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Data-Rich Bioprocess Development Scientist, Data-Rich Experimentation

USA - New Jersey - Rahway, United States

Job Description

We are seeking a Scientist to join our Data-Rich Experimentation (DRE) organization within Process Research & Development Enabling Technologies (PR&D ET), located in Rahway, NJ or West Point, PA.

Primary Responsibilities:

Our DRE organization is responsible for the invention and application of new data-rich tools to support the scientists across Process Research & Development at our Company. We aspire to embed data-driven technologies into the fabric of our Company's process development culture. 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 way process understanding is gathered across our broad portfolio of small molecules, biologics, and vaccines. The tools that we develop are as diverse as the team developing them, and the chosen candidate will leverage data rich experimentation and data science technologies to enable our process research and development efforts across our Company's biologics and vaccines portfolio.

This Scientist role is a position tasked with solving complex process research and development challenges in an interdisciplinary, collaborative environment using cutting-edge data rich experimentation and data science technologies. This includes, but is not limited to, supporting upstream and downstream biologics and vaccine process development efforts through high-throughput experimentation, benchtop lab automation, process analytical technologies, mechanistic modeling, data-driven modeling, and data engineering. To drive data-driven decision making around complex pharmaceutical processes, the candidate should possess a broad understanding of the modern digital tools suitable for process research and development applications.

In addition to a passion for data rich experimentation and data science, 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 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 M.S. in Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, Computer Science, or a closely related field.

  • A B.S. in Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, Computer Science, or a closely related field with at least 2 years of industrial/ pharmaceutical …

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Job Profile

Regions

North America

Countries

United States

Restrictions

Hybrid Hybrid work Hybrid work model Must be located in NJ or PA On-site Puerto Rico residents only Travel required US and Puerto Rico residents only

Benefits/Perks

Bonus eligibility Collaboration Collaborative environment Diverse workplace Diversity and Inclusion Equal opportunity Equal opportunity employer Flexible work Flexible work arrangements Health Care Hybrid work Hybrid work model Inclusion Inclusive environment Insurance Paid holidays Retirement benefits Sick Days Supportive culture Team environment Vacation

Tasks
  • Collaboration
  • Communication
  • Compliance
  • Cross-Functional Collaboration
  • Data-driven decision making
  • Data engineering
  • Innovation
  • Process development
Skills

Analytical Analytical Technologies Automation Biologics Biology Bioprocess Bioprocess Development Chemistry Collaboration Communication Compliance Computer Computer Science Creativity Cross-functional Collaboration Data Data-driven decision making Data-driven modeling Data engineering Data Science Decision making Development Digital Digital Tools Diversity Diversity and Inclusion Downstream process development Education Engineering High-throughput experimentation Inclusion Innovation Interpersonal Manufacturing Methodologies Modeling Organization Partnerships Pharmaceutical Pharmaceutical Sciences Process Development Process research Research Research and development Science Small Molecules Technology Vaccine Vaccines

Experience

2 years

Education

AS Automation Biology B.S. Business Chemistry Computer Science Data Science Development Engineering Health Care MS Pharmaceutical Sciences Physics Related Field Relevant experience Science Technology

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9