A global biopharmaceutical company with a growing U.S. presence is seeking a Director of Pricing Policy and Analytics to lead pricing policy evaluation and build an advanced analytics function within the U.S. Pricing & Contracting team. This role plays a key part in shaping pricing strategies, assessing the impact of evolving healthcare policy, and supporting executive decision-making through data-driven insights.<br><br>In this role, you will:<br><br>Evaluate the impact of U.S. healthcare policy (e.g., IRA, CMS reforms, international reference pricing) on pricing strategies and market access.<br><br>Design and implement data-driven pricing dashboards and analytical models to support pricing decisions and strategic planning for in-line and pipeline assets.<br><br>Benchmark pricing strategies across therapeutic areas and geographies; track payer/PBM behavior, formulary trends, and contract performance.<br><br>Oversee advanced analytics efforts, including price elasticity analysis, scenario modeling, and value-based pricing strategy development.<br><br>Use claims data and forecasting tools to inform data-backed reimbursement strategies.<br><br>Collaborate cross-functionally with Market Access, Government Affairs, Legal, Regulatory, Finance, and Commercial teams to ensure pricing approaches are consistent, competitive, and compliant.<br><br>Key stakeholders include:<br><br>U.S. Market Access & Patient Services<br><br>Government Affairs<br><br>Finance & Government Pricing<br><br>Legal and Compliance<br><br>What we’re looking for:<br><br>8–12 years of experience in pharmaceutical pricing and contracting, pricing policy, market access, or advanced analytics, particularly within brand/specialty products.<br><br>Master’s degree preferred (e.g., MBA, Finance, Healthcare Management, or related field).<br><br>Strong knowledge of U.S. healthcare reimbursement landscape and pricing frameworks; global exposure a plus.<br><br>Hands-on experience with value-based contracting and policy analysis.<br><br>Proficiency with SAS, R, Python, or Tableau for data modeling and visualization.<br><br>Excellent communication skills and the ability to simplify complex data for senior leadership.<br><br>Ideal candidate traits:<br><br>Analytical mindset with a proactive, hands-on approach.<br><br>Entrepreneurial spirit with the ability to manage multiple initiatives in a fast-moving environment.<br><br>Detail-oriented and highly organized.<br><br>Additional Details:<br><br>Travel: Approximately 10%<br><br>Work model: Hybrid (3 days per week in Princeton, NJ office)<br><br>Benefits include:<br><br>401(k) with match<br><br>Medical, dental, and vision insurance<br><br>Company-paid life and disability coverage<br><br>HSA/FSA options<br><br>Legal and pet insurance<br><br>Paid parental leave<br><br>Mental health resources<br><br>Employee discounts and incentive compensation programs
<p><strong>Senior Cloud Engineer</strong></p><p><strong>Location:</strong> Remote</p><p><strong>Start Date:</strong> January 12, 2026 (or upon clearance)</p><p><strong>Duration:</strong> 12 Month Contract</p><p><strong>Travel:</strong> Limited, possible</p><p><strong>Important Requirements</strong></p><ul><li>The selected candidate must obtain <strong>Public Trust security clearance</strong>.</li><li>Additional background screenings will be conducted upon acceptance.</li></ul><p><strong>Position Overview</strong></p><p>We are seeking a highly skilled and motivated <strong>Senior Cloud Engineer</strong> to design, implement, and maintain secure, scalable, and resilient cloud infrastructure for mission-critical systems. This role involves collaboration across multiple teams to ensure operational excellence and compliance with security standards.</p><p> <strong>Key Responsibilities</strong></p><ul><li>Design, deploy, and manage <strong>Azure cloud infrastructure</strong> using <strong>Terraform</strong> for Infrastructure as Code (IaC).</li><li>Develop and maintain reusable Terraform modules and templates.</li><li>Implement and manage Azure services (VMs, Virtual Networks, Storage Accounts, App Services, AKS, Azure SQL).</li><li>Collaborate with DevOps, Security, and Application teams to ensure robust CI/CD pipelines and secure configurations.</li><li>Automate provisioning, configuration, and scaling of cloud resources.</li><li>Monitor system performance, optimize costs, and ensure high availability and disaster recovery readiness.</li><li>Enforce cloud governance, security best practices, and compliance standards.</li><li>Troubleshoot infrastructure issues and provide operational support.</li><li>Document architecture, standards, and automation processes.</li></ul>
We are looking for an experienced Systems Engineer to join our team in Springfield, New Jersey. In this role, you will design, implement, and support advanced Supervisory Control and Data Acquisition (SCADA) systems, contributing to the development of system standards and specifications. You will collaborate with various teams to enhance system functionality, provide technical expertise, and ensure seamless operations.<br><br>Responsibilities:<br>• Design and develop SCADA systems, ensuring functionality aligns with system standards and specifications.<br>• Generate and review Engineering Change Requests (ECRs) to evaluate technical and economic benefits.<br>• Provide technical support to marketing and sales teams for quotations and other activities.<br>• Deliver customer training sessions both onsite and in the field.<br>• Act as a technical liaison to address customer issues and perform field services when required.<br>• Conduct engineering studies to address system challenges and new requirements.<br>• Assist System Test technicians with technical project-related issues.<br>• Create detailed documentation, including parts lists, system layouts, and interconnection drawings.<br>• Develop and program RTUs, gateways, and databases for system integration.<br>• Travel as necessary to support customer needs and project requirements.
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models.<br><br>Responsibilities:<br>• Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Troubleshoot and resolve system and data-related errors to maintain data quality and integrity.<br>• Collaborate with stakeholders to translate business requirements into efficient data solutions.<br>• Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies.<br>• Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability.<br>• Design and deploy machine learning models, integrating AI solutions into existing systems.<br>• Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance.<br>• Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows.<br>• Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables.<br>• Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
