Salary
💰 $126,500 - $199,100 per year
About the role
- Responsible for statistical analysis and evaluation of data to meet Manufacturing Division needs at Merck
- Consult with employees and teams to provide statistical expertise on experimental design and data interpretation
- Independently collect, organize and summarize project data and generate statistical graphics
- Perform analyses such as ANOVA, process capability and control, linear regression, ANCOVA for stability studies and multivariate methods
- Develop/adapt sophisticated statistical techniques, write/adapt statistical programs, and perform simulations (e.g. Monte Carlo)
- Prepare oral and written reports, conduct second person reviews, and perform data verifications for audited projects
- Mentor junior staff, prepare and deliver training courses/seminars, and contribute to publications and professional meetings
- Participate as a full member on internal teams providing statistical expertise
Requirements
- Bachelor of Science (BS) in statistics or related field with ten (10) years of required experience, OR Master of Science (MS) in statistics or related field with five (5) years of required experience, OR PhD in statistics or related field with no required experience
- Coursework and/or experience should include industrial statistics (DOE, SPC, regression, general linear models, and multivariate methods, computer programming)
- Excellent statistical computing skills with substantial experience in at least two of: SAS, S‑Plus/R, JMP, Minitab
- Ability to work independently and on teams using effective consulting skills
- Ability to think originally and imaginatively to develop creative solutions
- Effective oral and written communication skills to explain statistical concepts to non-statisticians
- Demonstrated leadership and ability to manage multiple projects/tasks with competing priorities
- Ability to manage meetings, time and personal effort effectively; persuade and motivate others
- Advanced problem solving and proficient decision-making skills
- Experience preparing data for regulatory submissions and pharmacopoeia evaluation (as required)