Finance Portfolio Analytics Analyst

GlaxoSmithKline; United States; Hybrid; USD 90,000 - 130,000; Full time

Job summary

GlaxoSmithKline is seeking a Finance Portfolio Analytics Analyst to drive modeling, forecasting and analytics for R&D investments. You will build financial and operational models, create dashboards and support strategic analyses by integrating data across scientific, clinical, financial and operational sources.

You will work closely with senior leaders to grow portfolio analytics expertise in a high‑visibility environment, developing ownership of analyses over time and contributing to informed

Qualifications

• Bachelor’s degree in a quantitative field (engineering, CS, math, econ, OR or finance) or life sciences with quantitative experience.
• 2+ years in financial/operational modelling, data analysis, analytics or forecasting.
• 2+ years coding in Python, R or SQL with exposure to data science app frameworks (Shiny/Streamlit/Dash).
• Experience turning data into clear, actionable insights and recommendations.
• Pharma/biotech exposure preferred; cross‑functional collaboration.

Responsibilities

• Build, populate and maintain financial and valuation models (e.g., NPV/rNPV).
• Gather, clean and structure data from scientific, clinical, financial and operational sources.
• Develop probabilistic and Monte Carlo simulations and other quantitative analyses.
• Maintain portfolio forecasts, metrics, milestones and KPI tracking; flag variances.
• Build and maintain dashboards and decision materials for reviews.
• Communicate results clearly to non‑technical stakeholders; collaborate across teams.

Skills

Analytical thinking

Problem solving

Statistical methods

Statistical programming

Communication

Education

Bachelor’s degree in a quantitative field or life sciences with quantitative experience

Tools

Shiny

Streamlit

Dash

Job description

At GSK we unite science, technology and talent to get ahead of disease together. Deciding which R&D projects to invest in - and how to sequence, resource and prioritise them - is one of the most consequential judgements we make. The Portfolio Data Science team turns scientific, clinical, operational and financial inputs into the analysis and insight that guide those investment decisions across short-, medium- and long-range horizons.

Position Summary

Reporting to the Head, Data Science, Analytics, and AI, the Finance Portfolio Analytics Analyst is the hands‑on engine behind the analysis that guides R&D portfolio and investment decisions. You will build and maintain the financial and operational models, forecasts and dashboards the team relies on, and support ad hoc strategic analyses - pulling together data from scientific, clinical, financial and operational sources and turning it into clear, accurate outputs.

Working closely with the Head and alongside the Finance Portfolio Analytics Manager, this role is an opportunity to develop deep portfolio‑analytics expertise in a high‑visibility environment and to grow toward independent ownership of analyses.

Key Responsibilities

Analysis & Modelling

• Build, populate and maintain financial and valuation models

(e.g. NPV/rNPV, scenario and sensitivity analysis) under guidance.

• Support ad hoc strategic and exploratory analyses; gather, clean and structure data from scientific, clinical, financial and operational sources.
• Help develop and run probabilistic and Monte Carlo simulations and other quantitative analyses.
• Portfolio reporting & forecasting
• Maintain portfolio forecasts, metrics, milestones and KPI tracking, and flag variances against plan.
• Build and maintain dashboards, reports and decision materials for review discussions.
• Support improvements to data quality, reporting tools and forecasting methods.
• Decision support & collaboration
• Prepare clear, accurate materials for portfolio and product review discussions.
• Synthesise quantitative and qualitative findings into concise summaries, and communicate results clearly to non‑technical stakeholders.
• Partner across development, operations, finance and technology teams, taking direction from the Head and senior analytics colleagues and following through on commitments.

Basic Qualifications

• Bachelor's degree in a quantitative field (engineering, computer science, mathematics, economics, operations research or finance) or life sciences with specific quantitative experience; or equivalent professional experience.
• 2+ years' experience in financial and operational modelling, data analysis, analytics or forecasting;
• 2+ years' experience turning data and analysis into clear, actionable insights and recommendations.
• 2+ years' experience coding in at least one analytical or programming language (e.g. Python, R or SQL), with exposure to data science app development frameworks (e.g. Shiny, Streamlit or Dash).

Preferred Qualifications

• Experience in pharmaceuticals, biotech, life sciences, consulting or financial services.
• Exposure to drug development or R&D portfolio concepts.
• Strong quantitative fundamentals, with accuracy and attention to detail.
• Ability to communicate analytical results clearly to non‑technical stakeholders and to work effectively in cross‑functional teams.
• Strong data science fundamentals, with exposure to valuation methods (NPV/rNPV), scenario and sensitivity analysis and Monte Carlo simulation.
• Experience with web app development, from either a data engineering or UI perspective (e.g. Shiny, Streamlit or Dash).
• Interest in or experience with Generative AI tools and frameworks.
• Familiarity with standard software development tools and practices (e.g. Git, CI/CD, containerisation).
• Comfort with ambiguity and managing multiple priorities.

Work Arrangement

This role offers a hybrid working model, with a mix of on‑site and remote work. Remote or fully home‑working arrangements are not available for this role.

#LI-GSK

Skills

Continuing Learning, Influencing Without Authority, Problem Solving, Statistical Methods, Statistical Programming

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - [e-mail].

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/.