2 Real-World Data Jobs

The Senior Specialist, Global Commercial Pharma Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing global brand lead's business questions to inform pharma pipeline investments and beyond G7 investments. Furthermore, the team member will partner closely with global marketing, regional marketing, clinical and discovery, finance & enterprise strategy teams to inform executive decision making through analytics support for clinical development, business development and alliances/partnerships decisions. The team member will partner closely with our pipeline forecasting capabilities by leveraging real world, market research and financial data. The team member will help establish a set of analytics capabilities anchored to our early commercial marketing framework to shape franchise strategy and proactively connect the dots across HHDDA cross functional teams. The Sr Specialist will also be responsible to support concrete recommendations and communicate on-going risk/benefit against standardized commercial metrics. Reporting to the Director of Global Commercial Pipeline Analytics within HHDDA, this role will lead development of analytics capabilities for the pharma pipeline in the assigned therapeutic areas, which may include infectious diseases, neurosciences, cardiovascular and/or ophthalmology disease areas. In addition, this role will also be responsible for embedding enterprise go to market strategy in early commercial strategy - for beyond G7 investments. The successful candidate will partner closely across HHDDA capability functions like market research, forecasting, payer insights & analytics and data strategy & solutions. Primary Responsibilities: Global Commercial pipeline Analytics: Develop commercial insights solutions, business cases and market evaluation to support decision making for the pharma pipeline and business development, utilizing deep data driven analytics. Stakeholder Collaboration: Partner with global marketing teams, operations and clinical to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency: Provide global marketing teams, and governance committees, transparency, and commercial insights on pipeline portfolio on topics related to market dynamics, competitive insights, patient journeys, access considerations amongst others. Analytics and Benchmarking: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform pipeline development choices. Provide critical insights to leaders for communication on human health portfolio, early pipeline commercial forecasts and related business drivers. Required Experience and Skills: Bachelor's degree, preferably in a scientific, engineering, or business-related field. Minimum of 7+ years experience working with Life Sciences companies with 3+ years of experience in marketing, clinical development, advanced analytics, asset portfolio management, strategic planning, insights syndication or related roles within the pharmaceutical or biotechnology industry Strategic thinker who can be consultative and engage as equals. Strong communication skills using effective story-telling grounded on data insights. Ability to execute solution approaches complex and ambiguous business problems. Understanding of Real-world data assets and commercial pharma data ecosystem Strong communication and presentation skills, with the ability to effectively communicate complex concepts to both internal and external stakeholders. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Preferred Experience and Skills: Experience in healthcare data, insights, and analytics Experience in Life Science or consulting industry Advanced degree (eg, MBA, PharmD, PhD) preferred. Therapeutic area experience in cardiovascular & metabolic diseases preferred. Global experience preferred. Required Skills: Business Insights, Claims Analysis, Claims Data, Data Science, Data Visualization, Machine Learning, Marketing Insights, Neuroimmunology, Neurology, Neuropsychiatry, Pharmaceutical Industry, Python (Programming Language), Real World Data, Structured Query Language (SQL) Preferred Skills: Data Analysis, Data Insights, Strategic Insights, Teamwork

What you will do Lets do this. Lets change the world. In this vital role you will Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Design data quality enhancements Represent the programming function and participate in multidisciplinary project team meetings Project manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Write and/or review and approve analysis dataset specifications Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc. Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications Write, test, validate and complete department-, product- and protocol-level macros and utilities Be responsible for the work of outsourced resources assigned to project Lead and/or participate in the development and review of CfOR Policies, SOPs and other controlled documents Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization What we expect of you We are all different, yet we all use our unique contributions to serve patients. This crucial role involves leading a team of senior statistical programmers who will generate Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. This lead programming role will collaborate with teams across multiple time zones to oversee request fulfillment, clarify requirements, track projects, resolve issues, and deliver high-quality results. The Biostatistical Programming Manager will report to a locally based Director of Biostatistical Programming. The Biostatistical Programming Manager will be responsible for both hands-on programming as well as guiding junior programmers. Additionally, they will be responsible for manipulating large databases and generating reports to enable epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelors degree and have at least six years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential Basic Qualifications: Bachelors degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject. At least 68 years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting Preferred Qualifications: Masters degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience: Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials Team management Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Statistical programming: SAS and SQL required; R and Python preferred Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming and lead role Expert statistical programming knowledge using SAS or R Required: SAS Required: SQL Required: Experience with data quality or data quality platforms (for example: Informatica, Ataccama) Preferred: Python Preferred: R Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Drug development life cycle Statistics and basic epidemiology: Incidence and prevalence Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail