Top Tech Jobs & Startup Jobs

Leads the design, evolution, and migration of enterprise test automation frameworks and infrastructure. Builds Playwright and C#/.NET web automation, REST API and database validation, parallel execution, ephemeral environments, and CI/CD testing workflows. Provides technical leadership, code reviews, mentoring, architecture guidance, and organization-wide automation strategy. Collaborates with engineering, DevOps, architecture, and QA teams to advance shift-left testing, continuous testing, reliability, and scalable cloud-native quality practices.

Provides first-level technical support for elluminate clinical data platform clients by troubleshooting issues, managing support tickets and SLAs, communicating updates, escalating unresolved problems, coordinating software upgrades, training users, and mentoring junior support engineers. Requires strong communication, technical problem-solving, organization, multitasking, and customer service skills. Experience with SQL Server, ETL, data warehousing, and clinical trial data is advantageous.

Designs and develops core modules for the Elluminate platform across the full software development lifecycle. Responsibilities include building interactive, data-driven web applications; writing and reviewing code and unit tests; contributing to scalable, secure architecture; supporting QA, releases, and defect resolution; researching technologies; and providing technical support for existing product releases.

Leads biometrics business development and revenue growth across biotech and pharmaceutical clients. Owns go-to-market strategy, pipeline development, complex deal pursuits, executive relationships, proposals, negotiations, partnerships, pricing, and account expansion. Serves as a trusted biometrics subject-matter expert while collaborating with delivery, product, operations, finance, and legal teams. The role requires experience selling biostatistics, statistical programming, data management, and analytics services, plus understanding of clinical trials and regulatory environments.

Leads adoption of AI-assisted software development and delivery practices across engineering teams. Partners with Engineering, SQA, Product, Architecture, and DevOps to improve SDLC workflows, automation, quality, delivery predictability, and engineering productivity. Establishes AI-enabled practices involving LLMs, intelligent automation, agentic workflows, prompt engineering, and guardrails while tracking metrics such as cycle time, rework, automation coverage, and AI adoption.

Leads the end-to-end talent acquisition function, including employer branding, requisition management, technical and clinical recruiting, passive-candidate sourcing, hiring-manager advising, workforce planning, and recruiting metrics. Builds AI-enabled hiring workflows using automated sourcing, screening, scorecards, and analytics while ensuring human judgment, fairness, explainability, compliance, and a strong candidate experience.

Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.

Drives revenue growth and strategic partnerships for elluminate SaaS and analytics solutions serving biotech and pharmaceutical clients. Responsibilities include territory strategy, pipeline development, complex deal closure, executive client engagement, proposals, contract negotiation, account expansion, market strategy, pricing, and cross-functional collaboration. Requires life sciences SaaS sales expertise, knowledge of clinical trial processes, strong commercial acumen, and experience closing large multi-year contracts.

Leads an eLearning team developing, maintaining, and optimizing self-paced digital learning content for a clinical data platform. Owns content strategy, roadmaps, production workflows, quality standards, analytics, accessibility, and learning outcomes. Collaborates with subject matter experts, product teams, stakeholders, and external partners to translate complex concepts into effective training. Uses AI and emerging technologies to improve development and personalization, while mentoring team members and incorporating learner feedback.

Lead hands-on development of scalable full-stack web applications and core platform services for a clinical data and analytics platform. Influence architecture, engineering standards, security, reliability, and maintainability; mentor engineers; resolve distributed-system production issues; and collaborate across product and QA. Integrate LLMs, AI-assisted workflows, and agentic patterns into secure .NET and Python enterprise systems while supporting documentation, compliance, and the full software development lifecycle.