Top Tech Jobs & Startup Jobs

Owns end-to-end delivery of cross-functional projects, coordinating engineering teams, executives, global stakeholders, vendors, and laboratory operations. Translates strategy into roadmaps, manages scope, timelines, resources, risks, dependencies, and change, and provides concise executive reporting. Leads Agile ceremonies, removes blockers, improves project processes, and maintains alignment across teams in the United States, United Kingdom, and Australia.

Provides phone, email, and chat support to UK and European clients regarding DNA test kits, orders, results, and accounts. Owns enquiries through resolution, manages replacements and returns, coordinates logistics and laboratory teams, handles sensitive data compliantly, resolves complaints, meets service-level agreements, and contributes to knowledge-base and process improvements.

Receives and documents laboratory shipments, verifies supplies, manages inventory, and maintains organized storage areas. Loads and unloads freight, rotates stock, delivers supplies to lab teams, and handles backup sample accessioning, filing, retrieval, relabeling, and disposal through the LIMS. Assists with equipment organization, repairs, cleaning, and maintenance while maintaining accurate documentation, communication, and inventory records.

Administer and secure global Windows, Linux, cloud, virtualization, networking, identity, storage, backup, and end-user systems. Serve as the Tier 3 escalation point for infrastructure and laboratory technology incidents, lead infrastructure projects, automate administration, support compliance requirements, and manage vendors across US, UK, and Australia operations.

Build and operate scalable Python-first ETL and ELT pipelines for genomic and operational data. Integrate LIMS, laboratory instruments, applications, and third-party sources while guiding architecture and engineering standards. Own data quality, lineage, observability, reproducibility, audit readiness, security, and regulatory compliance across hybrid and cloud environments. Work with SQL databases, workflow orchestration, containers, Kubernetes, AWS data services, distributed processing, streaming, bioinformatics workflows, and infrastructure as code.