Job description
At nemensis ag, we connected thousands of applicants with their dream jobs and gave them the opportunity to develop or re-enter the job market. For our client, an international pharmaceutical company in Basel, we are in search for a Data Scientist (Biostatistician) (f/m/d).
Job Purpose:
The Data Scientist will work alongside quantitative scientists, domain experts and product developers to ensure teams succeed in answering scientific questions using the data42 platform. They will help our users to apply and develop analytical methods and predictive models that deliver impact on research and drug development programs. Furthermore, they will collaborate on analytical pipelines (e.g. for imaging or genomics) that can be re-used across the platform. Within the project and when working with our users, data42 data scientists will develop and advocate for good data science practices. data42 Data Scientists will also contribute to the design of our platform, to make it accessible, useful and an appealing toolset for the whole data science and AI community at the company.
Your responsibilities:
- Ensure that scientific teams are enabled and supported to achieve their goals at data42.
- Contributes to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses.
- Develops frameworks for generation and reporting of key results, quality benchmarks for data, models, and impact in collaboration with our data scientist users.
- Applies their expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of their team.
- Acts as an advocate for good data science practice across data42.
- Platform users can achieve their analytical goals on the platform. Where possible, proof of concept studies are progressed and developed into reusable analytical tools and pipelines.
- Data and user feedback loops drive continuous improvement. Analytical tools and predictive models build the value of the data42 platform for the wider company community over time.
Your profile:
- PhD in a quantitative / computational science (e.g. bioinformatics, machine learning, statistics, physics, mathematics, ...)
- Fluent in English (oral and written)
- Strong experience with Python for data analysis (scikit-learn, numpy, …)
- Experience with R for data analysis (tidyverse, mlr, ...)
- Reproducible data science (notebooks, git/versioning …)
- Experience with computational environments for large-scale data science (e.g. high-performance computing or Spark)
- Statistical and machine learning, and / or applied deep learning methods for time series data or images is desirable
- Bioinformatics (around DNA / RNA / proteomics data analysis) and/or statistical genetics is a plus
We look forward to receiving your application!
For further questions please contact:
Nicolas Gerster, +41 61 205 98 69, [email protected]
