Senior Scientist, DSCS Digital Technologies–Laboratory Automation, Scientific Data Integration (Hybrid)
About The Position
The Senior Scientist will join Development Sciences and Clinical Supply Digital Technologies to develop and deploy digital and data-rich technologies that improve process, product, and analytical understanding across small molecule, biologics, and vaccines development. The role combines pharmaceutical science, digital technologies, and data integration to enable FAIR, AI-ready scientific data ecosystems that accelerate research and improve scientific decision-making and knowledge reuse. The successful candidate will help advance automated, connected laboratories by using industry-standard and emerging technologies to integrate, orchestrate, and visualize laboratory systems and workflows. Working collaboratively across laboratory automation, digital engineering, IT, and scientific teams, the candidate will independently own and deliver scalable technical solutions that connect laboratory equipment, automation systems, and data pipelines.
Requirements
- Ph.D. in a listed or closely related field; expected graduation must be no later than December 2026; or an M.S. in a listed or closely related field with at least 2 years of relevant experience; or a B.S. in a listed or closely related field with at least 4 years of relevant experience.
- Proficiency in Python and/or R, and comfort working in development environments such as Jupyter, Posit/RStudio, or VS Code.
- Experience with ETL/ELT processes and building data pipelines in a scientific or pharmaceutical context.
- Familiarity with version control systems such as Git/GitHub and collaborative software development practices.
- Understanding of (bio)pharmaceutical process research and development, drug product development, and/or analytical development.
- Excellent communication, creativity, and 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.
- Demonstrated ability to work independently and entrepreneurially on cross-functional teams.
- Demonstrated scientific ability through publications and presentations at scientific conferences.
Nice To Haves
- Understanding of knowledge representation and reasoning techniques.
- Working knowledge of ontology design, FAIR principles, data and metadata standards, and scientific data management practices.
- Understanding of semantic modeling, knowledge representation, and scientific data contextualization approaches.
- Familiarity with life-science data standards such as Allotrope, CDISC, or comparable frameworks.
- Experience working with heterogeneous scientific data sources and integrating information across systems or domains.
- Experience connecting heterogeneous data sources and resolving differences in terminology, structure, and quality.
- Ability to model concepts, entities, relationships, and rules in a machine-readable way.
- Familiarity with ontology frameworks or standardized data models such as Allotrope Simple Model, ISA-88, or OPC-UA, and experience mapping instrument data to structured schemas.
- Understanding of data science and AI/ML concepts and their application to data contextualization.
- Background leveraging data engineering and data science technologies, including digital integration of analytical instrumentation.
- Experience researching new technologies and a demonstrated track record of identifying, developing, and deploying digital and data-rich methodologies.
- Wet-lab experience in (bio)pharmaceutical drug substance, drug product, and analytical research and development.
- Motivation to learn new skills, willingness to take on new challenges, and scientific curiosity.
Responsibilities
- Integrate instrument and equipment platforms with semantic context and data systems to support end-to-end digital workflows.
- Collaborate with experts in automation, data science, modeling, IT, knowledge capture, and chemistry, manufacturing, and controls.
- Partner with researchers to understand experimental needs and translate them into scalable digital workflows.
- Lead high-impact projects from concept through deployment across teams and stakeholders.
- Develop automation systems that integrate robotics, instrumentation, equipment, and software.
- Improve existing automation platforms to enhance performance, usability, and reliability.
- Provide hands-on partnership, support, troubleshooting, and training to scientists using the technologies.
- Independently own and deliver technical solutions connecting laboratory equipment, automation systems, and data pipelines.
Benefits
- Medical, dental, and vision healthcare and other insurance benefits for employees and family.
- Retirement benefits, including 401(k).
- Paid holidays, vacation, and compassionate and sick days.
- Annual bonus and long-term incentive, if applicable.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
