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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Director, Commercial Data Science - **Company:** Cytokinetics, Incorporated - **Location:** Radnor, PA, United States - **Experience:** Expert - **Salary:** $220,500.0 - $257,250.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Cloud Computing, Continuous Integration, Data Governance, Data Presentation, Monitoring of Systems, Python (Programming Language), Machine Learning, Recommender Systems, Power BI, Software Deployment, SQL Databases, Tableau (Software), Web Analytics, Feature Engineering, Large Language Models, Generative AI, Jupyter, Data Strategy, Information Technology, Machine Learning Operations - **Published:** October 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/associate-director-commercial-data-science-radnor-pa--98dd011b-ed5b-479c-94d5-08ded06c8f19 ## About the Role Data Science, Disease, Biology, Cardiovascular, Medical Products, Cardiology, Marketing, Data Science, Patient Care, Finance, This role blends technical depth, business acumen, and the ability to communicate insights effectively to executive and other non-technical audiences. The ideal candidate has a strong background in building scalable advanced analytics and predictive models, analyzing market trends and the competitive landscape, and partnering closely across the insights, data, and IT teams to uncover opportunities that create further value for patients., * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field with 7+ years of hands-on experience in Data Science, Machine Learning, Advanced Analytics, and/or related disciplines. Alternatively, a Bachelor's degree in the above fields with 10+ years of similar hands-on experience. * Deep expertise in statistical and predictive modeling, machine learning, causal inference, and experimentation and measurement * Expertise in promotional effectiveness, marketing mix modeling (MMM), multi-touch attribution (MTA), digital and web analytics, A/B testing, and media performance analysis * Strong proficiency in Python, SQL, and statistical analysis, with experience working in cloud-based notebook environments (e.g., Jupyter) on large-scale health care datasets * Track record of deploying and monitoring ML models in production to address commercial use cases * Working proficiency with BI tools such as Tableau or Power BI to translate analytical outputs into actionable dashboards for executive and business audiences * Broad domain knowledge of pharmaceutical commercial functions (e.g., marketing, sales, market access, patient services) and the data and technology environments that support them * Excellent communication and interpersonal skills with the ability to influence cross-functional and executive stakeholders through data-driven storytelling * Demonstrated success driving cross-functional initiatives from ideation through production, * Experience with Machine Learning Operations (MLOps) tools and practices (e.g., CI/CD, experiment tracking, and model monitoring) to maintain model stability and scalability. * Experience with Generative AI/LLM and agentic models. #LI-HYBRID ## Description Business Partnership & Problem Framing * Act as a strategic partner to internal stakeholders by framing key business questions as tractable analytical problems that align to brand objectives. * Partner cross-functionally to understand commercial strategies, prioritize use cases by expected business impact, and translate business needs into data science and AI solutions. Business, Market & Performance Insights * Analyze business performance and market data from industry (e.g., anonymized longitudinal patient claims data, remittance claims, payer policy and lives data) and internal (e.g., field and digital customer interactions, sales data) sources to answer key business questions, identify trends, and proactively uncover optimization opportunities across in-line and pre-launch brands. Machine Learning, Measurement & Advanced Analytics * Design, build, and deploy supervised and unsupervised ML models, including classification, regression, time-series, clustering, and causal/uplift modeling, taking solutions from feature engineering through validation, production deployment, and monitoring. * Design and analyze measurement studies and experiments (e.g., A/B and holdout tests, incrementality) and apply ML and other predictive capabilities to marketing mix models to improve investment decisions and optimize spend across channels. Patient & Customer Analytics * Conduct patient analytics using real-world data (RWD) sources such as anonymized longitudinal patient claims and lab/diagnostic testing data to characterize patient populations, treatment patterns, and unmet needs. * Analyze patient journeys (e.g., diagnosis, referral, treatment initiation, and persistence) to identify trends and to predict and size performance opportunities and gaps. * Develop recommender systems to target commercial action based on patient and HCP data. * Develop predictive models to anticipate customer needs, improve customer experience, and optimize promotional efforts across field and digital channels (e.g., segmentation, targeting, and next-best-action). Insight Delivery & Automation * Partner with BI and IT teams to design intuitive dashboards and self-service tools, standardize metrics, consolidate redundant reports, and automate recurring reporting and analytics so insights reach stakeholders at scale. * Partner with internal data strategy and data governance to ensure consistency and standardization in metric definition and use through approved data foundations. Ensure metric understanding with key stakeholders and be a steward for best practices in standardization and governance. Communication & Influence * Translate analytical results into compelling narratives and recommendations that earn stakeholder buy-in and drive action on data-driven initiatives. * Communicate complex technical concepts tailored to a wide variety of partners including marketing, sales, market access, finance, and legal/compliance.