Top Hybrid Data & Analytics Jobs in Boston, MA
As a Senior Scientist in GPCR Pharmacology at Pfizer, you will lead in vitro studies to explore molecular pharmacology and develop novel therapeutic targets related to metabolic diseases. You will engage in research collaboration, mentoring junior scientists, and advancing drug discovery efforts through innovative strategies and scientific findings.
The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.
The R&D Head for Digital, Data, and Technology at Takeda leads the integration of AI, data, and digital technologies across R&D. This role focuses on enhancing the speed and quality of discovering, developing, and delivering innovative medicines, and manages the digital transformation efforts company-wide.
As an Associate Director in Advanced Analytics, you will lead the execution of the advanced analytics strategy for Takeda's Oncology Business Unit, focusing on data-driven decision-making to support commercial growth. Your role involves designing and executing key analytics, developing standardized frameworks, and engaging effectively with business users, all while leveraging advanced data science methodologies and analytics tools.
The Associate Director of Launch Analytics will lead a team to analyze market data, synthesize strategic insights for new product launches, and provide guidance on marketing and sales strategies. Responsibilities include managing analytics projects, developing business insights, and collaborating with cross-functional teams to enhance marketing effectiveness.
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The Data Analyst will provide analytical support across departments, running database queries, creating business intelligence dashboards, and programming tools using Python, Java, or R. Responsibilities include project analysis for clients, refining business data, and enhancing internal tools for efficiency.
As an AI & GenAI Data Scientist-Manager at PwC, you will lead data-driven projects, leveraging advanced analytics and AI solutions to optimize business operations. Responsibilities include managing development teams, collaborating with clients to address their business needs, and mentoring team members while upholding professional standards.
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The Senior BSA Analyst aids in implementing the Bank Secrecy Act Compliance Program by establishing procedures, training staff, and monitoring activities. They perform quality control reviews, assess compliance with AML regulations, and document all compliance efforts while conducting investigations on suspicious transactions and providing guidance to junior analysts.
The Senior Director of Technical Program Management will oversee strategic initiatives in the Enterprise Data and Machine Learning division, optimizing data management and driving innovation through complex technical projects. The role involves aligning cross-functional teams, ensuring successful delivery of data-driven solutions, and fostering a strong TPM discipline within the organization.
As a Product Analyst in Claims Analytics, you will gather and articulate product requirements, work with cross-functional teams, participate in Agile ceremonies, and ensure strategic alignment. Your role will focus on developing new product features and creating effective onboarding experiences for customers.
The Data Analytics Consultant, Claims role involves designing and analyzing organizational data, performing complex modeling, and providing business insights. The consultant builds dashboards and reports, monitors trends, and collaborates with analytical teams. They also identify IT solutions for analytics and respond to data requests, all under moderate guidance.
The Employee Listening Lead will co-design and manage Klaviyo's employee listening and survey strategy, analyze survey data using advanced analytics techniques, manage survey operations, and translate data into actionable insights to improve employee experience.
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