We are looking for a skilled Data Scientist to join our team in Allentown, Pennsylvania, on a long-term contract basis. In this role, you will play a pivotal part in leveraging analytics to drive strategic initiatives, with a focus on predictive modeling and customer retention analysis. This position offers an exciting opportunity to work with a dynamic team and contribute to impactful projects within the healthcare industry.<br><br>Responsibilities:<br>• Design and deploy advanced machine learning models, including deep learning techniques when applicable.<br>• Lead the development and implementation of churn models to identify and address customer retention challenges.<br>• Analyze extensive datasets using R or Python to generate meaningful insights and solutions.<br>• Collaborate with analytics leaders and business stakeholders to define and execute data-driven strategies.<br>• Evaluate trends in physician practices and patient behaviors to support organizational goals.<br>• Work closely with engineers, analysts, and other data scientists to scale successful pilot projects into full implementations.<br>• Deliver actionable insights and recommendations to inform decisions by finance and operational teams.
<p>Are you ready to drive innovation and shape the future of data science through cutting-edge AI and cloud technologies? A leading company in the staffing industry is seeking a <strong>Data Scientist II</strong> with deep expertise in Azure AI Foundry, strong Python skills, and hands-on experience with Azure Fabric. This is your opportunity to join a high-impact team focused on generative AI, predictive modeling, and enterprise-scale data solutions.</p><p><br></p><p><strong>What You’ll Do:</strong></p><p><strong>Advanced Analytics & Machine Learning</strong></p><ul><li>Design and implement predictive models and machine learning solutions to solve complex business problems.</li><li>Utilize Python and ML frameworks (e.g., Scikit-learn, PyTorch, TensorFlow) to build and optimize models.</li><li>Collaborate with engineering teams to deploy models into production using Azure Fabric and other Microsoft cloud tools.</li><li>Conduct performance evaluations and refine models to ensure reliability and accuracy.</li></ul><p><strong>Generative AI & LLM Innovation</strong></p><ul><li>Develop and fine-tune large language models using Azure AI Foundry.</li><li>Apply advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and multi-agent orchestration.</li><li>Conduct benchmarking and human-in-the-loop testing to iteratively enhance LLM performance.</li><li>Lead research into LLM trends and integrate state-of-the-art methods into business applications.</li></ul><p><strong>Cloud & Data Strategy</strong></p><ul><li>Leverage Azure services including Azure Machine Learning, Azure Databricks, and Azure Data Lake for scalable model development and deployment.</li><li>Work with enterprise data teams to align ML solutions with broader data architecture and governance frameworks.</li><li>Build and scale secure, efficient data pipelines and AI agents using Azure Fabric and related services.</li></ul><p><strong>Cross-Functional Collaboration</strong></p><ul><li>Translate complex model outputs into actionable insights for business and product leaders.</li><li>Partner with stakeholders to identify opportunities where AI can create tangible business value.</li><li>Champion best practices in data science, MLOps, and responsible AI across the organization.</li></ul><p><br></p>
We are looking for an experienced Senior Data Scientist to join our Enterprise Data and Analytics team in Columbus, Ohio. This is a long-term contract position where you will apply your expertise in advanced analytics and machine learning to uncover meaningful insights and contribute to strategic decision-making processes. By leveraging cutting-edge tools and data-driven methodologies, you will play a key role in helping us better understand our customers and achieve organizational goals.<br><br>Responsibilities:<br>• Design and implement advanced analytical models to extract actionable insights from large and complex datasets.<br>• Conduct large-scale experiments and develop predictive models to address business challenges.<br>• Research and apply state-of-the-art techniques in machine learning, deep learning, and artificial intelligence.<br>• Define and refine requirements for training and evolving machine learning models and algorithms.<br>• Present data-driven recommendations to influence product teams and organizational strategies.<br>• Advocate for and implement best practices in analytics within cross-functional teams.<br>• Oversee the end-to-end model development process, including data sourcing, model selection, result presentation, and production deployment.<br>• Develop and maintain the organization's data infrastructure to support analytics and reporting.<br>• Create detailed reports and dashboards to assist senior leadership in decision-making processes.<br>• Stay updated on emerging technologies and tools in data science to enhance team capabilities.
We are looking for an experienced Business Analyst to join our team in King of Prussia, Pennsylvania. In this role, you will leverage your analytical expertise to drive business outcomes and deliver actionable insights that support organizational objectives. This is a long-term contract position, ideal for professionals who are adept at interpreting complex data and fostering collaboration across departments.<br><br>Responsibilities:<br>• Perform detailed analyses of business performance and identify opportunities for improvement through data-driven insights.<br>• Develop Key Data Elements (KDEs) and create tracking mechanisms for Key Performance Indicators (KPIs) to align with organizational objectives.<br>• Design and produce comprehensive reports that highlight factors contributing to financial and operational variances.<br>• Prepare and distribute recurring reports for stakeholders, ensuring all documentation includes clear specifications and instructions.<br>• Collaborate with cross-functional teams, including Technology, Operations, Legal, and Compliance, to drive business outcomes independently.<br>• Utilize advanced tools such as Microsoft Power BI and Databricks to enhance data visualization and reporting capabilities.<br>• Conduct gap analyses to identify discrepancies between current processes and business goals.<br>• Support Agile Scrum initiatives by contributing to business process improvements and requirement documentation.<br>• Execute other tasks as assigned by management to support broader business objectives.
<p>We are looking for an experienced Senior Technical Recruiter to join our team on a long-term contract. In this role, you will play a critical part in identifying, attracting, and hiring top talent for high-tech engineering roles. This position offers the opportunity to leverage your expertise in technical recruiting and applicant tracking systems to support business growth.</p><p><br></p><p>Responsibilities:</p><p>• Develop and execute innovative recruitment strategies to attract top-tier candidates for technical roles.</p><p>• Manage the full recruitment lifecycle, including sourcing, screening, interviewing, and onboarding candidates.</p><p>• Utilize platforms such as CareerBuilder and Workday to identify talent and maintain organized candidate pipelines.</p><p>• Build strong relationships with hiring managers to understand their staffing needs and provide tailored recruitment solutions.</p><p>• Conduct targeted outreach and cold calling to engage passive candidates and expand the candidate pool.</p><p>• Collaborate with cross-functional teams to ensure alignment on hiring goals and timelines.</p><p>• Stay current on industry trends and market conditions to effectively position job opportunities.</p><p>• Maintain accurate records in the applicant tracking system to ensure compliance and streamline recruitment processes.</p><p>• Provide guidance and feedback to candidates throughout the hiring process to enhance their experience.</p>
We are looking for a highly skilled Senior Machine Learning Engineer to join our team in King of Prussia, Pennsylvania. In this role, you will design and implement cutting-edge machine learning models and leverage your expertise to address complex data challenges. This position offers an exciting opportunity to work with advanced technologies and contribute to innovative solutions that drive business success.<br><br>Responsibilities:<br>• Develop and deploy machine learning models capable of generalizing across various use cases with minimal retraining.<br>• Apply techniques such as classification, clustering, regression, and ranking to solve critical business problems and uncover actionable insights.<br>• Prepare and analyze diverse datasets, ensuring proper data collection, cleaning, and modeling processes.<br>• Conduct feature engineering, selection, and rigorous testing of machine learning experiments to optimize model performance.<br>• Perform statistical analyses to refine model accuracy and validate test results.<br>• Continuously train and retrain models to improve their predictive capabilities over time.<br>• Enhance the precision and reliability of existing machine learning systems.<br>• Explore and implement new business applications for machine learning to maximize impact.<br>• Stay updated on emerging trends in the field and collaborate with the team to integrate innovative approaches.<br>• Recommend and execute improvements to the existing machine learning engineering infrastructure.
<p><strong>Description:</strong></p><p>We are seeking a talented and driven AI Engineer to join our cross-functional AI innovation team within a leading pharmaceutical organization. You will work on designing, developing, and deploying GenAI-driven solutions, retrieval-augmented generation (RAG) systems, and scalable ML-powered applications across cloud-native environments to support drug development, regulatory, manufacturing, and commercial operations. The ideal candidate combines a strong academic foundation in machine learning with hands-on experience building real-world AI systems and full-stack applications that comply with the high standards of a regulated industry.</p><p><br></p><p> <strong>Essential Functions:</strong></p><ul><li>Design and implement GenAI applications including LLM-integrated tools, RAG systems, and intelligent chatbots tailored for pharmaceutical functions such as R& D knowledge mining, regulatory intelligence, and medical information services.</li><li>Build and optimize data ingestion, transformation, and semantic search pipelines using domain-specific embedding models (e.g., BioBERT, Ada-002).</li><li>Develop and containerize AI services using FastAPI, Docker, and Kubernetes, deployed on AWS or GCP, ensuring adherence to data privacy and compliance standards (e.g., HIPAA, GxP).</li><li>Collaborate with product, data, and platform engineering teams to integrate AI features into validated systems supporting clinical, quality, and manufacturing workflows.</li><li>Contribute to end-to-end MLOps: model experimentation, deployment pipelines, audit readiness, monitoring, and performance tuning.</li><li>Engineer full-stack applications (React + REST/GraphQL backends) with role-based access controls for internal and external scientific and business users.</li><li>Support internal research and POCs on advanced topics like LLM reasoning, adverse event detection, pharmacovigilance, and digital biomarker analysis.</li></ul><p><br></p>
