Jobs at PSL Group

Plans, coordinates, and delivers cross-functional enterprise initiatives across Operations, Technology, and business teams. Manages project scope, timelines, milestones, dependencies, risks, issues, stakeholder alignment, reporting, and documentation. Facilitates Scrum ceremonies for technology teams, tracks sprint and delivery KPIs, removes blockers, and supports continuous improvement. The role owns project execution tracking and escalation while partnering with business analysts, developers, QA, and IT operations.

Leads large-scale, cross-functional enterprise initiatives from planning through delivery and business readiness. Owns program governance, execution strategy, stakeholder alignment, risk and dependency management, escalation processes, and coordination across process engineering, technology, and business teams. Partners with executives to resolve conflicts, manage trade-offs, and ensure initiatives achieve defined outcomes on time and within scope.

Owns automated data quality monitoring, alerting, dashboards, issue investigations, root-cause analysis, and pre- and post-deployment data acceptance testing. The role collaborates with engineering, application development, architects, data owners, and business stakeholders to assess data impact, document findings, provide release sign-off, and improve reusable quality checks and governance practices.

Manages medical research projects from setup through delivery, coordinating internal teams, clients, external fieldwork partners, translations, and survey programming. Responsibilities include developing timelines, monitoring scope, risks, budgets, fieldwork progress, and deliverables while ensuring projects meet client requirements, quality standards, deadlines, and profitability targets.

Leads headquarters market research initiatives for Board priorities, translating direction into survey objectives, questionnaires, sampling plans, methodologies, and execution. Oversees recruitment, data collection, coding, validation, and quality control; analyzes findings and builds Google Sheets dashboards with clear metrics and trend context. Establishes scalable research workflows, improves survey operations, and identifies suitable AI automation opportunities while maintaining output review. Reports to the Chief of Staff.

Develop and maintain secure, scalable full-stack applications using React, PHP Symfony, Node.js, TypeScript, AWS, Kubernetes, and serverless technologies. The role includes architecture, API and database design, GenAI integrations, automated testing, performance optimization, legacy modernization, code reviews, security practices, and mentoring junior developers.

The Sales Consultant will generate and close new business within life sciences territories. Responsibilities include prospecting, cold calling, emailing senior decision-makers, qualifying inbound leads, arranging meetings and demos, developing strategic account plans, forecasting, identifying revenue opportunities, and managing cross-functional client relationships. The role is fully remote, with travel to client sites, conferences, and events as needed.

Architects and automates AWS cloud infrastructure using Infrastructure as Code, designs CI/CD pipelines, and improves application reliability and performance. Evaluates generative AI and agentic tooling, maintains automated incident-investigation runbooks, and implements monitoring, logging, alerting, and AI-powered observability. Collaborates with development, product, and security teams, performs code reviews, troubleshoots operational issues, contributes hands-on coding, and maintains applications through automation.

Designs, develops, and maintains scalable software solutions focused on AI integration and business process automation. Responsibilities include architectural and code-level design, requirements analysis, code reviews, technical problem-solving, technology research, and AI-powered regression and integration testing. The role uses AWS serverless services, Node.js, TypeScript, SQL databases, React, and large language model technologies. It also involves mentoring junior developers and collaborating with project managers and engineering teams.