Senior Python Data Science Jobs in Trumbull, CT (NOW HIRING)

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Position Summary We are seeking a strategic and analytically driven professional to support Medical Affairs through advanced analytics, insight generation, and data-informed decision making. This individual will play a key role in transforming complex data into actionable business insights that support launch readiness, engagement strategy, and overall Medical Affairs effectiveness. The ideal candidate combines strong analytical and technical expertise with the ability to communicate findings in a compelling and impactful way to cross-functional stakeholders

Key Responsibilities Insights Analysis Analyze insights collected across Medical Affairs data sources to identify trends, patterns, and stakeholder sentiment. Synthesize findings into actionable recommendations that support strategic decision-making across cross-functional teams. Deliver clear and concise reporting to support business objectives and organizational priorities.

Strategic Storytelling & Communication Present insights, business impact, and strategic recommendations in a compelling, story-driven format to key stakeholders and leadership teams. Translate complex analytical findings into meaningful business narratives that influence decision-making. Data-Informed Strategy & Analytics Support Medical Affairs teams with data, tools, and analytical models that inform prioritization, planning, and engagement strategy.

Conduct ad hoc analyses to support launch preparation, strategic planning, channel engagement optimization, and Medical Expert (ME) identification and segmentation. Contribute to initiatives that enable successful product launches and ongoing business performance optimization. Metrics & Impact Tracking Track, measure, and report Medical Affairs metrics and performance against established targets.

Develop and define innovative approaches for measuring impact and business value. Identify trends and performance gaps requiring strategic course correction or optimization. Cross-Functional Collaboration Partner closely with Medical Affairs stakeholders to understand business needs and develop analytical capabilities that support organizational goals.

Collaborate with IT and other cross-functional teams on infrastructure, systems, tools, models, and reporting capabilities. Requirements Gathering & Process Support Work closely with IT teams to translate business requirements into clear, concise user stories and technical requirements. Support the development and enhancement of scalable analytics solutions and processes.

Dashboard Development & Reporting Partner with IT and technical teams to develop automated, real-time dashboards integrating multiple data sources to support insight generation and impact assessment. Ensure reporting tools provide meaningful, user-friendly visibility into Medical Affairs performance metrics. Therapeutic Area & Market Knowledge Develop and maintain expertise in relevant therapeutic areas, including respiratory disease states, as well as knowledge of Insmed and competitor products to support accurate interpretation of data and market insights.

Launch Planning Support Provide analytics, insights, and strategic support related to product launch planning and execution. Qualifications Bachelor's or Master's degree in Data Science, Analytics, Business Analytics, Statistics, Computer Science, or a related quantitative field required. Advanced degree preferred (MBA, MS, PhD), or Life Sciences qualification (e.g., PharmD) combined with strong analytics and data experience

Experience supporting Medical Affairs analytics, insights generation, and launch-related initiatives within the pharmaceutical or biotechnology industry preferred. Strong experience with SQL, Qlik, Snowflake, Python, and advanced Excel required. Experience developing dashboards, reporting solutions, and analytical models using multiple data sources.

Strong business acumen with the ability to communicate analytical findings to both technical and non-technical audiences. Proven ability to work collaboratively across cross-functional teams in a fast-paced environment. Excellent presentation, communication, and storytelling skills with the ability to influence stakeholders and drive strategic discussions.