understand how laboratory data should be structured.
• You can work with tables, schemas, relationships, metadata, and controlled vocabularies.
• You are comfortable with CSV, JSON, APIs, and integration concepts.
• You can explain how data moves between instruments, software, storage, and downstream systems.
• You can discuss permissions, audit trails, data governance, and system access.
• You do not need to be a software engineer.

Communication and training

• You communicate with scientists as a scientific peer.
• You ask precise questions and listen for what is not being said.
• You can turn a complex workflow into a clear visual story.
• You can confidently run a live software demonstration.
• You remain composed when a demo or customer conversation moves in an unexpected direction.
• You can teach technical concepts without making them feel complex.
• You can adjust your language for scientists, executives, IT teams, and quality stakeholders.
• You write clear workflow documents, solution notes, and implementation requirements.

How Success Will Be Measured

You will be successful when:

• Prospects see their real scientific workflows reflected in Scispot demonstrations.
• Account Executives bring you into deals early because you improve discovery and deal strategy.
• Technical and scientific objections are identified before they become late-stage blockers.
• Customers understand exactly what Scispot will deliver before signing.
• Statements of work reflect the solution that was discussed during the sales process.
• Customer handoffs contain clear workflows, requirements, risks, and success criteria.
• Training gives scientists the confidence to use Scispot in their daily work.
• New customers reach meaningful product use faster.
• Product and Engineering receive useful, structured feedback from the field.
• Scispot develops reusable solutions instead of rebuilding every demo and training program from scratch.