Data Science Intern: AI Data Curation (Paid) – Life Sciences

Location:

Type:

Company:

AI-first tools to transform drug discovery development

Data Science Interns

hands-on experience at the intersection of AI, data science, and life sciences

• Curate, clean, and annotate

  domain-specific datasets

  , including:

• Scientific publications, clinical protocols, and regulatory documents

  for training large language models.

• Biomedical and genomic data

  for structured AI pipelines.
• Use

  advanced tools and databases

  (Weaviate, Neo4j, SQL/NoSQL) to organize and manage

  large-scale, multimodal datasets

  .
• Support

  data pipeline validation and quality checks

  to ensure clean, structured training data for AI models.
• Assist with

  document chunking, metadata tagging, and knowledge graph development

  to enhance retrieval and structuring of scientific and clinical data.
• Collaborate with AI engineers and domain experts to align data curation with

  project goals

  .

• Background:

  Pursuing or recently completed a Bachelor's/Master’s in

  Data Science, Computer Science, Life Sciences, Biomedical Engineering, or related fields.

• Skills:

• Strong in at least one domain with working knowledge of the other:

data science

• Proficiency in

  Python

  (libraries like pandas, numpy, pytorch).
• Exposure to

  SQL

  , and ideally to graph/vector databases (Neo4j, Weaviate).
• Experience with

  data cleaning, ETL workflows, or text processing (NLP preprocessing)

  .
• Curiosity to understand

  life sciences contexts

  .

life sciences

• Knowledge of

  biomedical or clinical data structures

  , scientific literature, or genomics.
• Ability to use

  Python or spreadsheets for basic data analysis

  .
• Interest in applying

  data science tools

  to life sciences problems.

Mindset:

• Comfortable with ambiguity and learning complex domain contexts.
• High attention to detail with a commitment to

  data quality

  .
• Aligns with Dizzaroo’s values of creativity, flexibility, and challenging the status quo.

• Exposure to

  real-world AI model training pipelines

  using

  structured and unstructured data

  in drug discovery development.
• Experience with

  advanced data infrastructure and tooling

  for cutting-edge AI workflows.
• Opportunity to contribute to impactful projects across

  knowledge management, multimodal data integration, and computer vision in diagnostics

  .
• Potential pathway to

  full-time opportunities with Dizzaroo

  based on performance.

CV and a brief note on why you are interested in this role