6 Patient Data Jobs

Role & responsibilities Drive business requirements sessions and workshops Have extensive experience in working on Digital data sets, personal and non-personal promotional channels within Pharma Industry Have had extensive experience in working on patient level datasets (IQVIA, Patient Support Services, Specialty Pharmacy, Liquid Hub/ Data Unveil, Optum/ DRG Claims, APLD, LAAD, Patient Hub etc.) Hands on experience in analysing IMS data (patient insights, MIDAS) as well as syndicated reports and datasets (DRG, DataMonitor, Datavant, Evaluate Pharma, Kantar health etc.) Have had extensive experience in working on Pharma Sales Commercial level datasets (IQVIA, Symphony, Veeva, Customer Master,...

As a Data Scientist at EbizON, you will be responsible for analyzing complex datasets, developing data-driven models, and generating actionable insights to support strategic decision-making. You will collaborate with cross-functional teams to design and implement predictive models and machine learning solutions. The ideal candidate for this role is highly analytical, detail-oriented, and passionate about leveraging data to drive innovation and business growth. Key Responsibilities: - Data Modeling & Analysis: Design and develop models to analyze speech, text, and interaction data, including preprocessing pipelines, feature engineering, and outcome evaluation. - Machine Learning Implementatio...

As a Document Anonymisation Lead at GSK, you will be responsible for leading activities that support ethical and transparent sharing of clinical research data. Your role will involve working closely with cross-functional teams and external partners to prepare, anonymise, review, and deliver clinical documents on time. Your contribution is vital in ensuring alignment with regulations, maintaining quality, and meeting organizational expectations. Your role offers clear career development opportunities and the chance to make a meaningful impact on public trust in research. Key Responsibilities: - Work closely with senior clinical data transparency leadership to align processes with regulations....

As an experienced professional with 2-6 years of experience in the Pharma industry, you will play a crucial role in partnering with the Clients Analytics team to identify, scope, and execute analytics efforts that address business questions, meet business needs, and enhance business value. Your responsibilities will include: - Maintaining a comprehensive understanding of pharmaceutical sales, marketing, and operations to develop analytical solutions in these areas. - Managing reporting activities and creating analytics-based reports to offer valuable business insights to clients. - Communicating with stakeholders from different functions regularly to grasp business requirements effectively. ...

Role Overview: As a Data Scientist at EbizON, you will be responsible for analyzing complex datasets, developing data-driven models, and generating actionable insights to support strategic decision-making. You will collaborate with cross-functional teams to design and implement predictive models and machine learning solutions. The ideal candidate for this role is highly analytical, detail-oriented, and passionate about leveraging data to drive innovation and business growth. Key Responsibilities: - Data Modeling & Analysis: Design and develop models to analyze speech, text, and interaction data, including preprocessing pipelines, feature engineering, and outcome evaluation. - Machine Learnin...

Have had extensive experience in working on Patient level datasets (IQVIA, Patient Support Services, Specialty Pharmacy, Liquid Hub/ Data Unveil, Optum/ DRG Claims, APLD, LAAD, Patient Hub etc.) Hands on experience in analysing IMS data (patient insights, MIDAS) as well as syndicated reports and datasets (DRG, DataMonitor, Datavant, Evaluate Pharma, Kantar health etc.) Exposure on SGDW (Sales force health cloud admin) and sales commercial master data sets such as customer (HCO/HCP/ Payer), Product, etc. Have fair understanding of Patient data processing within HIPAA environment, such as Patient data aggregation, tokenization, etc. Have had good client facing roles to cover business requireme...