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Expired
  • Location: London
  • Salary: Competitive salary + fully remote role
  • Job Type:Permanent

Posted over 1 year ago

  • Sector: Digitalisation & Informatics
  • Contact: Gabby Boczon
  • Contact Email: gabby.boczon@nextphaserecruitment.com
  • Contact Phone: 01403 216216
  • Start Date: 2022-07-14
  • Job Ref: V-47406
Do you have experience working within Digital Transformations? Do you have experience with Scientific Informatics Solutions such as LIMS,ELN, CDS, SMDS? Do you have experience in ideating, designin and deploying solutions to build the modern R&D informatic landscapes?
 
The client that I am currently working with is a global specialist who provides services in scientific informatics. This company works with 7/10 biggest pharmaceutical companies and have expended to 1200 employees globally since 2008. They are currently looking for a lead consultant who is based in UK, Switzerland or Europe.
 
Experience required for the Lead Digital Transformations Consultant:
• 8 years or more in a scientific/ science-driven industry
• Background in Chemistry, Biology, Scientific Informatics or Manufacturing,
• Ability to start new engagements and conversations at the highest level within a customer,
• Proven Experience with Scientific Informatics solutions (e.g. LIMS, ELN, CDS, SDMS, Instruments),
• Experience in management or digital consulting,
• Having deployed Scientific Informatics Enterprise solutions for large accounts,
• Problem Solving & Analytical Thinking and Decision Making,
• Strong understanding of established and evolving industry standards and best practices driving digital transformation,
• Strong collaborations skills with the ability to manage several tasks simultaneously and a self-starting, proactive approach,
• Proven experience with IT processes and methodologies – Waterfall, Agile, Safe, CI/CD, DevOps, ITIL and associated tools,
• Experience with Change Management aspects of Technology transformation with large organizations,
• Plugged-in to emerging commercial and open-source technologies & solutions.
Nice to have:
• Good understanding of IT Enterprise Architecture, Data Modelling, Master Data management, Data Sciences, Omics & Ontology development,
• Experience with cloud-based data storage and analytics platforms,
• Experience with commonly used technology solutions supporting Big Data, RPA, Analytics Business Intelligence, HPC, AI/ML.