\\\\Introduction\\\\ At IBM Research, we are the innovation engine of IBM. Exploring whats next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. Youll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world. \\\\Your role and responsibilities\\\\ As a Data Scientist specializing in Data Modeling, you will develop models, analysis, and domain-specific content for offerings, leveraging your knowledge of data tools, statistics, machine learning, and advanced math. You will apply your skills to drive business value and influence organizational approaches to business challenges. Your primary responsibilities will include: Develop Statistical Models: Build and deploy statistical models to extract insights from multiple disparate data sources, exploring and examining data to discover previously hidden insights that can provide a competitive advantage or address pressing business problems. Analyze and Interpret Data: Extract, transform, and combine data to inform conclusions and recommendations, applying data manipulation and machine learning techniques to identify trends and patterns. Communicate Insights: Effectively communicate findings to both business and IT leaders, influencing organizational approaches to business challenges and providing actionable recommendations. Identify Business Opportunities: Pick the right problems to solve, prioritizing those with the most value to the organization, and deploying analytics solutions to realize business value. Explore and Examine Data: Continuously explore and examine data from multiple sources, questioning existing assumptions and processes, and performing what if analysis to inform business decisions. \\\\Required technical and professional expertise\\\\ Specialist degree in fields such as BME, CS Data Tools Knowledge: Experience with data tools, including data manipulation and machine learning techniques, to extract insights from multiple disparate data sources. Statistical Modeling: Exposure to statistical modeling, including building and deploying statistical models to inform conclusions and recommendations. Advanced Math: Experience working with advanced math concepts, including data analysis and interpretation, to identify trends and patterns. Machine Learning: Exposure to machine learning techniques, including applying machine learning to extract insights from data and inform business decisions. Data Analysis: Experience with data analysis, including extracting, transforming, and combining data to inform conclusions and recommendations. \\\\Preferred technical and professional experience\\\\ Computer Science Foundations: Exposure to computer science concepts, including applications and modeling, to support data analysis and interpretation. Operations Research Knowledge: Experience working with operations research principles, including data manipulation and statistical modeling, to inform business decisions. Domain-Specific Content Development: Exposure to developing domain-specific content for offerings, leveraging data tools and machine learning techniques to drive business value. 3+ year experience working in a Biomedical Research environment at the intersection of biomedical research and AI is a plus IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

The role requires experience with data tools, including data manipulation and machine learning techniques, to extract insights from multiple disparate data sources. Exposure to statistical modeling is necessary for building and deploying models to inform conclusions and recommendations. Candidates should have experience working with advanced math concepts for data analysis and interpretation to identify trends and patterns. Exposure to machine learning techniques is also required for extracting insights and informing business decisions. Experience with data analysis, including extracting, transforming, and combining data, is essential. A specialist degree in fields such as BME or CS is required.