Job Description

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company's renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

Job Description:

Our Research Scientists are our Inventors. We identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Our goal is to isolate a compound that is effective against a disease target. Using innovative thinking, state-of-the-art facilities and robust scientific methodology we collaborate to discover the next medical breakthrough.

This position is for a statistician who will contribute to identifying, developing and validating oncology biomarkers and to validating digital pathology-based approaches that can be used to support our company's oncology programs, and/or to serve as companion diagnostics. The position is also responsible for supporting regulatory filing related to oncology biomarkers. This position requires solid statistical knowledge, excellent communication skills and strong programming capability. A successful applicant is expected to be self-motivated and innovative.

Primary responsibilities:

• Lead translational oncology biomarker statistical analysis plan development, statistical analyses, discussion, results sharing and publication.

• Provides statistical support for companion diagnostics development including cut point selection and bridging analysis for regulatory approval.

• Interacts with Discovery and Translational, Clinical, Regulatory, Statistical Programming, and other Research Laboratories scientists in analyzing oncology biomarker and clinical data.

Primary activities:

• Serves as the lead statistician to support biomarker research for early oncology programs or late-stage oncology indications.

• Develops scientific statistical analysis plans for oncology biomarker projects.

• Analyzes biomarker and clinical data and interprets the results.

• Prepares oral presentations and written reports to effectively communicate analysis results to multidisciplinary teams.

• Identifies technical or other potential problems arising in the biomarker projects, proposes solutions and carries them out.

• Participates in biomarker related meetings to gain high-level understandings of the projects, and to ensure the quality of the data and the analysis.

• Conducts research for innovative statistical methods and their applications in biomarker projects.

Position Qualifications:

Education Minimum Requirement:

• A PhD degree in statistics/biostatistics or related areas, or

• A master's degree in statistics/biostatistics with at least 4 years of relevant work experience

Required Experience and Skills:

• Solid knowledge of statistical analysis methodologies especially in Bayesian inference

• (including hierarchical modeling), logistic regression, and survival analysis

• Solid knowledge of statistical and data processing software, especially R language

• Strong oral and written communication skills

• Ability to function well both independently and collaboratively

• Strong project management skills

• Demonstrated interest in statistical methodology research and in the application of novel methods to real-world data analysis problem

• Demonstrated ability to learn, be proactive and motivated, and consistently focus on details and execution

• Ability to collaborate with scientists and work on multidisciplinary teams

Preferred Experience and Skills:

• Knowledge and experiences in Bayesian modeling and analysis with jags, stan or customized MCMC procedure using R is highly desired.

• A specialization and relevant job experience in oncology

• An understanding of the process to generate biomarkers, and the biology of disease and immunology

BARDS2020

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We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote".

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education.

Expected US salary range:

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

San Francisco Residents Only:We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

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Requisition ID:R334540