Associate principal/principal

Pharma ACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational Bio Pharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Center of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno- science, CNS, CV-Met, and Rare Diseases. We support our clients' needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. Role Overview: We are seeking a highly skilled and forward-thinking Advanced Analytics Consultant with a strong foundation in AI/ML integration to lead the design and deployment of intelligent, data-driven solutions. This role will work at the intersection of business strategy, advanced data modeling, and artificial intelligence to drive measurable outcomes for clients in the pharmaceutical, life sciences, or broader commercial domain. Responsibilities: AI-Enabled Analytics & Modeling Lead the development and implementation of AI and machine learning models to solve complex business problems such as segmentation, churn prediction, targeting optimization, and personalization. Evaluate multiple AI/ML techniques (e.g., supervised/unsupervised learning, NLP, deep learning) to determine the most effective approach. Create scalable, production-ready solutions that integrate with business processes. Data Management & Exploration Work with large, diverse datasets, including structured and unstructured data from internal and third-party sources (e.g., Rx, patient-level, longitudinal, sales, CRM). Perform exploratory data analysis (EDA), feature engineering, and data cleansing to prepare inputs for modeling. Identify and address biases or imbalances in data that may affect model performance in real-world deployment. Business Consulting & Strategy Integration Translate analytical outcomes into clear business recommendations and work closely with cross-functional teams to implement solutions. Partner with business leaders to identify high-impact opportunities where AI can add value. Develop strategic roadmaps for AI adoption and integration within client organizations. Visualization & Communication Build interactive dashboards and visualization tools using Power BI, Tableau, or equivalent platforms to showcase model results and insights. Communicate technical concepts and model outputs to non-technical stakeholders in a compelling and actionable format. Create data-driven stories using strong presentation and storytelling skills. Innovation & Continuous Improvement Stay current with the latest AI, machine learning, and data science trends and incorporate relevant innovations into client solutions. Explore new data sources and modeling techniques to enhance model performance and insight generation. Qualifications & Experience Bachelor’s or Master’s in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related field. 12+ years of experience in data analytics, with 3+ years in AI/ML model development and deployment. Prior experience in pharma/life sciences is highly preferred but not mandatory. Experience working with cross-functional stakeholders in a consulting or strategic analytics capacity. Technical Skills: Proficient in Python , R , or SQL for data wrangling and model development. Experience with machine learning libraries (e.g., scikit-learn, Tensor Flow, Py Torch). Familiar with cloud-based AI platforms (e.g., AWS Sagemaker, Azure ML, Google Vertex AI). Hands-on with Power BI , Tableau , or other visualization tools. Strong Excel and Power Point skills for executive reporting. Core Competencies Strong problem-solving skills with the ability to simplify complex problems. Solid understanding of AI model lifecycles from design to monitoring. Excellent communication and stakeholder management skills. High attention to detail and data integrity. Ability to work independently and collaboratively in a dynamic environment. Preferred Attributes Entrepreneurial and innovative mindset with a curiosity for emerging technologies. Experience working in regulated industries with data privacy compliance (e.g., HIPAA, GDPR). Passion for learning and applying AI to real-world business challenges.