Associate Director Data Operations (m/f/d)
- 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 omics) 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.
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
Profile
- Education: PhD in a quantitative / computational science (e.g. bioinformatics, engineering, machine learning, statistics, physics, mathematics, ...)
- Languages: Fluent in English (oral and written)
- 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 …).
- Excellent communication and stakeholder management skills
- Knowledge of CDISC data standard (SDTM, ADaM),
- Experience with pooling of clinical trial data. Understanding of the drug discovery and development process. Experience working in the field of Immunology or Cardiology/Renal/Metabolic diseases
- 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. Experience in using the Foundry platform for data analysis
Benefits
- A very renowned company
- You will work in an international environment
About Hays
IT is and always has been our core business that laid the foundation for Hays' success. We are the biggest privately owned IT recruitment agency in Germany and offer the best jobs for every career level – whether you are interested in vacancies in agile SMEs or international DAX groups. Hays masters the entire IT job spectrum, from support to software architecture or digitalisation – thanks to our broad portfolio, we have something for everyone. In the last decades, we were able to support numerous IT experts with choosing the right path for a successful career, positioning ourselves as their lifelong partner. Our highly specialised consultants can cater to your every wish and expectation and will prepare you for interviews and contract negotiations. Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you.
Staffing process for freelance specialists
- Analysis of qualifications
- Telephone or personal interview
- Contact with customers
- Contract with Hays
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1. Analysis of qualifications
We carry out a detailed analysis of your technical qualifications on the basis of your CV, your application documents and your profile.
Contact at Hays
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