Senior Data Engineer, Process R&D Enabling Technologies (hybrid)

Senior Scientist

We are seeking a Senior Scientist to join the Process Research & Development — Enabling Technologies (PR&D ET) team to support the Development Sciences and Clinical Supply (DSCS) organization's digital initiative. This position is located in either West Point, PA, or Rahway, NJ.

Primary Responsibilities: In this role, the selected candidate will work with a team of scientists and data professionals to identify, develop, and deploy data products designed to improve how process knowledge is gathered, analyzed, and applied. The technologies we develop are as diverse as the team that builds them. In this Senior Scientist role, the selected candidate will collaborate with our company Research & Development division’s IT to establish end-to-end, cloud-based data products and machine learning pipelines that leverage data contextualization to dramatically streamline digital workflows across our Process Research and Development portfolio.

DSCS Digital is responsible for the invention and application of new tools to support the scientists across analytical and process research & development. We aspire to embed data-intense tools into the fabric of the organization’s process development culture. This Senior Scientist role is a scientific position tasked with solving complex process R&D challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting-edge data solutions.

We are seeking Data Engineers who are passionate about connecting data streams to enable emerging digital technologies. As a Data Engineer within DSCS Digital, you’ll have the opportunity to be on the forefront of driving a major transformation across the broad DSCS organization. This role will allow the chosen candidate to collaborate with and across teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. They will utilize programming languages like Java, Scala, Python, Spark, and No/SQL to design and implement non/relational databases also leveraging cloud-based data warehousing tools such as Redshift and Snowflake.

Successful candidates will share their passion for staying on top of technology trends, experimenting with and learning new tools, participating in internal & external technology communities, and mentoring other members of our growing digital community. The candidate will be expected to deliver robust cloud-based solutions that drive and accelerate drug development with our partners in DSCS. In addition to a passion for advanced analytics, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity, equity, 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 clear, demonstrated ability to publish and present research, including an established track record of interaction with the broader academic community. As such, 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 B.S. in a scientific, engineering, or a closely related field, plus 4 years of experience. + An M.S. in a scientific, engineering, or a closely related field, plus 2 years of experience. + A Ph.D. in a scientific, engineering, or closely related field.

Required Experience and Skills: + At least 2 years of experience in big data technologies + At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) + Background and experience in data science, data engineering, and machine learning/artificial intelligence. + Highly motivated and technology-centric scientist that is passionate about modernizing our company 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: + Experience with a public cloud (AWS, Microsoft Azure, Google Cloud) + Experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) + Background in leveraging a broad range of machine learning and data science tools, including development and application of deep learning methodologies for predictive capabilities. + Expertise in data analysis, including machine learning/artificial intelligence, chemometrics, statistical analysis, and multivariate data analysis. + Utilization of tools within computational biology for processing, analysis, and modeling of data generated by multi-omics approaches. + Evidence of cross-functional collaboration in an academic or industrial setting. + Experience in research efforts focused on vaccines, biological molecules, bioconjugates, or general large molecules. + Motivated to learn new skills, willingness to take on new challenges, and scientific curiosity