Data Scientist, Medical Analytics, Care Gaps, Customer Segmentation

Responsibilities Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input. Support team Product Manager in strategic and tactical planning with regards to medical analyses. Collaborate with team Product manager to communicate generated insights. Prepare and maintain datasets for on‑going analytical needs in collaboration with data engineers. Flag data issues to data engineers and advise on required resolution. Develop integrated care gaps analyses planning including data input required. Create asset‑specific HCP segments, maps, and prioritizations across multiple dimensions including care gaps, to guide channel mix/activation, content creation, and MSL activity in Anchor countries. Ensure visualization / insights generation from data is easily accessible and understandable for users. Requirements Degree in Data Sciences, or Computer Sciences, Statistics, Clinical Informatics or similar. Relevant certification & or work experience in data engineering. Experience (6+ years with Bachelors; 5+ with Masters; 1+ with PHD) in data sciences, notably in the healthcare sector. Proven influencing skills. Strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders. Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, promotional, patient/consumer, regulatory, and media. In depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, issue management and business development opportunity evaluations. #J-18808-Ljbffr Jobtailor