Data, AI & Engineering Opportunities | Life Sciences
Fuld tid
Amsterdam Data Collective
- Hybrid
- Copenhagen, Sjælland, Denmark
- Engineering & Analytics
Job details
Job description
Are you interested in applying your data, engineering, cloud, or AI expertise within the Life Sciences industry? We are always looking for talented professionals to join the project teams driving this work forward.
At ADC, our Engineering & Analytics (Life Sciences) team is engaged across the full R&D data value chain for pharmaceutical and biotech organisations, from early discovery through clinical development. Our work spans scientific data engineering and GenAI solutions across omics, molecular data and AI engineering. We're also delivering data products and GenAI capabilities that support clinical development and operations within regulated LS environments.
How this connects to our current work
Our team is actively working across the following areas within Life Sciences:
- Omics engineering: building scientific data engineering and GenAI solutions across omics, molecular data and AI engineering, including data-analysis platforms.
- Bioinformatics: delivering end-to-end AI solutions built on industry best practices, combining deep domain knowledge with engineering excellence for clinical and biological data.
- Clinical data engineering: working with synthetic data flows, clinical data platforms and pipelines, and driving coding best practices in clinical development.
- LLM and generative AI applications in pharma: having hands-on experience building agentic and LLM-based products in regulated environments such as Databricks and Azure OpenAI.
- Data engineering: building and maintaining pipelines and migration engineering that regulated enterprise rollouts depend on.
We welcome applications from all seniority levels, from junior professionals to experienced specialists and senior consultants.
What you'd be working on
Our teams are currently working on a wide range of projects, including:
- Clinical, biomedical, omics, or pharmaceutical data
- Reliable and scalable data pipelines
- Cloud and data platforms such as Databricks
- Technologies such as Python, SQL, Spark, and MLflow
- Machine learning, LLMs, or generative AI within Life Sciences
- Bioinformatics or computational biology solutions
What happens after you apply
We'll review your profile, and if it matches what we're currently working on, we'll reach out for an introductory conversation. As this pipeline is intended for future hiring and project needs, there is no specific timeline associated with the application.
*Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in . We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.
Hybrid
- Copenhagen
Engineering & Analytics
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