Merck KGaA Darmstadt Germany-posted 4 months ago
$126,500 - $199,100/Yr
Full-time • Senior
Onsite • West Point, PA
Chemical Manufacturing

Under the general supervision of a senior staff member in Center for Mathematical Sciences (CMS), the incumbent is responsible for the statistical analysis and evaluation of data to meet the needs of our company's Manufacturing Division. The individual will, through consultation with employees and teams, provide statistical expertise on experimental design, and the evaluation and interpretation of data. As required, the incumbent will evaluate data for submission to regulatory agencies and pharmacopoeia.

  • Independently collects, organizes and summarizes data for projects.
  • Performs basic statistical analyses such as ANOVA models, process capability and control, linear regression, ANCOVA for stability studies.
  • Generates a wide variety of statistical graphics adapted to the need of the statistical project.
  • Independently applies basic and advanced statistical techniques and graphics and recognizes the need for more sophisticated methods.
  • Develops or adapts sophisticated techniques to meet the needs of specific projects.
  • Independently writes or adapts basic statistical programs to perform analyses and to create graphics.
  • Independently performs simulations (e.g. Monte Carlo techniques).
  • Mentors junior staff members in the application of basic and advanced methods and graphics.
  • Prepares and conducts training courses and seminars throughout our Manufacturing Division to familiarize scientists and management personnel in the understanding of statistical techniques and methods.
  • Proposes design of experiments and analysis plans through consultation with our Manufacturing Division's personnel and teams.
  • Contributes to the generation of objectives and hypotheses to be evaluated via statistical studies.
  • Independently prepares oral and written reports to effectively communicate study designs and the interpretation of analyses.
  • Conducts second person reviews of the formal reports of other CMS members as qualifications and experience permits.
  • Performs data verifications to ensure compliance with auditing requirements for all data analyzed for a project that results in a second person reviewed report.
  • Reviews literature and attends appropriate seminars and classes to develop and maintain the necessary skill levels.
  • Assists with senior members' publications or presentations.
  • Contributes work at the level of a poster session and occasionally will contribute a talk to a professional society meeting.
  • Participates as a full member on internal teams providing statistical expertise.
  • 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 the following statistical software packages: SAS, S‑Plus/R, JMP, Minitab.
  • Ability to work independently and on teams using effective consulting skills.
  • Ability to think originally and imaginatively in developing creative solutions in completing projects.
  • Effective oral and written communication skills to communicate statistical concepts and analyses to non-statisticians.
  • Demonstrated leadership, ability to manage multiple projects/tasks simultaneously with competing priorities.
  • Ability to manage meetings, time and personal effort effectively.
  • Possess the skills to persuade and motivate others.
  • Advanced problem solving and proficient decision-making skills.
  • Medical, dental, vision healthcare and other insurance benefits (for employee and family)
  • Retirement benefits, including 401(k)
  • Paid holidays
  • Vacation
  • Compassionate and sick days
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