Principal Scientist, Biology-Discovery

Job Description The Screening & Compound Profiling group within the Quantitative Biosciences Department is seeking a Principal Scientist with deep expertise in applied quantitative pharmacology and/or biochemistry to join our Research Laboratories in Rahway, NJ. This role will provide senior-level expertise at the interface of in vitro pharmacology and quantitative modeling. The successful candidate will serve as a scientific resource across the broader research organization, contributing rigorous pharmacological analysis across programs and delivering mechanistic insight to drug discovery decisions spanning target classes, modalities, and therapeutic areas. The primary responsibilities of this role will be to develop, apply, and communicate quantitative data models that elucidate molecular mechanisms of action, support translational profiling of compound activities, and guide molecular optimization. The ideal candidate will combine authoritative command of foundational concepts in drug action rooted in biochemistry, enzymology, transporter/channel biology, or a related discipline with strong mathematical fluency and the ability to address complex pharmacological challenges in a collaborative, cross‑functional environment. This individual will materially strengthen local lead‑finding capabilities while partnering with teams across the research network to advance our discovery pipeline. Responsibilities Provide quantitative analysis and consultation to drug discovery project teams across the network, either as an embedded team member or as an advisory resource. Develop and apply mechanistic and empirical models to characterize compound activity and inform structure‑activity relationships. Translate pharmacological data into actionable recommendations for medicinal chemistry, biology, and translational colleagues. Mentor junior scientists in analytical methods, modeling approaches, and effective data communication. Represent Screening & Compound Profiling in cross‑functional and cross‑site settings, contributing pharmacological perspective to broader strategic discussions. Foster a collaborative, inclusive team environment that supports scientific rigor and professional growth. Education Requirement Ph.D.-in pharmacology, biochemistry, biophysics, or a closely related discipline with 10 years of relevant experience. Required Experience and Skills Extensive drug discovery experience, preferably in an industry setting, with demonstrated impact across multiple programs and/or therapeutic areas. Deep expertise in quantitative pharmacological frameworks including dose‑response analysis, enzyme kinetics, receptor binding theory, and mechanistic modeling of drug action. Strong mathematical foundation in calculus, ordinary differential equations, and applied statistics as used in pharmacological modeling and quantitative data analysis. Exceptional communication skills – able to construct clear, data‑driven narratives and calibrate delivery to diverse audiences without sacrificing scientific rigor. Established scientific reputation evidenced by publications, presentations, or recognized contributions to the field. Preferred Experience and Skills Proficiency in scientific computing (Python and/or R) for model fitting, simulation, and development of analytical tools. Familiarity with contemporary hit‑finding and screening approaches including affinity‑oriented techniques (DNA‑encoded libraries, mRNA display), high‑throughput screening (binding and cellular functional assays, biochemical functional readouts), and assay development, miniaturization, optimization, and validation for screening. Familiarity with molecular and cell biology, physiology, and contemporary experimental approaches to evaluate experimental perturbation of biological processes including high‑content imaging, transcriptomics (RNA‑seq, DRUG‑seq), proteomics, and mass spectrometry, with sufficient quantitative literacy to interpret and contextualize results. Required Skills Adaptability Biochemical Assays Cell‑Based Assays Communication Compound Screening Data Analysis Detail‑Oriented Enzymology Ethical Compliance In Vitro Pharmacology Leading Project Teams Mathematics Mathematics Modeling Mechanism of Action Mentor Coaching Molecular Profiling Numerical Modeling Persuasion Professional Networking Quantitative Reasoning Simulation Models Statistics Systems Biology Benefits We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at Salary The salary range for this role is $173,200.00 – $272,600.00. 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 not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable. Equal Employment Opportunity Statement 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 the EEOC website. #J-18808-Ljbffr Merck & Co.