Job Description

Overview At our company, we are committed to improving the health and well-being of people around the world. As a leading global pharmaceutical company, we strive to make a difference through innovative research, discovery, and development of life-saving medications and vaccines. With over a century of experience and a steadfast dedication to scientific excellence, we have become a trusted name in the industry. Join our team and be a part of our mission to create a healthier future for all. We have an exciting opportunity for a Senior Data Scientist with a background in machine learning, statistics, and data science to join our Pharmacology team in our West Point, PA site. In this role, you will collaborate with local discovery teams and other AIML & data science functions to advance therapeutic programs in Immunology, Neuroscience and Infectious Diseases/Vaccines, and to build computational pipelines that make better use of the data we generate. If you are data-focused and energetic, we’d love for you to be part of our diverse and passionate team. In this role you will: Work with department pharmacologists to design statistically sound experiments and critically analyze and interpret the data from these experiments to support discovery programs in Immunology, Neuroscience and Infectious Diseases/Vaccines. Develop novel data pipelines to move, integrate and analyze diverse biological data that aid in target identification, profiling of therapeutic candidates, or improving translation (e.g., cellular images, flow cytometry, multi-omics, deep profiling). Identify, develop and implement data visualization approaches that drive decision making on program teams and manage department resources. Wrangle and analyze structured and unstructured data to drive translational strategies for the company. Participate in the development and implementation of active learning-based approaches to drug discovery. Collaborate with automation engineers and laboratory scientists to develop infrastructure to collect and move data from lab instrumentation to enable downstream AIML analyses. Identify, validate, and integrate new technologies or methodologies to increase efficiency and productivity, drive program progression, and facilitate clinical translation of discovery programs. Collaborate across the network to guide the data transformation process and build data science infrastructure. Effectively communicate data analyses and computational strategies to stakeholders and management. Democratize computational approaches and upskill lab-based scientists to become more data science savvy. What you will need: Ph.D. in Biology, Pharmacology, Data Science, Biostatistics, Computational Biology/Chemistry or related life sciences field; or a Master’s degree with 3+ years’ experience in computational drug discovery or machine learning in pharma/biotech. Understanding of pharmacology experiments for drug discovery and how to design statistically sound experiments that drive pipeline decisions. Background in statistics and machine learning. Experience with databases, queries, scripting, programming and/or statistics software including SQL, Prism, Python or R. Ability to wrangle structured and unstructured data for downstream analyses. Experience with multiple data modalities (e.g., genomics, chemical structures) and integrating them with other data formats for interpretation. Robust understanding of drug discovery and clinical development, with experience on programs from lead identification through preclinical candidate delivery. Strong communication skills with a broad range of stakeholders, including senior leaders, peers, direct reports, partner organizations and external collaborators. Excellent written and oral communication skills and ability to adapt to changing priorities. Passion for innovation and problem-solving. Experience working with experimentalists to design and interpret experiments; ideal for someone with a background in both experimental and computational lab work. 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 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 and backgrounds come together in an inclusive environment. We encourage 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. Eligibility and Logistics US Hybrid Work Model : Effective September 5, 2023, employees in office-based positions in the U.S. will follow a Hybrid work model with three on-site days per week (Mon–Thu) and a remote day on Friday, subject to business needs and site specifics. Some roles require in-person attendance. This guidance does not apply to remote-designated roles. Compensation : Salary range for this role is $126,500.00 – $199,100.00. Salary is based on education, qualifications, experience, location, and business needs. The successful candidate will be eligible for annual bonus and long-term incentives, if applicable. Benefits : We offer a comprehensive package of benefits including medical, dental, vision, retirement (401(k)), paid holidays, vacation, and sick days. Additional details are available in the benefits information for this position. Application : You can apply for this role through the Workday Jobs Hub if you are a current employee. The application deadline is stated on this posting. Other : VISA Sponsorship: Yes • Relocation: Domestic • Travel Requirements: 10% • Flexible Work Arrangements: Not Applicable Job Posting End Date: 10/7/2025. A job posting is effective until the day before the listed end date. #J-18808-Ljbffr Merck & Company Inc

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