> Markdown version of [/jobs/ext/221834-convergehealth-r-d-life-sciences-product-owner-innovation_delivery_transformation](https://www.wearedevelopers.com/jobs/ext/221834-convergehealth-r-d-life-sciences-product-owner-innovation_delivery_transformation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# ConvergeHEALTH - R&D Life Sciences, Product Owner - Innovation_Delivery_Transformation

- **Company:** Deloitte T.T.L.
- **Location:** Sacramento, CA, United States
- **Salary:** $64,400.0 - $155,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Audit Trail, Data Systems, Cursor (Graphical User Interface Elements), Laboratory Information Management Systems, Machine Learning, Metadata, Software Prototyping, Management of Software Versions, Information Technology, Nintex, GXP
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=710511a43fc0ac7d

## About the Role

As a functional SME embedded with our Lab of the Future product team, you will play a pivotal role in defining and refining new lab informatics product capabilities by bringing first-hand industry experience from working in, or directly supporting, pharma/biotech R&D laboratory environments. The ideal candidate brings strong knowledge of laboratory workflows, experience with LIMS (Laboratory Information Management System) / ELN (Electronic Lab Notebook), and a deep understanding of lab instruments, data modalities, and research processes across pharma R&D domains to guide feature build., * Demonstrated ability to translate domain knowledge into crisp functional requirements and to collaborate effectively in a techno-functional product environment

 * Quick learner, ability to pick the rapid AI prototyping tools (Cursor, Lovable, N8N, ElevenLabs) to convert ideas to demonstrable concepts, Required
 * Bachelor's degree (Master's preferred) in computational biology, bioinformatics, life sciences, biomedical engineering, or a related field
 * 6+ years of experience working in or closely supporting biotech/pharma R&D labs (lab operations, lab informatics, scientific data systems, or similar)
 * 3+ years of hands-on experience with LIMS and/or ELN platforms and how they fit into scientist workflows
 * 2+ years of experience working with laboratory workflows, instruments, and data modalities (e.g., flow cytometry, genomics, proteomics, imaging, or other analytical tools)
 * Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve
 * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred

 * 2+ years of experience integrating lab instruments and data systems to streamline workflows and enable cross-platform data use
 * 1+ year of exposure to AWS or cloud-native concepts and modern data/analytics patterns
 * 1+ year of experience in regulated lab environments with familiarity of compliance expectations (e.g., GxP, 21 CFR Part 11), including audit trails, e-signatures, and validation-ready documentation

## Description

* Act as the functional SME, bringing real-world knowledge from pharma R&D lab environments and end-to-end lab workflows (across multiple R&D domains) to define product requirements; partner with Product Management to translate those requirements into user stories, acceptance criteria, and key edge cases.
 * Provide cross-domain perspective across pharma R&D (discovery through development; adjacent handoffs as relevant), ensuring features support common workflows rather than narrow, single-technique needs.
 * Recommend workflow improvements for efficiency, quality, and compliance, and translate them into product features and configuration options
 * Define expected data outputs and end-to-end flows (sources, formats, and metadata expectations) to inform ingestion, standardization, traceability, and downstream use cases.
 * Leverage expertise in lab data types (e.g., assay data, imaging data, multi-omics data) to inform product data models, integration patterns, and functional capabilities.
 * Provide functional leadership and best practices for managing lab data across diverse instruments and platforms (including practical realities like missing metadata, versioning, reprocessing, and auditability)
 * Partner day-to-day with Product Management, Engineering, UX, and QA to clarify intent, review designs, validate workflow fit, and support release readiness.
 * Create, curate, or source open datasets (and/or realistic synthetic datasets where needed) that represent common lab outputs for functional testing, demos, and regression coverage.
 * Define test scenarios that reflect real lab behavior (repeats, controls, reruns, calibration drift, batch effects, exceptions) and ensure the product handles them reliably.
 * Contribute to ongoing product research and development efforts by tracking emerging trends in lab informatics, data science, and digital transformation that affect product direction
 * Knowledge of automation and AI/ML applications in lab informatics and/or experience with digital transformation initiatives focused on laboratory environments
 * Act as a product owner, in context of product forward deployed engineer (pFDE) pod deployed on client engagements to make the engagement successful and remove any friction in adoption of product

Sales Support:

 * Support client-facing activities during sales cycles, including participating in demos and drafting the demo storyline to highlight the product's strongest capabilities and value proposition
 * Pursuit support, helping shape use-case framing, respond to workflow/technical questions, and address objections with credible lab-domain context
 * Bring insights from your experience (and structured internal feedback loops with SMEs/users) back to the product team to inform and influence the product roadmap


## Related Videos

- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)
- [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros)
- [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata)
- [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies)

## Related Articles

- [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)
- [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)
- [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers)