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Manage and expand customer relationships with enterprise pharmaceutical, biotech, and life sciences clients. Responsibilities include account mining, revenue retention and pipeline development, RFP leadership, customer engagement management, renewals, steering committee presentations, project transitions, value proposition development, and consultative guidance on industry trends and best practices.

Leads the design, development, and delivery of scalable automation solutions for laboratory and scientific workflows. Responsibilities include software architecture, Python and AWS development, APIs, microservices, data pipelines, system integrations, workflow orchestration, testing, CI/CD, production support, and regulatory compliance. The role mentors engineers, establishes reusable frameworks, manages technical delivery and dependencies, and serves as a client-facing technical lead across distributed teams.

Leads a 2026 proof-of-concept and planning initiative to migrate on-premise HPC environments to AWS. Owns integrated project delivery, stage-gate governance, risk management, workflow mapping, data migration planning, stakeholder alignment, executive communications, and funding proposals. Partners with technical, research, security, engineering, and leadership teams to define cloud architecture requirements, resolve dependencies, and prepare the program for full-scale implementation.

Designs and operates data infrastructure for a clinical trial platform. Builds pipelines that extract, normalize, validate, and link information from clinical documents and publications into Aurora and GraphDB. Develops embeddings, vector search, RAG workflows, data-serving APIs, lineage tracking, and regulatory audit trails. The role also requires AWS-based orchestration, clinical data quality controls, biomedical knowledge graph modeling, and deployment automation using infrastructure-as-code and containerization.

Provides on-site technical support for laboratory automation environments, including installation, maintenance, troubleshooting, scripting, validation, user training, and preventative maintenance. Operates and configures liquid handlers, plate readers, robotic systems, and automation software. Collaborates with scientists and engineering teams to improve research workflows, documents procedures, supports compliance programs, and manages tasks across multiple customer projects.

Provides technical support and engineering services for laboratory automation environments. Installs, operates, maintains, validates, troubleshoots, and scripts liquid handlers, plate readers, robotic systems, and related software. Develops methods, performs testing, modifies automation systems, trains users, documents procedures, and supports compliance programs. Collaborates with scientists and engineering teams to improve research workflows and implement automation technologies across client laboratory sites.

Lead delivery and operation of enterprise analytics platforms in a regulated pharmaceutical environment. The role requires AWS cloud infrastructure expertise, EKS, Argo CD, GitOps, CI/CD, cloud security, and platform operations. Responsibilities include stakeholder management, Agile delivery, backlog and roadmap ownership, sprint planning, resource allocation, offshore team coordination, platform adoption, and cross-functional technical leadership.

Lead hands-on technical delivery for a cross-functional product engineering pod. Design and implement Angular frontends, Python APIs, and cloud-native services while guiding engineers through architecture, code reviews, testing, releases, and production troubleshooting. Translate product requirements into maintainable designs and vertical slices, establish quality and security standards, manage technical debt, and collaborate with Product, QA, BA, and DevSecOps teams. Experience in regulated life sciences, clinical technology, and standards such as CDISC or USDM is preferred.

Leads the full Manufacturing Informatics business lifecycle, including market strategy, sales, business development, solutioning, delivery, operations, P&L, and customer expansion. Builds executive relationships across pharmaceutical and biotechnology manufacturing organizations; oversees MES, EBR, digital manufacturing, integrations, analytics, AI/ML, and Industry 4.0 initiatives. Develops partnerships, recruits and leads global teams, manages financial and operational performance, and ensures solutions meet regulatory, cybersecurity, data integrity, and business requirements.

Lead data engineering initiatives for pharmaceutical and biotech clients by building cloud-based data pipelines, warehouses, processing systems, analytics, and visualization tools. Responsibilities include analyzing business requirements, transforming big data, identifying insights, advising on standards and best practices, estimating engineering efforts, collaborating with stakeholders and leadership, and supporting growth of the data science business.