Data Scientist (f/m/d) - 100%

For our client, an international pharmaceutical company with headquarters in Basel, we are looking for a new team member as a

You should bring expertise in two or more of the following areas:

• Analysis of omics data of various modalities
• Experience with data from Immunology or Cardiology/Renal/Metabolic diseases
• Applied/computational data science and large-scale/‘big data’ computation
• Development and management of disease area focused data pools
• Biostatistics for the analysis of clinical data (SDTM/ADAM) and/or RWE data
• Machine learning/deep learning and large language models

You will work alongside quantitative scientists, domain experts and product developers to ensure teams succeed in answering scientific questions using the internal data platform of our client. You will help the users to apply and develop analytical methods and predictive models that deliver impact on research and drug development programs. Furthermore, you will collaborate on analytical pipelines (e.g. for imaging or omics) that can be re-used across the platform. Within the project and when working with the users, you will develop and advocate for good data science practices. You will also contribute to the design of the platform, to make it accessible, useful and an appealing toolset for the whole data science and AI community.

Tasks and responsibilities

• Ensure that scientific teams are enabled and supported to achieve their goals at the data platform
• Contribute to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses
• Develop frameworks for generation and reporting of key results, quality benchmarks for data, models, and impact in collaboration with data scientist users
• Apply expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of involved teams
• Act as an advocate for good data science practice across the data platform

Your profile

• PhD in a quantitative/computational science (e.g. bioinformatics, engineering, machine learning, statistics, physics, mathematics)
• At least 2 years of professional experience in the pharmaceutical sector
• Experience with bioinformatics (around DNA / RNA / proteomics data analysis) and/or statistical genetics and/or biostatistics
• Strong experience with R or python for data analysis and statistical modelling
• Experience in using machine learning models to predict clinical endpoints using multimodal data
• Experience with use of AI/GenAI/LLMs for automating or accelerating data- or data science related processes
• Experience with the principles and tools of good data science practice (e.g. git/versioning)
• Fluent in English (oral and written)

General information

• Start date: asap
• Duration of employment: currently planned until the end of 2024 (prolongation tbd)
• Place of work: Basel (hybrid)
• Workload: 100 %