R&D Executive - Statistician

About Unilever

With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose : to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.

Job Brief

The Clinical Biostatistics group is responsible for delivering leadership and expertise in the use of Statistics and Data Analytics across the Beauty & Wellbeing and Personal Care (BW & PC) Clinical Program. For Statistics this covers support in statistical design of clinical studies, statistical analysis, visualization of data and interpretation and reporting of results. Additionally, the group provides expertise in clinical data mining and modelling, and biostatistics support to the BWPC R&D cross functional teams with respect to the clinical program and related areas. The group delivers via a highly skilled team that is aligned to specific program areas within BPC and works in close partnership with Clinical researchers as well as BWPC Science & Technology (S&T), Global Design, Category Design, and Cluster Design teams on a global level.

Requirements & Qualifications : The candidate should ideally have at least a master's degree in Statistics / Biostatistics, with three to six years' experience in research or the FMCG / Pharmaceutical industries, although applications from less experienced candidates will be considered. Proficiency in SAS and R is essential, including the ability to automate routine tasks, develop macros, and build applications. Strong written and verbal communication skills are also required.

Responsibilities

• Engagement and collaboration with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically fit-for-purpose studies, analyse, visualise and interpret data.
• Work in inter-disciplinary teams that includes clinical study experts, measurement scientists, bioinformaticians, and other statisticians, both within Unilever and with external partners.
• Provision of statistical expertise across a range of R&D disciplines to define and implement statistical solutions.
• Deliver high quality statistical programming deliverables for all assignments that consistently meets study timelines, quality standards.
• Responsibility for the quality and defensibility of study designs, statistical analyses, models and data interpretation.
• Perform exploratory data analyses of clinical studies and reporting as required.
• Follow all standard practices as per SOP's and guidance documents.

Key Accountabilities

Our commitment to Equality, Diversity & Inclusion

Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

'All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding.'

Skills Required

Statistical Analysis, statistical programming, Sas, Data Mining, Modeling