Data Systems Principal Scientist, Regulated Bioanalytics, Robotics, LIMS & Data Management

Merck KGaA Darmstadt Germany

Full-time - Senior

Onsite

Chemical Manufacturing

About the position

The Data Systems Principal Scientist will lead the LIMS & Data Management group within the PDMB Regulated Bioanalytics Department, focusing on enhancing the efficiency of processes, data review, and visualization tools to support vaccine development. This role will initially be based at the Springhouse Innovation Park facility while the new AdVAnce GxP research facility is under construction. The successful candidate will provide scientific direction, mentor data scientists, and collaborate with various stakeholders to implement innovative IT solutions for bioanalytical data management.

Responsibilities

• Leads and mentors data scientists up to PhD level by providing direction, scientific feedback, and ideas.
• Represents LIMS & Data Management in early/late vaccine development teams and influences data strategies together with stakeholders.
• Communicates results effectively in presentations to stakeholders in partner organizations or at external scientific meetings, writes technical reports, and participates on cross-functional teams.
• Provides scientific oversight of strategy, development, and validation of IT solutions for visualization tools for the review of experimental data and for IT tools used to track material through automated systems.
• Designs, assesses, and implements novel approaches and technology for data management, bioanalytical systems, data insight tools, and other applications required during non-clinical and clinical bioanalytical testing.
• Benchmarks current approaches/techniques to the industry standards.
• Remains current in the field and maintains an external presence in the field of data management.
• Identifies opportunities for new collaborations, engages collaborators, identifies business needs and values, and proposes proper solutions.

Requirements

• PhD in Biological Sciences, Biomedical Engineering, Data Sciences, Computer Science or related area with 8+ years of relevant experience; MS degree with 10+ years; or BS degree with 14+ years of relevant experience.
• Deep understanding of statistical methods to analyze and visualize large data sets.
• Significant experience in algorithm development and implementation.
• Significant experience with software visualization programs.
• Knowledge and hands-on experience in areas such as discrete mathematics, constrained multi-objective optimization, dynamical modeling and simulation, machine learning, pattern recognition, data mining, and statistics.
• Familiarity with computer control concepts to assist in troubleshooting and implementing computer-based lab automation and instrumentation.
• Excellent oral and written communication skills; ability to work independently and as a scientific mentor.
• Strong ability to deliver complex objectives under aggressive timelines in a rapidly changing environment.
• Working knowledge of regulatory and industry guidelines in the area of bioanalytical testing, preferably in the vaccines field.

Nice-to-haves

• Project management skills.
• Record of peer-reviewed scientific publications.
• Experience working in a GLP bioanalytical laboratory.

Benefits

• Hybrid work model with three days on-site per week and remote work on Fridays.
• Commitment to inclusion and diversity in the workplace.