Senior Data Analyst

Do you like working with data and analytics to evaluate AI models and their performance?

Do you love collaborating with teams to assess and improve generative AI solutions?

About our Team

Elsevier is singularly focused on helping healthcare professionals improve clinical outcomes through evidence-based care. Our generative AI team works on evaluating and implementing cutting-edge AI technologies to enhance our healthcare solutions while ensuring their safety, reliability, and compliance with healthcare standards.

About the Role

We are seeking a motivated individual to join our dynamic generative AI evaluation team. We focus on assessing and validating AI models that support healthcare decision-making tools. Our team ensures that our AI solutions meet rigorous standards for accuracy, fairness, and clinical relevance. The successful candidate will help evaluate model performance, analyze output quality, and ensure our AI solutions align with healthcare best practices.

The successful candidate has relevant experience with AI model evaluation, including performance metrics analysis, output validation, and data visualization. They enjoy collaborating with cross-functional teams including AI researchers, product managers, clinicians, and engineers to evaluate AI models, analyze their outputs, and improve their performance in healthcare contexts.

Responsibilities

Leading requirements gathering and development of analytics frameworks for evaluating generative AI models in healthcare applications

Leading and defining the strategic direction for AI evaluation methodologies in their product area

Managing the analytics roadmap for model evaluation. Collaborating with internal and external stakeholders to manage evaluation timelines and deliverables

Defining, developing, and deploying queries and metrics to assess AI model performance and output quality

Leading data model creation and maintenance for AI evaluation frameworks and monitoring systems

Conducting comprehensive QA of AI outputs and participating in risk analysis and mitigation

Understanding how security and privacy laws such as HIPAA affect AI deployment in healthcare. Understanding how to handle sensitive data including PHI and PII in AI contexts, We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Comprehensive, multi-carrier health plan benefits
• Disability insurance
• Dependent Care and Commuter Spending Accounts
• Life and Accident Insurance
• Retirement Benefits (Salary Investment Plan/Employer Stock Purchase Plan)
• Modern Family Benefits, including adoption and surrogacy

6-9 years of relevant experience in data analytics

Bachelor's degree required, Master's or PhD preferred in Mathematics/Science

Demonstrated thought leadership in analytics strategy and enterprise-wide project implementation

Have experience in a data analytics role

Have expertise in creating evaluation frameworks

Have expertise in using and querying relational database management systems such as Microsoft SQL Server, Snowflake or postgreSQL

Have expertise in using BI tools such as Tableau or PowerBI

Be able to demonstrate experience using Python for analysis

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. Join Us Purposeful Work When you work with us, your work matters. You are part of an organization that nurtures your curiosity to stimulate innovation for the communities that we serve. Growing Every Day Like the communities we serve, you are on a constant path of discovery to shape your career and personal development. Colleagues Who Care You will be part of the Elsevier family. We will support your well-being and provide the flexibility you need to thrive at work and home. Together, we create possibilities. Join us