[R-jobs] statistician opening at Merck Research Labs in NJ, USA

[Liaw, Andy]

If you are interested in the following position, please contact Vladimir Svetnik at Vladimir_svetnik using merck.com.

Date: Nov 18, 2015
Location: Rahway, NJ, US
Associate Principal Scientist, Biostatistics-BIO004396

Description

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.


Responsibilities:

- Develops, coordinates, and provides statistical leadership and support for related drug/vaccine projects in Biometrics Research.

- Ensures that sound scientific principles and statistical methods are applied to designing and analyzing non-clinical and clinical studies in support of discovery and worldwide regulatory submissions.

- Interacts with Clinical, Regulatory, Statistical Programming, Data Management, and other Merck Research Laboratories in coordinating the statistical activities for clinical drug/vaccine projects. May interact with Contract Research Organization (CRO).

- This position may serve as a statistical lead in project teams.

- The incumbent may initially work in a specific disease area.

Primary activities:

- Serves as statistical representative and lead in the cross-functional teams for the strategic planning and execution for product discovery and development.

- Is involved in non-clinical or clinical development planning to ensure that study designs are consistent with program objectives and meet worldwide regulatory and marketing needs.

- Independently identifies and anticipates technical or other potential problems arising in the design, conduct, and analysis of non-clinical or clinical studies, proposes solutions and carries them out.

- Independently identifies opportunities to add value to drug/vaccine discovery and development programs.

- Develops individual protocols and data analysis plans and independently determines appropriate statistical methodology for analysis.

- Participates in database design meetings to ensure that the data evaluated are in high quality and satisfy analysis requirements.

- Collaborates with the statistical programming staff to ensure that all programs meet analysis requirements, internal standard operating procedures, and external regulatory requirements

- Evaluates appropriateness of available software for planned analyses and ascertains needs for potential program development of novel statistical methodology.

- Analyzes data and interprets results from non-clinical or clinical studies to meet program objectives. Independently applies and implements basic and complex statistical techniques to these analyses.

- Prepares oral and written reports to effectively communicate results of non-clinical or clinical studies to the project team, Merck Management, regulatory agencies, or individual investigators.

- Provides responses to queries relating to study design, analysis, and interpretation posed by the scientists, clinical monitors, regulatory agencies, and/or other investigators.

- Participates with management in discussions with corresponding scientific personnel at regulatory agencies and with investigators concerning proposed or ongoing studies.

- Involved in research activities for innovative statistical methods and applications in clinical trial development or drug development.

- Mentors and guides junior staff in functional activities.

Qualifications

Education:

- PhD or equivalent degree in statistics/biostatistics or related discipline with a minimum of 2 years of relevant work experience, or internship and/or coop ; or a Master's degree with a minimum of 6 years relevant work experience.

Required:

- Experience with machine learning methods applied to analysis of very large data generated by high-throughput life science technology such as, for example, NGS, Proteomics, Flow Cytometry, Imaging, or High-Throughput screening.

- Excellent computer skills. Advanced R-programming experience. Knowledge of C, C++, Python, Matlab, SAS in Windows and Unix/Lunix environment.

- Strong interest in statistical research and application of novel methods demonstrated by publication record

- Ability to learn, be proactive and motivated, and consistently focus on details and execution.

- Ablility to function effectively in a team environment

- Ability to collaborate with multi-discipline scientists

Preferred:

- Bioinformatics and Cheminformatics

- Assay development and validation (e.g., PCR, immunoassays, immunohistochemistry)

- Knowledge of technology platforms, e.g. NGS

- Application of Bayesian methods to high-dimensional-data analysis

- Graphical Models

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 staffingaadar using merck.com<mailto:staffingaadar using merck.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.

Merck is an equal opportunity employer, Minority/Female/Disability/Veteran - proudly embracing diversity in all of its manifestations.



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