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Job Description Introduction Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives. Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards. Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next? Role Overview We are looking for a Claude Code Architect — a rare blend of AI engineering depth and pharma commercial domain expertise. In this role you will design, build, and govern a fleet of autonomous agents built on Anthropic's Claude Code SDK. These agents will be the backbone of next-generation Commercial Data Platform, automating complex workflows across data ingestion, transformation, insight generation, CRM integration, and commercial analytics for pharmaceutical clients. You will set the architectural blueprint for agent-based development, define prompt engineering standards, build reusable agentic toolchains, and mentor a team of engineers in Claude Code best practices. This is a senior individual contributor / tech lead role with a direct impact on product strategy. Key Responsibilities 1. Agent Architecture & Design • Architect end-to-end multi-agent systems using the Claude Code SDK and Anthropic API, covering orchestration, tool use, memory management, and inter-agent communication., • Define the agent topology for the commercial data platform: data ingestion agents, transformation agents, validation agents, insight narration agents, and CRM-sync agents., • Design agent workflows for pharma commercial use cases including sales force automation, territory management, incentive compensation calculation, marketing attribution, and patient journey analytics., • Build and maintain MCP (Model Context Protocol) servers and custom tool integrations for pharma data sources (IQVIA, Symphony Health, CRM systems, data lakes)., • Establish prompt engineering standards, system prompt libraries, and agent persona guidelines for commercial pharma contexts. 1. Claude Code Development & Engineering • Lead hands-on development using Claude Code CLI, including slash commands, hooks, and custom extensions., • Build agentic pipelines that orchestrate Claude Code agents to perform autonomous ETL, data quality checks, anomaly detection, and report generation on pharma commercial datasets., • Develop reusable Claude Code plugins and skill packs tailored to pharma commercial workflows., • Implement agent evaluation frameworks: define metrics, run evals, and continuously improve agent performance and reliability., • Integrate Claude-powered agents with cloud platforms (AWS, Azure, GCP) and pharma data warehouses (Snowflake, Databricks, Redshift). 1. Commercial Data Platform Development • Drive the architecture of AI-native commercial data platform, ensuring it is modular, scalable, and agent-ready., • Collaborate with product and data teams to translate pharma commercial business requirements into agentic workflows., • Ensure data governance, compliance (HIPAA, GDPR), and security standards are embedded into all agent-driven data pipelines., • Build real-time and batch agent workflows for processing specialty pharmacy data, prescription data, sales performance metrics, and HCP/HCO engagement data., • Design agent-assisted self-service analytics capabilities for commercial operations teams at pharma clients. 1. Technical Leadership & Mentorship • Define and enforce Claude Code development best practices, coding standards, and review processes for the engineering team., • Mentor junior and mid-level engineers on agentic AI patterns, prompt engineering, and pharma commercial data concepts., • Act as the internal subject matter expert on Claude Code, Anthropic APIs, and agentic system design., • Collaborate with Anthropic's ecosystem to stay current with Claude model updates, new SDK features, and best practices., • Lead architectural reviews, design documentation, and technical roadmap planning for the AI agent platform. 1. Client Engagement & Pre-Sales Support • Participate in client-facing discussions to explain agent-based platform capabilities to pharma commercial stakeholders., • Contribute to RFP responses, solution design documents, and POC development for prospective pharma clients., • Collaborate with client success teams to tailor agent deployments to specific commercial model configurations (specialty, rare disease, primary care, oncology). Required Qualifications Claude Code & Anthropic Ecosystem (Must-Have) • Deep, demonstrable expertise with Claude Code CLI — including slash commands, hooks, settings configuration, and IDE integrations., • Hands-on experience building agents using the Anthropic Claude Agent SDK and Anthropic API (tool use, multi-turn, computer use)., • Strong understanding of Model Context Protocol (MCP) — both consuming MCP servers and building custom MCP server integrations., • Experience with Claude model selection strategy (Opus, Sonnet, Haiku) for different agentic task profiles., • Proficiency in prompt engineering: system prompts, few-shot examples, chain-of-thought, XML-structured outputs, and agent personas., • Familiarity with Claude Code plugin architecture, skill creation, and agentic workflow orchestration. Software Engineering • 8+ years of software engineering experience with strong proficiency in Python and/or TypeScript/JavaScript., • Experience building production-grade agentic or LLM-powered applications with robust error handling, retries, and observability., • Proficiency with cloud platforms: AWS (Lambda, S3, Glue, SageMaker), Azure, or GCP., • Strong background in data engineering: ETL/ELT pipelines, data modeling, SQL, and data warehouse technologies (Snowflake, Databricks preferred)., • Experience with REST APIs, GraphQL, and enterprise system integrations (CRM, ERP, data marketplaces)., • Familiarity with containerization and orchestration (Docker, Kubernetes) for deploying agent workloads. Core Technical Skills Claude Code CLI (advanced) Agentic Workflow Design Anthropic API & Agent SDK Agent Evaluation Frameworks Model Context Protocol (MCP) ETL / Data Pipeline Engineering Prompt Engineering SQL & Data Modeling Python / TypeScript Databricks – MUST HAVE Snowflake / Databricks HIPAA / Data Governance Azure – MUST HAVE Git / CI/CD REST APIs & Integrations LLM Observability & Monitoring Preferred Qualifications (Pharma Domain) • 4+ years of experience working in or with pharmaceutical commercial operations, life sciences data, or healthcare analytics., • Familiarity with pharma commercial data types: prescription data (TRx/NRx), specialty pharmacy data, HCP/HCO master data, sales force sizing, territory alignment, and incentive compensation., • Understanding of pharma commercial processes: launch readiness, market access, brand planning, CRM (Veeva CRM / Salesforce Health Cloud), and field force effectiveness., • Knowledge of compliance considerations in pharma data: HIPAA, Sunshine Act, sampling compliance, and data de-identification., • Exposure to specialty therapy areas (oncology, immunology, rare disease, CNS) and their unique commercial data characteristics., • Experience building analytics products for commercial pharma clients: dashboards, KPI engines, field reporting, and call plan optimization. Behavioral Competencies • Systems Thinker: Ability to design complex, interconnected agent systems with a clear mental model of failure modes and recovery paths., • Builder Mindset: Comfortable working in ambiguity, defining standards from scratch, and iterating rapidly toward production quality., • Communication: Can articulate complex agentic AI concepts clearly to both technical and non-technical pharma stakeholders., • Ownership: Takes end-to-end accountability for agent platform quality, reliability, and business impact., • Collaboration: Works effectively across data science, product, client success, and engineering teams in a globally distributed organization., • Continuous Learning: Actively follows Anthropic release notes, agentic AI research, and pharma commercial industry trends. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. #LI-DM1 Powered by JazzHR 47uGma8w1E

Sr Lab System Support Engineer Location : Rahway, NJ (onsite) Job Description/ Responsibilities Sr Lab System Support Engineer plays a key role in supporting laboratory operations by ensuring the smooth functioning of lab systems, analytical instruments, and data workflows. This entry-level position is ideal for candidates with a background in life sciences or IT who are eager to work in a regulated pharmaceutical environment. Must Have's: 1. Lab system life cycle management, 2. Lab system vendor handling, 3. Lab system business processes understanding in pharmaceutical regulatory environment Roles & Responsibilities • Lab System Lifecycle Management:, • Manage end to end lab system lifecycle including implementation validation maintenance and decommissioning, • Ensure compliance with SDLC CSV GxP and regulatory standards, • Handle system upgrades patching backup archival and audit readiness, • Lab System Vendor Handling:, • Act as point of contact for vendors for installation support and issue resolution, • Coordinate maintenance upgrades and ensure SLA and regulatory compliance, • Manage vendor deliverables documentation and escalation handling, • Lab System Business Process Understanding in Pharmaceutical Regulatory Environment. Understand lab workflows and align systems with business and regulatory requirements. Ensure compliance with GLP GMP GxP and data integrity standards, • Collaborate with QA IT and lab teams to support audits and process improvements Key Skills & Expertise • Good Knowledge and understanding on the GXP., • Good knowledge of Computer System Validation., • Good understanding of laboratory instruments and analytical techniques., • Familiarity with lab software systems., • Strong problem-solving and communication skills., • Ability to work in a regulated environment and follow SOPs., • Good Knowledge of Ticketing systems (ServiceNow/Remedy etc), • Good Knowledge on the Problem/Deviation/Change/CAPA Management Process. Education: • Bachelor’s degree in Life Sciences, Chemistry, Biology, Computer Science, or related field., • 8+ years of experience in a laboratory or IT support role.

Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap – Right Talent – Right Time – Right Place – Right Price and acting as a Career Coach to our consultants. Please go through below JD and If you are interested, kindly forward your resume to Prashant.singh@net2source.com. We will review your profile and get back to you at the earliest. Role: Pharma Lab Systems Support Engineer Work Location: Rahway, NJ - onsite Hire Type: 11 Months Pay Rate: $47/hr on W2 Pay Cycle: Weekly Job Summary Sr Lab System Support Engineer plays a key role in supporting laboratory operations by ensuring the smooth functioning of lab systems, analytical instruments, and data workflows. This position is ideal for candidates with a background in life sciences or IT who are eager to work in a regulated pharmaceutical environment. Job Duties: • Provide first-level hands & feet support for laboratory software systems and instrument integration platforms., • Oversee daily lab activities including scheduling, equipment maintenance, and workflow optimization., • Act as a liaison between the lab and external entities (e.g., regulatory bodies, partner institutions)., • User Management Activities (E.g: User Creation, Modification & Deletions etc.), • Hardware related PC/Network – Coordination with Desktop support team, • Vendor communications, coordination during the System Hardware failures & any other Maintenances, • Backup of the Standalone and Benchtop systems on regular basis, • Application Software upgrades on the standalone systems., • Onboarding and off boarding Lab systems, • Monthly patching coordination., • Backup & Restoration for the Lab systems, • Lac/es Configuration, • Update SOPs/ WIs Key Skills & Expertise • Good Knowledge and understanding on the GXP., • Good knowledge of Computer System Validation., • Good understanding of laboratory instruments and analytical techniques., • Familiarity with lab software systems., • Strong problem-solving and communication skills., • Ability to work in a regulated environment and follow SOPs., • Good Knowledge of Ticketing systems (ServiceNow/Remedy etc), • Good Knowledge on the Problem/Deviation/Change/CAPA Management Process. Regards, Prashant Singh Sr. Account Manager - Enterprise Business Net2Source Inc. (201) 285 5087 Office: 270 Davidson Ave, Suite 704, Somerset, NJ 08873 LinkedIn: _

Analyze and evaluate current business processes, anticipate future requirements, identify areas for improvement, and develop and implement effective solutions. Utilize both formal and informal communication methods to stay updated on customer needs and strategies. Communicate updates and findings effectively through project meetings and presentations to diverse audiences, including business and cross-functional partners, application users, and business leadership stakeholders. Share ideas and findings through well-organized meetings and presentations. Analyze requirements and produce detailed documentation, including as-is and to-be process flow diagrams, information flow diagrams, system RACI tables, and business requirements specifications. Ensure that solutions meet business needs and requirements, and effectively communicate insights and plans to cross-functional team members and management. Collect essential information from meetings with various stakeholders, working closely with clients, technicians, and managerial staff. Document and communicate the outcomes of your efforts clearly and effectively. Offer leadership, training, coaching, and guidance to junior staff members. Develop and maintain strong relationships with stakeholders to ensure alignment and support for business initiatives. Identify and mitigate risks associated with business processes and projects. Analyze data to identify trends and insights that inform business decisions. Collaborate with IT teams to ensure clear communication. Create and maintain comprehensive documentation for all business processes and systems. Provide post-implementation support and troubleshooting processes. Ensure compliance with industry regulations and standards in all business processes. Improve the effectiveness and efficiency of the existing CSV delivery model through the creation of various templates, tools, training courses, and the periodic collection of KPI metrics. Contribute to operational and process improvement initiatives related to Quality and Compliance. Apply CSV expertise to make significant contributions to specific business units or departments. Interpret and execute company policies and procedures, recommending modifications to operating policies. Work closely with other validation team members to ensure system impact is assessed and mitigation strategies are in place for multiple sites. Skills and Qualifications: 7+ years of business analysis experience. 5+ years of experience in the pharmaceutical industry. A bachelor's degree in business or a related field, or an MBA. Exceptional analytical and conceptual thinking skills. Ability to influence stakeholders and work closely with them to determine acceptable solutions. Excellent presentation and customer workshop leadership skills. Excellent documentation skills. Experience creating detailed reports and giving presentations. Competency in Microsoft applications including Word, Excel, and Outlook. A track record of following through on commitments. Excellent planning, organizational, proactive, and time management skills. Experience leading and developing top-performing teams. A history of leading and supporting successful projects. Advanced knowledge and expertise in Computer System Validation (CSV), FDA & international requirements, and Part 11 requirements. Experience writing validation deliverables per GAMP guidelines. Experience working in CSV field and GMP pharmaceutical/biotechnology/medical device environments.

Required Skills: • Demonstratable experience in computer system validation (CSV), • Experience in software development processes (SDLC) and software testing life cycle (STLC), • Experience in drafting, reviewing, revising, and maintaining validation documents (CSV), including compliance analysis, compliance plan, change control document, user & functional requirement documents, risk assessments (risk register), test (ST/UAT/regression) protocol, test defect report, test summary report, compliance summary report, traceability matrix, hypercare plan, operation run book and other validation & technical documentation., • Experience in drafting standard operating procedures (SOP) and work instructions (WI), • Strong knowledge of JIRA, client-ALM, qTest tools, • Knowledge of validation & testing in projects implemented using agile methodology, • Knowledge about agile techniques like: user stories, continuous testing, tasks, etc., • Ability to take and understand the commitment to deliver the product on time., • GxP experience is required, • Experience of validation support for 21 CFR Part 11 implementation in pharma industries., • Experience working within a FDA/other regulated pharma industry.

Our IT team operates as a business partner proposing ideas and implementing innovative solutions that enable organizational capabilities. We collaborate internationally to deliver the services and solutions that help everyone to be more productive and enable scientific innovation. Our Digital Manufacturing team is a trusted business partner that enables purposeful innovation and sustainable value, through the delivery and support of seamless digital capabilities that assure safe, compliant, and reliable supply. Digital Manufacturing strives to be the digital force that drives our manufacturing division to be the best at supplying innovative and affordable medicines and vaccines. The leader of our Digital and Autonomous Labs is a key role for Digital Manufacturing; this leader has overall accountability for incorporating new technologies, ensuring our laboratories evolve to become more efficient and effective through digitization, automation, robotics, advanced real-time data analytics and ongoing process verification to track trends, prevent deviations or out-of-specifications, and optimize scheduling. Our Digitally Enabled Labs leader will be highly aware of current technological best practices across the bio-pharmaceutical and will work with the leaders of our quality function to design, implement and support best-in-class platforms that will accelerate our digital transformation across our laboratories. The role reports to the Digital Manufacturing Leader and works in close partnership with other Quality Leaders and key business stakeholders to deliver sustainable value through seamless and standardized digital capabilities across the full manufacturing network. The responsibilities of the Digital and Autonomous Laboratories leader include, but are not limited to the following: • Manage a group of about 65 professionals, across several geographies, promoting career development and continuous upskilling of talent to build incredible teams and the ecosystem to empower them., • Work with the Digital Manufacturing Leader in defining the digital business platforms that are most relevant to our laboratories and work with the relevant teams to set the supporting technology strategy, including: technology standards, value creation targets, implementation plans and the associated delivery and support organizational requirements., • Work with the Digital Manufacturing Leader in developing and implementing next-generation laboratory digital strategies that leverage cloud, intelligent automation and advanced data/analytics capabilities. Build the talent and capability of our manufacturing digital teams to lead across these emerging spaces., • Deliver on the Digitally Enabled Labs capabilities of connected instruments, digital method execution, integrated planning & scheduling, digital integration, digital analytics, and future technologies (AI & Augmented Reality)., • Facilitate the delivery and transition from the current systems model/ architecture/ business process to an enhanced model enabling data structure, business process, and systems architecture prerequisites for the strategic, cloud-based architecture supporting Quality Control., • Work with business stakeholders to deliver a new operating model and business processes that take advantage of digital solutions, robotics, autonomous operations and drive efficiency across Quality., • Support the DEQ Value Team Leader in working in partnership with key quality stakeholders to prioritize the relevant investment portfolio and share accountability with those stakeholders for the maximization of the value realized from all investments, including from existing assets. Continuously work to improve the efficiency of our delivery and support processes and assume responsibility for driving down the total cost of ownership of our Digitally Enabled Labs., • Keep the operation of our laboratory digital platforms stable, compliant, secure and predictable, and demonstrate continuous improvement in our operational metrics, capabilities and processes. Maintain an excellent track record for regulatory inspections and internal audits., • Maintain a strong leadership presence, demonstrating thought leadership and educating/ coaching manufacturing digital leaders on areas of opportunity, while driving mindset and the positive adoption of a new digital savvy culture within manufacturing quality., • Support the DEQ Value Team Leader in leading our organization in the adoption of new agile, risk-based validation approaches and accelerate our adoption of Computer Systems Assurance approaches, that will drive improved levels of protection for patient safety, product quality and data integrity., • Demonstrate excellent stewardship of our Company's resources (both people and financial), build financial plans that deliver on our company's objectives and implement a culture of strong financial accountability across the Digitally Enabled Labs organization., • Develop a visible and authentic external presence, and strong internal networks, to recruit highly skilled talent, stay current with industry trends, and establish effective vendor partnerships., • Maintain a specific focus on their own personal development, maintain a development plan and regularly update their skillsets through an active commitment to life-long learning. Education: • Bachelor's Degree in information management, computer science or a computer related field, or a laboratory management/systems background with relevant experience is required Required Experience and Skills: • 12+ years of experience in digital/ technology enabled laboratories, • 5+ years of working in Executive Management, • 5+ years of working in robotics and autonomous operations, • Science background and laboratory management experience, • Demonstrated ability to manage multiple large programs establishing and overall strategic direction across platforms is required, • Experience in a GMP-regulated environment, involving quality decision making, with a proven track record of effectively supporting a moderate to large size quality function from a technology/ digital perspective, • Experience with digital technologies such as artificial intelligence, IoT, data analytics, automation, as well as cross discipline in Application development and Business Intelligence, Analytics, support, engineering, and architecture, • Experience with laboratory control systems including Laboratory Information Management Systems, (LIMS) Laboratory Execution Systems, (LES) Chromatography Systems, Data Orchestration and Integration Systems, and Laboratory Instrument Control Systems., • Specific Experience with LabWare LIMS, Biovia OneLab, Scitara, Waters Empower, SoftMax Pro, LabX, is preferred, • Knowledge and experience with new technology with respect to long term strategic options is expected (especially robotics and autonomous lab technologies), • Ability to digest, consolidate, and interpret complex Quality Control business process requirements enabling/delivering strategic digital solutions that enhance end user effectivity, • Ability to engage with Research and Development (R&D) R&D IT to establish a seamless process and data flow between the R&D laboratories and Manufacturing teams is required, • Ability to synthesize and solution design information, architectural principles, available technologies, third-party products, and industry standards to formulate a system architecture that meets business requirements and can be delivered within the desired timeframe, • Extensive knowledge of the broad spectrum of quality specific digital/technology areas, including digital trends, forthcoming industry standards, new products, and the latest solution development techniques; ability to leverage this knowledge to formulate technical solution strategy, • Proven track record of building high performing teams, • Proven ability to select top talent and create a productive environment that promotes initiative, innovation, continual learning, and development of digital/technology leaders for future advancement, • Self-motivated, value-oriented with a mindset of continuous learning, • Experience managing and motivating multiple teams, • Excellent communication and presentation skills for a wide range of audiences, • Communicates candidly and fluently in English Location: Applicants should reside within commutable distance to NJ/ PA company sites or willing to be present 2/3 days per week onsite. Required Skills: Asset Management, Benefits Management, Business Intelligence (BI), Digital Analytics, Digital Manufacturing, Digital Strategy, Digital Transformation, Digitizing, Executive Management, Laboratory Information Management System (LIMS), Management System Development, Patient Safety, Product Management, Requirements Management, Stakeholder Engagement, Stakeholder Relationship Management, Strategic Planning, System Designs, Systems Architecture Preferred Skills: