Specialist, Feasibility Analytics

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting‑edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Responsibilities

• Perform data mining and analysis of clinical trial, epidemiology, real‑world, diversity & inclusivity, pricing & reimbursement, and publicly available data sources.
• Generate and communicate actionable intelligence from current and emerging data sources on clinical trials at a global, country, and site level.
• Work with the study and project teams to provide data informed insight for the clinical operational plan.
• Collaborate with diverse stakeholders to integrate clinical trial intelligence and insights into asset and study strategy and planning.
• Understand and communicate the value of using diverse data insights.
• Contribute to continuous improvement by proposing process or tool changes that speed start‑up or improve decision quality.

Basic Qualifications

• Bachelor’s degree in life sciences, statistics, public health, healthcare management or related field.
• 2+ years experience in clinical trial feasibility, clinical operations, or related role.
• Strong analytical skills with practical experience using Excel and data visualisation tools and proficiency in Microsoft Office.
• Knowledge of the drug development process and relevant industry guidelines (FDA, ICH‑GCP).
• Effective written and verbal communication skills in English.
• Clear, concise communicator able to work with cross‑functional teams and external partners.
• Comfortable working in a hybrid model with regular time in the Poland office.

Preferred Qualifications

• Experience with industry clinical trial data sources (e.g., CiteLine, DQS, TriNetX).
• Experience with clinical trial recruitment modelling tools, advanced analytics.
• Knowledge of basic statistical concepts and their application to feasibility estimates.
• Ability to manage multiple projects and priorities across study teams.
• Experience working in a matrix environment.

Benefits

• Career at one of the leading global healthcare companies.
• Contract of employment.
• Attractive reward package (annual bonus & awards for outstanding performance, recognition awards for additional achievements and engagement, holiday benefit).
• Hybrid working model (where GSK sites are in Poland).
• Extensive support of work‑life balance (flexible working solutions, minimum 2‑3 days/week working from the office, short Fridays option, health & well‑being activities).
• Life insurance and pension plan.
• Private medical package with additional preventive healthcare services for employees and their eligible dependants.
• Sports cards (Multisport).
• Possibilities of development within the role and company’s structure.
• Personalised learning approach (internal training, mentoring, access to online training platforms: Keep Growing Campus, LinkedIn Learning, Business Skills, Harvard Manage Mentor, Skillsoft and external training).
• Supportive community and integration events.
• Modern office with creative rooms, fresh fruit every day.

Inclusion at GSK

As an inclusive employer, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at pl.recruitment.adjustments@gsk.com to discuss your needs.

Equal Opportunity Employer

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, colour, 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.