Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. Today, we are building a new kind of healthcare company - one that is ready to help create a healthier future for all of us.
Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you'll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.
The Senior Scientist, Biostatistics - Rahway, NJ will support Early Clinical Development Statistics Department. Responsible for study designs and execution of statistical analyses of clinical trial data, under the general guidance of management. Study design, data analysis, PK/PD modeling, report writing, presentation of study results interaction with clinical investigators and domestic/international regulatory agencies related to Phase I/II clinical trials. Knowledge of statistical methodology and experimental study design to ensure sound scientific principles and statistical methods are applied. Assess appropriateness of existing statistical and/or develop new statistical methodology. Requires expert technical skills, in both the design and implementation of statistical methodology. Write statistical analysis plans and co-author clinical study protocols. Write programs to retrieve data, perform statistical analyses and ensure that all programs meet analysis requirements. Analyze study data and interpret results from clinical trials to meet objectives of study protocol. Prepare oral and written reports of clinical trials to senior management, regulatory agencies and the scientific community. Work independently while performing analyses and conducting original methodological research. Excellent oral and written communication skills are required for interaction with outside investigators, external scientific leadership, clinical and regulatory staff in the planning and analysis of clinical trial data and for the preparation of statistical analysis plans and reports. Perform statistical analyses; prepare relevant tables, listings and figures. Requires a solid knowledge of statistical methodology, experimental design, and some knowledge in computing software and data management. The knowledge must be sufficient to ensure that sound scientific principles and statistical methods are applied to designing and analyzing clinical trials or non-clinical experiments in support of discovery and worldwide regulatory submissions. Apply appropriate statistical methodology (linear and nonlinear models, regression), experimental design, using SAS (in particular PROC MIXED), and computing and data processing systems to perform the above. Qualifications:
- Required: Applicant must have a Ph.D. in Statistics or Biostatistics.
- Must possess strong knowledge in regression analysis, experimental design, categorical data analysis, generalized linear models, mixed effect models, nonlinear regression models, and multivariate analysis of variance.
- Proficient in statistical software (SAS, SPSS, R, MATLAB, WinBUGS), office software (Latex, Word, Excel, PowerPoint, etc.), and operating system (Windows, Unix, Linux).
- Must be able to work 40 hours per week. 9:00 a.m.-5:00 p.m.
- Must have proof of legal authority to work in the United States.
- Publications in peer reviewed statistical/medical journals
Our employees are the key to our company's success. We demonstrate our commitment to our employees by offering a competitive and valuable rewards program. Our Company's benefits are designed to support the wide range of goals, needs and lifestyles of our employees, and many of the people that matter the most in their lives. If you need an accommodation for the application process please email us at email@example.com. Search Firm Representatives Please Read Carefully:
Merck & Co., Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.
Visa sponsorship is not available for this position.
For more information about personal rights under Equal Employment Opportunity, visit:
EEOC GINA Supplement