Senior Consultant/Assistant Manager-Data Analytics Life Sciences

Lead defined workstreams in strategy and technology-enabled transformation engagements for pharmaceutical, biotech, and MedTech clients.

Structure complex business questions, develop hypotheses and analyses, and translate findings into clear recommendations, roadmaps and value cases for the life science sector.

Engage confidently with client stakeholders across business and technical functions, facilitate workshops and maintain alignment on priorities and decisions.

Translate business objectives and user needs into clear requirements, process designs and specifications for data, analytics, AI and digital solutions.

Collaborate with technical specialists and contribute hands-on to solution design, data analysis, testing and implementation where relevant.

Support proposals, client development and the expansion of KPMG relationships across the Life Sciences sector.

Contribute to reusable offerings, market insights and team capability building at the intersection of Life Sciences, strategy and technology.

With 300 different auditing and advisory service opportunities, our people can choose the career path that suits them best. Through our competencies in business transformation as well as ESG consulting, we support our clients in today's biggest challenges. We are a purpose-led and values driven company where your insight can create opportunities for you and contribute to a better future. Do work that matters, supported by a community that values difference and cares about you. Gain learning that'll last you a lifetime and be recognized for the impact you make. Find opportunity everywhere with KPMG.

• Master's degree in Life Sciences, engineering, data science, business administration, or a related discipline.

• Typically 3-5 years of relevant experience in consulting or within pharma, biotech, MedTech or healthcare, with exposure to strategy, transformation or technology-enabled delivery.

• Strong understanding of the Life Sciences value chain and the ability to engage credibly with business, scientific, operational and technology stakeholders.

• Proven ability to structure ambiguous problems, develop practical recommendations and communicate complex topics clearly to senior audiences.