Bioinformatician / Data Scientist

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Bioinformatician / Data Scientist
Location: Berlin, Germany
Type: Permanent (Full-time)
Start Date: As soon as possible / by arrangement

ABOUT DAINA
DAiNA is a precision-oncology company focused on enabling personalized cancer treatment
for individual patients. We combine comprehensive molecular tumor data including genomics,
transcriptomics (bulk, single cell and spatial), proteomics and epigenetics, with AI-driven
analysis. Our platform connects multi-omic profiling with functional ex-vivo tumor models and
personalized liquid-biopsy monitoring, creating a continuous workflow from biopsy and
treatment selection through to therapy monitoring and adaptation. We also operate GMP
manufacturing to produce individualized N=1 therapeutics. In short, we help physicians make
more informed, personalized treatment decisions based on high-dimensional molecular tumor
data.
For more information, visit: www.daina.com

THE ROLE
As Bioinformatician / Data Scientist, you will be part of DAiNA’s in -house computational
oncology and data team. You will support the generation, structuring, processing and analysis-
readiness of high-dimensional patient data across genomics, transcriptomi cs, proteomics,
epigenetics, liquid-biopsy and functional ex-vivo datasets.
This role is highly hands -on and sits at the interface of bioinformatics, data engineering and
translational oncology. You will ensure that data is properly ingested, organized, quality -
controlled, documented and made available for downstream analyses, cli nical interpretation
and digital-twin development.

WHAT YOU’LL DO
• Support DAiNA’s bioinformatics and computational oncology workstream across
genomics, transcriptomics, single- cell/spatial data, proteomics, epigenetics, liquid -biopsy
and functional ex-vivo data.
• Handle, structure and process large biological and clinical datasets, ensuring they are
clean, well-annotated, traceable and analysis-ready.
• Contribute to data ingestion, storage, processing, versioning, provenance tracking and
documentation across the full data lifecycle.
• Support reproducible multi -omics pipelines from raw data intake through QC,
preprocessing, alignment, variant calling, expression analysis and downstream data
preparation.
• Automate recurring data processing, QC and reporting tasks to improve scalability,
reproducibility and team efficiency.
• Work with other team members to maintain and improve internal workflows, pipeline
components, documentation and data standards.

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WHAT YOU BRING
• MSc or PhD in bioinformatics, data science, computational biology, systems biology,
biomedical informatics or a related quantitative field.
• Hands-on experience working with biological datasets, ideally human NGS data
• Experience working with Linux-based compute environments, ideally including HPC and/or
cloud infrastructure.
• Familiarity with biological variant, expression, functional and clinical databases, and the
ability to use them for data annotation, harmonization and downstream analysis.
• Proven ability to create structured, focused and traceable documentation of data
processing steps, workflows and analysis outputs.
• Experience with data handling, preprocessing, QC, documentation and reproducible
analysis workflows.
• Strong attention to detail and an understanding of why traceability, reproducibility and
auditability matter in translational or clinical data environments.

NICE TO HAVE
• Experience with oncology, clinical genomics, liquid biopsy, ctDNA, multi -omics or
personalized medicine.
• Experience integrating heterogeneous data types, including molecular, clinical, imaging,
pathology or ex-vivo functional testing data.
• Familiarity with ML/AI workflows in biology or medicine, including preparation of structured
datasets for modelling.
• Experience with databases, APIs, metadata management or data lake/lakehouse
concepts.

WHY DAINA
• Employer contributions toward private health insurance or supplementary health coverage,
as well as pension or retirement savings.
• Performance-based bonus opportunity, depending on company and individual performance.
• Hybrid model with ~60% of working time expected on-site and the rest remotely, depending
on team and business needs.
• A personal development budget for conferences, courses, certifications, and training.
• The opportunity to work directly on real patient cases and help shape a first-in -class
precision-oncology platform
• A proactive, collaborative team with fast decision-making and strong ownership of your
domain.

HOW TO APPLY
Send your CV and a short note on why this role fits you to recruiting@daina.com , quoting
“Bioinformatician / Data Scientist” in the subject line. We review applications on a rolling basis
and aim to reply quickly.

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DAiNA is an equal -opportunity employer. We welcome applicants of every background and assess every candidate on
merit, regardless of age, gender, ethnicity, religion, disability, sexual orientation or origin. If you need any adjustment t o
the process, let us know in your application.