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Data Scientist (Healthcare)

Location: Basel
Sektoren AI, Machine Learning & Robotics
Anstellungsart Temporär
Gehalt Negotiable
Reference: BBBH578961

Data Scientist

Experis is the global leader in professional resourcing and project-based workforce solutions.

On behalf of our global client located in Basel, Switzerland we are looking to recruit a Data Scientist for a contract opportunity of 12 months with potential for extension.

The perfect candidate:
The perfect candidate is a team player who thrives working in a collaborative environment. She/he is equipped with a passion to apply his hands-on experience in data science to make a difference in healthcare, with demonstrated past application of data science methods and technologies to deliver the highest quality solutions.

General Information:
* Start date: 1.10.2023 or latest 01.11.2023
* Duration: 12 Months
* Extension: possible
* Workplace: Basel
* Workload: 100%
* Remote/Home Office: 40% on-site at least

Tasks & Responsibilities:

  • Develop predictive algorithms using real world clinical data (electronic medical records) to address clinical needs
  • Work within an intercontinental algorithm development team to distribute and complete tasks including algorithm ideation and inception, data processing, data exploration and model development in a validated cloud computing environment
  • Present weekly updates to the algorithm development team and monthly updates to clinical development collaborators
  • Build efficient and scalable algorithm pipeline that integrate seamlessly with existing software infrastructure
  • Implement data ingestion, transformation, and integration steps to ensure data quality and consistency
  • Create modular and reusable code components to accelerate algorithm development
  • Implement rigorous testing procedures to validate the accuracy and reliability of algorithm outputs
  • Conduct thorough debugging and troubleshooting to identify and resolve issues within the algorithm pipeline
  • Document code, algorithms and pipeline architectures comprehensively to facilitate knowledge sharing
  • Collaborate with colleagues from other functions (e.g. clinical development, evidence generation, real world data, product development) to identify areas of unmet medical need

Must Haves:

  • Master's or higher degree in Computer Science, Data Science, or related quantitative field including scientific computing, machine learning or data science, and preferably application of quantitative modeling in healthcare and medicine
  • Min. 3 years experience in Data Science in a research environment, preferably in the healthcare or pharmaceutical sector
  • In-depth knowledge of machine learning algorithms, statistical methods and data processing techniques, in particular in the domain of real-world healthcare data
  • Strong proficiency in programming languages such as Python, R
  • Strong Communication skills in English for presentations and discussions with specialists and non- specialists, collaboration and teamwork, ability to see a research project through from inception to completion
  • Hands-on experience with data preprocessing, feature extraction, and model training using state of the art libraries (e.g., scikit-learn)
  • Experience with version control systems (e.g., Git) and continuous integration tools
  • Proficiency in building scalable software systems and designing modular architectures
  • Strong problem-solving skills and ability to analyze complex datasets
  • Google suite, Jira, Trello

Nice to Have:

  • Familiarity with containerization and orchestration tools
  • Previous work on algorithm pipelines in a production-ready environment
  • Previously contributed to open-source projects related to data science and software engineering

Interested in this opportunity? Kindly send us your CV today through the link in the advert. However, should you have any questions please contact Elaine Kanwar at +41 61 282 22 23

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