Data & Modeling Sciences - Associate Scientist

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Mason

Responsible for the statistical leadership of Beauty Care clinical trials across key categories of the global consumer product portfolio, including Hair, Skin and Personal Care. Responsible for identification and development of clinical statistical methods and measures, including emerging spaces of Real Time In Context (i.e. dynamic, in the wild) measures. In partnership with Clinical Digital/Data resources, design and implement big data cloud structure to enable rapid analysis of data via Machine Learning and AI for modeling and claim support.  Elements of this role include: statistical planning, design, programming, analysis, reporting of data, claims/credentialing support, mining of historical clinical data, and data activation. Additional responsibilities may include non-clinical statistical or data science related work such as leveraging machine learning algorithms, understanding consumer preference data, and advanced programming for facial image analysis.

• Provide statistical expertise for study design of Beauty Care clinical and non-clinical study protocols and write statistical analysis plan for the study protocol

• Complete detailed analysis plans, summaries of research and experimentation, and document work in appropriate data storage systems

• Interpret, summarize, and present study results to project teams and leadership

• Provide statistical interpretation and support for product claims and credentialing

• Identify, develop and apply statistical methods to analyze data from Beauty Care research and development projects

• Identify and reapply best statistical methods and programming practices both within and outside of the company

• Identify opportunity areas to automate analyses and drive simplification across both in-clinic and at home measures

• Identify and develop tools for automated data analysis and reporting

• Comply with Procter & Gamble’s data integrity and business ethics requirements

• Requires B.S. in Statistics or Biostatistics with computer science (programming or software development) experience

• Demonstrates proficiency in large number of core statistical methods (ANOVA, multivariate, linear and logistic regression, etc.) and software applications (SAS, R, R Shiny, etc.)

• Able to articulate and translate business questions into statistical problem statements

• Excellent problem-solving skills and attention to detail

• Effective written and verbal communication skills, including technical writing

• Ability to work effectively with and lead large multifunctional teams

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration sponsorship is not available for this position, except in rare situations based on Procter & Gamble's sole discretion. Applicants for U.S. based positions are eligible to work in the U.S. without the need for current or future sponsorship. We do not sponsor for permanent residency. Any exceptions are based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Full time

R000048899

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