Data Scientist - Basel, Schweiz - Datalynx AG

Datalynx AG

Geprüftes Unternehmen

Basel, Schweiz

vor 2 Wochen

Geschrieben von:

Lena Schneider

beBee Recruiter

For our client, a well-known pharmaceutical company in Basel, we are looking for a Data Scientist (M/F/d).

Background:

General Information:

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:

Min. 3 years experience in Data Science in a research environment, preferably in the healthcare or pharmaceutical sector
Indepth knowledge of machine learning algorithms, statistical methods and data processing techniques, in particular in the domain of realworld 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

Handson experience with data preprocessing, feature extraction, and model training using state of the art libraries (e.g., scikitlearn)
Experience with version control systems (e.g., Git) and continuous integration tools
Proficiency in building scalable software systems and designing modular architectures

Nice to Haves:

Familiarity with containerization and orchestration tools
Previous work on algorithm pipelines in a productionready environment
Previously contributed to opensource projects related to data science and software engineering

Contact:

Jan Schmitz-Elsen
Talent Acquisition Consultant