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Preferred site locations: Upper Merion, Stevenage, or Upper Providence. On-site presence of 2-3 days per week required.
Are you energized by a highly collaborative scientific role in analytical chemistry platforms that allows you to accelerate scientific and R&D delivery? If so, this role could be an ideal opportunity to explore.
The Digital Analytical Platforms team within Analytical Development is responsible for innovations to assess and when warranted implement platforms that enhance analytical chemistry through digitization and efficiency gains. The primary purpose of this collaborative role is to improve and leverage the fleet of open-access non-GMP chromatography platforms to accelerate discovery and development across a diverse and global user group. These open-access instruments are integral to our license to operate, and support most of our potential medicines.
As a Senior Scientist in Digital Analytical Platforms, you will propose and deliver near term tactical solutions and contribute to long term strategic solutions. You will use quantitative and/or qualitative data and analysis using chromatography instruments and methods, and systems engineering to advance platform technologies. In addition, you will enable a high standard of data integrity and technical efficiency applied towards scientific methodology.
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
1. Contribute to the design and independent execution of root cause analysis and experiments based on interpretation of results
2. Maintain a scientifically current to state-of-the-art chromatography systems
3. Provide attention to data quality, integrity and archiving for own work
4. Propose, and with support implement, new research directions and innovative strategies to achieve project, platform, and department goals
5. Perform complex data management and data interpretation tasks/analyses
6. Identify bottlenecks, and systematically evaluate and assess root causes of errors in the laboratory, differentiating with rigor between inefficiencies arising from human, software, hardware, firmware, and/or chemical sources.
7. Deliver automated and/or digital solutions to reduce or eliminate common failure modes
8. Design and interpret complex experiments and data management activities, and make recommendations on how these could be best leveraged
9. Make effective decisions to achieve desired outcomes of project team through technical or scientific interpretation of results
10. Maintain and grow our support network with partner departments
11. Contribute to a collaboration with Agilent to deliver improvements as required
12. Develop networking skills with internal and external stakeholders and experts in specific scientific disciplines
13. Identify new scientific and or engineering opportunities, which may include analytical data pipeline and visualization projects that support the discovery and development of candidate medicines.
14. Adhere to safety, regulatory and compliance standards within the department
15. Contribute to peer-review of others’ work
16. As situationally warranted, contribute as co-author to scientific papers
17. Seek peer challenge and review of scientific ideas and experimental design
18. Prepare detailed oral or written reports of results in the context of strategic fit, feasibility and rationale for projects
19. Present at internal Research and Development forums and external meetings subject to budget availability
20. After doing so jointly with peers, begin to independently prepare and communicate conclusions and recommendations for next steps
21. Demonstrate networking skills through interactions across departments and divisions
22. Lead small projects/project sub teams to achieve technical or business outcomes
23. Active and influential scientific participant in at least one project/program
24. Update supervisor and matrix leaders to inform progress and activities
25. Anticipate problems and proactively seek input from other teams/divisions within Research and Development
26. Use scientific and or engineering technical expertise to solve project related problems of colleagues and of other projects
Basic Qualifications:
1. M.S. degree or comparable industrial experience in one or more of the following areas:
2. Preferred: chemistry (analytical, organic, biochemistry), engineering (chemistry, systems, data, computer, software, industrial, materials), data science or engineering, computer science
3. Considered: chemistry (inorganic, forensic, physical, environmental), engineering (mechanical, biomedical, environmental)
4. Proven track record of solving complex problems
5. Experience analyzing data
6. Strong communication
7. Learning agility
Preferred Qualifications:
1. Basic knowledge of regulatory requirements and drug development process
2. Scientific laboratory experience
3. Chromatography experience (HPLC, GC, LC/MS)
4. Data visualization expertise (Spotfire or other)
5. Ability to influence others
6. Coding (Python, C#, R, VBA or demonstrated learning agility to develop these skills, and/or experience working in GitHub)
7. Non-GMP and or GMP systems
8. Risk assessment and or management
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