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Senior Specialist, Quantitative Pharmacology and Pharmacometrics – Immuno-Oncology (QP2‑IO)

Merck

Remote · Rahway, NJ, US$129k – $203k

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About this role

Job Description

Our company is a global healthcare leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. We are recognized as an industry leader in immuno-oncology (IO) and vaccines discovery and development. For more than a century, our company has translated scientific innovation into medicines and vaccines that improve and save lives worldwide—anchored in ethical integrity, scientific excellence, and a clear mission to transform global health.

Our company is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Our Research & Development division is a world-class scientific organization that brings together leading discovery capabilities and small molecule/biologics R&D expertise to create breakthrough science and redefine how we treat serious diseases.

Role Overview

The Quantitative Pharmacology and Pharmacometrics – Immune/Oncology (QP2-IO) Department of our Company's Research Laboratories is seeking a curious and collaborative Senior Scientist to support our rapidly expanding oncology pipelines.

As a senior specialist you will be part of a cross-functional teams of experienced scientists to discover and develop novel therapeutic agents in oncology. The senior specialist is a skilled quantitative scientist, with a good understanding of the strategic elements of drug discovery and development. The senior specialist should demonstrate collaborative work spirit and excellent communication skills.

Within QP2-IO, you have a unique opportunity to accelerate your professional career as a quantitative drug developer taking advantage of our end-to-end pipeline support in one of the world’s most research-intensive biopharmaceutical companies.  

Primary Responsibilities: Contribute to the development of model-based strategies (translational PK/PD strategies, mechanistic model, POPPK/PD, clinical trial simulations,etc) for quantitative analyses, within and across development programs and/or departments, to inform and optimize drug discovery and all phases of drug development including, but not limited to dose selection, clinical trial design, and go/no-go decisions. Represent QP2-IO on oncology discovery, early clinical development and late clinical development teams, leveraging quantitative approaches to drive streamlined development of programs within our growing portfolio. Collaborate with other functional areas, as well as with external vendors and partners, on activities related to study design, protocol development, study execution, reporting and interpretation of data.

Minimum Education • A Ph.D. with 0-2 years experience

OR • PharmD or MS or equivalent degree with preferably 2-4 years of relevant experience, where “experience” means having a record of increasing responsibility and independence in a similar role in pharmaceutical drug development, regulatory agency, or academia.

Required Experience and Skills • Educational background in biopharmaceutics, pharmaceutical sciences, pharmacometrics, chemical/biomedical engineering, or a related field.

• Experience in performing population PK, PK/PD analyses using standard pharmacometrics software (e.g. NONMEM, Monolix, Phoenix, etc.).

• Good written and verbal communication, interdisciplinary collaboration, and problem scoping and planning.

Preferred • Knowledge in oncology clinical drug development programs.

• Skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics.

• Scientific understanding of biopharmaceutical and ADME properties of small molecules and/or biologics.

his opportunity will be hybrid or remote, but the remote position is only applicable for those that are not within commutable distance to primary sites noted in posting.  If commutable, the position will be hybrid. Please note that standard commute is (less than)

#QP2 #EligibleforERP

Required Skills: Communication, Data Modeling, Data Visualization, Drug Development, Model Development, Modeling Software, Pharmacometrics Preferred Skills: ADME, Biologics, Biopharmaceutical Research, Biopharmaceuticals, Clinical Development, Clinical Trial Designs Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights EEOC GINA Supplement​

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

The salary range for this role is $129,000.00 - $203,100.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but no

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