Merck & Co. is looking to solve the problem of advancing therapeutic programs in Immunology, Neuroscience and Infectious Diseases/Vaccines by hiring a Senior Data Scientist with a background in Pharmacology to join their Quantitative Biosciences team.
Requirements
- A background in pharmacology-based modeling, statistics and machine learning.
- Experience with integrating and analyzing multiple pharmacology-relevant data types, e.g. cellular imaging, transcriptomic, chemical structure-activity data.
- Biomedical Sciences
- Biopharmaceutics
- Biostatistics
- Cell Physiology
- Clinical Immunology
- Computational Biology
- Computational Chemistry
- Computer Science
- Cytometry
- Data Analysis
- Database Systems
- Data Science
- Data Wrangling
- Drug Discovery Process
- Drug Discovery Research
- Immunochemistry
- Life Science
- Machine Learning
- Pharmacokinetics
- Pharmacology
- Pharmacotherapeutics
Responsibilities
- Work with department pharmacologists to design statistically sound experiments and critically analyze and interpret the data from these experiments to ensure the success of discovery programs in Immunology, Neuroscience and Infectious Diseases/Vaccines.
- Help develop novel data pipelines that move, integrate and analyze diverse sources of biological data that aid in the identification of targets, profiling of therapeutic candidates or improving the chances of translation (e.g., cellular images, flow cytometry, multi-omics, deep profiling).
- Identify, develop and implement data visualization approaches that help drive decision making on program teams and manage resources for the department.
- Help wrangle and analyze unstructured and structured data that will drive new translational strategies for the company.
- Participate in the development and implementation of active learning-based approaches to drug discovery.
- Work with automation engineers and laboratory scientists to develop the infrastructure to collect and move data off of lab-based instrumentation to help facilitate downstream analyses including those implementing AI/ML methodologies.
- Identify, validate, and integrate new technologies or methodologies to increase efficiency and productivity, drive program progression, and facilitate clinical translation of discovery programs.
Other
- Master's (with 3 years) or Ph.D. in Biology, Pharmacology, Data Science, Biostatistics, Computational Biology/Chemistry or other related life sciences field and relevant experience in modeling, analyzing and visualizing pharmacology data.
- The ability to communicate effectively with and relate to a broad range of stakeholders, including senior leaders, peers, direct reports, partner organizations and external collaborators.
- A passion for innovation and problem-solving.
- Travel Requirements: 10%
- VISA Sponsorship: Yes
