The Life Science Career Network

CTC are specialised industry experts who can help companies source the best talent and provide reliable HR and consulting services, support varied candidates in finding promising career opportunities and offer the latest in skill development training programmes.  

Our client, an innovative and dynamic bio-pharmaceutical company headquartered in Switzerland, covering multiple therapeutic areas, committed into delivering products on the market over the next 5 years, is looking for a for a contract based in Basel area for a:

Team Lead Data Engineering (4941)

Main Responsibilities:

  • Advance the existing research platform and unveil the value of the data
  • Drive data FAIRification: User awareness and coaching, data standardizing and meta-data extraction and technical solutions for storing and finding research data
  • Create low-code/no-code solutions in top of our data resources and make the data accessible within research
  • Take technical ownership of data sources, e.g., for raw data, compound management, (Bio-) sample management, and data analysis systems
  •  Oversee comprehensive requirements analysis and software vendor selection processes
  • Lead commercial software customization, migration, and integration efforts
  • Foster an efficient collaboration with the IT department, especially the infrastructure team
  • Ensure an aligned culture of excellence in software design and coding standards
  • Encourage the use of modern software development methodologies

Qualifications and Experience:

  • Master, PhD or equivalent experience in computer science, chemistry, biology, or physics, with a focus on supporting drug discovery scientists and processes
  • 10+ years of experience in scientific computing in a pharma research environment
  • Excellent overview about the drug discovery process in pharma / biotech
  • Data-driven mindset, ability to understand different data domains, find technical solutions to manage data, drive Data FAIRification (findability, accessibility, interoperability, and reusability), and build solutions to extract knowledge from data
  • Strategic mindset to enable the right decisions in a VUCA (volatility, uncertainty, complexity, and ambiguity) environment
  • Cheminformatics and/or bioinformatics experience
  • Expertise in scientific software engineering and architecture
  • Expertise in SQL
  • Expertise in low-code/no-code solutions such as Oracle APEX, AWS Amplify, Spotfire
  • Experience in micro-services and distributed systems, REST endpoints such as OpenAPI 
  • Expertise in Java and common frameworks is a plus
  • Expertise in data structures, algorithms, and machine learning
  • Expertise in cloud computing (AWS) 
  • Lean thinking capability to drive process simplicity throughout the organization by leveraging technology solutions
  • Managerial and leadership skills as well as excellent communication and negotiation skills are a requirement to be successful in this key service-oriented position within the research organization
  • Fluent in English; ability to communicate in German and French is an advantage

Would you like to learn more about CTC and the opportunity outlined? Please, get in contact with us: you may either use the 'apply now' button, or write an email to us.