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Hybrid Senior Research Analyst

at Digital Science
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Posted last week

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About the role

  • SCRa Analytical and Research Support (60%)
  • Liaison: Act as the primary on-site liaison between SCRa member institutions and Digital Science’s Academic Engagement and Product teams.
  • Data Delivery: Provide analytical and data support to SCRa and participating institutions, including reports, data extracts, and visualizations based on Dimensions Research Security.
  • Research Evaluation: Support research evaluation, landscape analysis, and benchmarking activities across portfolios, institutions, and research domains.
  • Methodology Development: Develop, test, and refine Boolean search strategies and methodologies for representing research topics and emerging fields.
  • Data Expertise: Maintain deep knowledge of Dimensions’ linked datasets (publications, grants, patents, policy, etc.) and their use in research security, strategy, and evaluation.
  • Collaboration: Collaborate with SCRa and Digital Science colleagues to identify key metrics, trends, and opportunities in the regional research ecosystem.
  • Engagement, Training, and Implementation (40%)
  • Lead Training: Lead training sessions, workshops, and onboarding programs for Dimensions users.
  • Feedback Loop: Capture and synthesize user feedback to inform product improvements and future engagement strategy.
  • Outreach: Promote awareness of new features, best practices, and responsible data use across the regional research community.
  • Engagement: Support the broader Digital Science Academic Engagement team in coordinating renewal, upsell, and satisfaction initiatives.

Requirements

  • Analytical Background: 3+ years of experience in research analytics, evaluation, bibliometrics, science policy, or related fields.
  • Domain Knowledge: Strong understanding of the research and innovation ecosystem, including funders, research institutions, and government organizations.
  • Data & Presentation: Proficiency in research data (publications, grants, patents) and familiarity with data visualization tools (e.g., Plotly, Tableau, matplotlib).
  • Training & Communication: Proven experience designing and delivering interactive training and engagement sessions. Excellent written and verbal communication skills with demonstrated capacity for empathetic, customer-focused interaction.
  • Project Management: Ability to manage multiple projects and stakeholders across institutions in a collaborative environment.
  • Autonomy: Comfort working independently, with minimal supervision, in both on-site and remote settings.
  • Preferred Qualifications
  • Security Context: Experience supporting or analyzing national security-relevant research programs or sensitive data environments.
  • Compliance: Understanding of federal research compliance frameworks and research integrity principles.
  • Regional Expertise: Experience working with or within academic consortia or state-level research networks.
  • Platform Familiarity: Familiarity with Dimensions, Altmetric, or similar research intelligence platforms is highly desirable.
  • The following are highly desirable:
  • Familiarity with research intelligence platforms (e.g., Dimensions, Altmetric).
  • Experience with a coding or query language (e.g., Python, R, SQL).
  • Familiarity with data science environments and version control (e.g., Jupyter Notebooks, R Studio, VS Code, Git).

Benefits

  • We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective.
  • The talent we secure is fundamental to us achieving our vision and our growth plans. The values we live by are:
  • We are brave in the pursuit of better
  • We are collaborative and inclusive
  • We are always open-minded
  • We are from and for the community
  • At Digital Science, our vision is to see research flow seamlessly – trusted, collaborative, and accessible – fueling breakthroughs that push humanity forward. This ambitious mission is one we achieve together, by enabling open, collaborative, inclusive research.
  • We firmly believe that to truly innovate and solve the complex challenges faced by our customers, from researchers and universities to funders and publishers, we need diverse perspectives, experiences, and ideas. A rich mix of voices drives quality insights, fosters enhanced collaboration, and ultimately pushes knowledge forward more effectively.
  • As an equal opportunity employer, we are committed to building and nurturing a workplace where every individual feels valued and belongs. All applicants will be considered for employment without attention to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Beyond recruitment, we strive to cultivate an environment where inclusivity is woven into the fabric of our culture, enabling everyone to be their best self and do their best work.

Job title

Senior Research Analyst

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

PythonSQLTableau

Location requirements

HybridColumbiaUnited States

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