Senior Data Engineer
Mission
We are seeking a talented Senior Data Engineer to lead the development and optimization of data pipelines and infrastructure to support our cutting-edge research programs. As a successful candidate, you will be part of the newly created Data Science R&D Department and will work in synergy with a cross-functional team of data scientists, bioinformaticians, and clinical researchers. You will be responsible for designing, building, and maintaining scalable data architectures, ensuring the efficient processing and integration of high-dimensional datasets, including but not limited to genomics, transcriptomics, proteomics, and clinical data. Your strong technical expertise and innovative drive will be essential to enable comprehensive data analysis and generate actionable insights that support our R&D projects. You will also be expected to provide pragmatic software engineering solutions to develop tools for data management, analysis, and visualization. You will be a pivotal team member that helps streamline data workflows and enhance the overall efficiency of our research efforts by leveraging advanced data engineering techniques and technologies.
The successful candidate enjoys working in a very dynamic, fast-paced, and cross-functional environment and is eager to help advance our understanding of disease mechanisms and therapeutic targets by using their data engineering skills to translate complex biological and clinical data into meaningful insights.
Tasks & Responsibilities
- Develop, test and apply data processing and analysis pipelines for different omics technologies, especially transcriptomics and proteomics
- Build scalable predictive models using machine learning and deep learning methods to support computational biology applications in drug discovery projects.
- Design and build data visualisation tools to speed up the decision process in R&D
- Design, implement and apply novel computational methods to speed up the decision processes through the entire R&D
- Implement new data analysis pipelines according to the requirements of the data scientists.
- Member of the IT/Data Science implementation project teams, providing key technical and data analysis packages for computational R&D portfolio projects
- Interact very closely with different IT teams and the data science teams to implement the appropriate tools and computational infrastructure
- Ensure the delivery and quality of the data transfer protocols packages contracted in CROs and in scientific collaborators.
- Evaluation of lab data management and data processing companies
- Supervision of data ingestion and transfer protocols and programming activities
Education
- Bachelor's degree in Computer Science, Physics, or a related field. PhD on a quantitative science is a plus
Specific Knowledge
- Fluent in English and Spanish
- Knowledge bioinformatic concepts and methods, and experience applying them in a R&D setting
- Good knowledge of software development best practices and code version control
- Excellent communication skills, with the ability to work effectively with both technical and non-technical stakeholders
Experience
- At least 4 years of experience working in a similar role in the pharmaceutical/biotech industry
- Strong experience in data management & setting up bioinformatic pipelines and infrastructure
- Experience with FAIR concepts and with the application of processes for making data FAIR.
- Hands-on experience with cloud computing and/ or HPC (High Performance Computing)
Values
- Care; we listen & empathize, we value diverse perspectives & backgrounds and we help each other succeed.
- Courage; we challenge the status quo, we take full ownership and we learn from our success & failures
- Innovation; we put the patient and customer at the center, we create novel solutions and we empower entrepreneurial mindsets.
- Simplicity; we act decisively and avoid over-analysis, we understand why before we act and we are agile & keep things simple.)
