Putnam Associates LLC
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The Strategic Product Manager will oversee the development of healthcare products, translating strategic objectives into roadmaps, building business cases, engaging stakeholders, designing workflows, and collaborating with cross-functional teams, including UX. They will also analyze data, develop dashboards, research market trends, and manage project timelines to ensure successful product delivery.
The Operations Associate plays a critical role in resource management and project staffing, driving operational excellence at Putnam. Responsibilities include updating project workloads in Financial Force, managing schedules, assisting with administration, maintaining data integrity, and supporting people operations like onboarding and PTO management.
Lead a team of data scientists in developing advanced data science and generative AI solutions. Oversee data strategy, algorithm development, and model creation while analyzing healthcare data to generate insights and drive innovative strategies, working closely with stakeholders.
The Manager HEOR is responsible for providing advanced business solutions in Health Economics and Outcomes Research, focusing on pharmacoeconomic modeling and HTA submissions. This role requires strong project management skills, excellent communication abilities, and the capability to work in a demanding team environment, managing multiple clients and projects.
Summer Associates will assist with casework, conducting primary and secondary research, analyzing data, and developing client presentations in a project team setting. This internship provides exposure to consulting within the pharmaceutical and healthcare industries.
As an Associate Consultant at Putnam, you will join engagement teams addressing strategic issues in the life sciences sector. Responsibilities include analyzing market data, driving strategic conclusions, and aiding in client recommendations. Associates will work an average of 55-60 hours weekly with minimal travel requirements.
As a Data Scientist II at Putnam, you will lead a team to solve analytical problems for clients in the pharmaceutical and biotechnology sectors. Responsibilities include managing analytical workstreams, coaching junior team members, and synthesizing analyses into actionable recommendations. You will work extensively with big data, statistical testing, machine learning, and data visualization tools.
As a Life Sciences Consultant, you will work with clients to identify problems, develop hypotheses, structure complex strategic issues, and lead the team in summarizing analyses for client recommendations. You will leverage your scientific training to optimize commercial strategies and assist in delivering findings in presentations.
As a Data Engineer, you will design, implement, and maintain data infrastructure and pipelines, translating business requirements into analytics solutions. You'll collaborate with teams to enhance enterprise data platforms, ensuring data accuracy and performance of ETL processes within an Agile framework.