Job Description
We are seeking a Senior Scientist to join our Data-Rich Experimentation (DRE) organization, within Process Research & Developing Enabling Technologies (PR&D ET), located in Rahway, NJ.
Primary Responsibilities:
In this role, the chosen candidate will work with a team of scientists tasked with identifying, developing, and deploying data-rich technologies aimed at improving the manner in which process understanding is gathered. The tools that we develop are as diverse as the team developing them, and in this Senior Scientist role, the chosen candidate will leverage machine learning and other innovative data science approaches to enable our process research and development efforts across our company's small molecule, biologics, and vaccines portfolio.
Our DRE organization is responsible for the invention and application of new data-rich tools to support the scientists across process research and development at our company. We aspire to embed data-intense technologies into the fabric of our process development culture. This Senior Scientist role is a scientific position tasked with solving complex process research and development challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting-edge machine learning, deep learning, generative artificial intelligence (AI), and other data science tools. Ultimately, using machine learning and advanced data science approaches, we aim to elucidate a deeper understanding of our processes across diverse medicines and vaccines.
In this Senior Scientist role, the chosen candidate will leverage machine learning and data science approaches to help advance process-focused scientific research. This includes, but is not limited to, developing machine learning technologies for predictive science applications, using machine learning and digital tools to better extract all useful chemical and biological information embedded within experimental process data, leveraging machine learning, chemometrics, multivariate data analysis, deep learning, generative AI, and other data science tools to enable an improved understanding of the fundamental science of our processes, and leveraging machine learning to accelerate and optimally design experimental approaches. As such, the chosen candidate should have a robust background in machine learning, with an emphasis on the intersection of process-focused domain knowledge with digital and data science in silico technologies.
In addition to a passion for machine learning, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity and inclusion, including fostering a supportive culture where all can thrive. The chosen candidate should be able to effectively collaborate in a dynamic, integrated, and multidisciplinary team environment. The chosen candidate should demonstrate a clear ability to perform impactful scientific innovation in a team-oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have a demonstrated ability to publish and present research, including an established track record of interaction with the broader academic community. The chosen candidate will join a diverse group of scientific problem solvers who are dedicated to creating the life-changing medicines and vaccines of tomorrow.
Education Minimum Requirement:
• A Ph.D. in Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field
• A M.S. in Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 2 years of relevant experience
• A B.S. in Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 4 years of relevant experience
Required Experience and Skills:
• Background and experience in machine learning, deep learning, chemometrics, multivariate analysis, generative AI, and data science.
• Highly-motivated and technology-centric scientist that is passionate about modernizing our process development practices across biologics, vaccines, and small molecule modalities.
• Demonstrated scientific ability through publications and presentations in scientific conferences.
• Excellent communication skills, demonstrated creativity, and effective interpersonal skills.
• Ability to deliver complex solutions under compressed timelines in a dynamic environment.
• Ability to work in a team environment with cross-functional interactions.
Preferred Experience and Skills:
• Background in leveraging a broad range of machine learning tools, including development and application of data science methodologies for predictive capabilities.
• Expertise in data analysis, including machine learning, d
Location: Rahway, NJ (+1 other)
Posted: Oct. 7, 2024, 9:34 a.m.
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