Senior Scientific Research Analyst, Scientometrics, US Federal

Digital Science - New York, NY

Full-time - Senior

New York, NY

About the position

The Senior Scientific Research Analyst will lead analytical support for US federal government and funding organizations, utilizing the Dimensions platform to empower data-driven decision-making in scientific research funding and evaluation. This role involves collaborating with a dynamic team to deliver exceptional service to clients, ensuring they can effectively use data and tools to inform their research investments.

Responsibilities

• Lead analytical support for US federal government and funding organizations.
• Help leaders use tools and analyze data for scientific research funding decisions.
• Support customers in the responsible use of data for funding decisions.
• Demonstrate the use of publication metrics and data to evaluate research impact.
• Monitor and evaluate scientific research landscapes for program staff and thought leaders.
• Manage delivery of the Dimensions product and analytical support across the team.
• Expand skills in machine learning, bibliometrics, and data visualization techniques.
• Provide implementation, training, and ongoing support for Dimensions tools and services.
• Understand client business needs and match them to Dimensions data and tools.
• Answer questions and provide advice on Dimensions offerings.
• Develop and maintain lasting client relationships.

Requirements

• Understanding of the Science & Technology ecosystem including scientific research funding.
• Knowledge and interest in bibliometrics, scientometrics, research assessment, and science policy.
• Expertise in data analytics and visualizations using SQL and Python.
• Experience in managing analysis and support tasks.
• Expertise in research data including author and institutional disambiguation.
• Experience in creating and presenting interactive training for online tools.
• Experience in supporting teams to create Boolean searches for research topics.
• Experience in creating data visualizations using tools like Plotly and matplotlib.
• Experience querying databases via SQL.
• Experience in scholarly communications, research evaluation, or science policy.
• Strong communication skills for varied audiences.

Nice-to-haves

• Experience working in or engaging with biomedical or national security-relevant technology research communities.
• Demonstrated experience in building and maintaining customer relationships in a collaborative environment.

Benefits

• Diversity and inclusion initiatives
• Professional development opportunities
• Flexible working environment
• Remote work options