Junior Data Scientist

Alternate titles:

Graduate Data Scientist

General role description

Junior Data Scientists support research and analytics teams by helping manage and analyse data. They assist with data cleaning, exploratory analysis, and the development of simple models, often under the guidance of more senior colleagues.

Their work helps generate insights that inform clinical research, support business operations, and guide decision-making in areas like healthcare delivery, product development and policy.

They typically work in collaborative teams that include analysts, researchers, clinicians, and software engineers.

Key responsibilities

  • Assist with data cleaning, processing and preparation
  • Perform basic statistical analysis and data visualisation
  • Support the development and testing of simple predictive models
  • Work with senior team members to translate data into insights
  • Help maintain documentation, dashboards and version control
  • Contribute to team discussions and project updates.

Workplace settings

  • Not-for-profit, government, peak body and advocacy organisations involved in research
  • Hospitals and healthcare settings
  • Pharmaceutical, biotechnology and medical device companies
  • Contract research organisations (CROs).

Required qualifications

  • A degree in data science, statistics, computer science, biostatistics, mathematics, or a health-related field.

Other notable requirements

Junior Data Scientists often need:

  • Familiarity with data analysis tools such as R, Python or SQL
  • Basic understanding of statistical concepts and data wrangling
  • Good communication and documentation skills
  • Attention to detail and a willingness to learn
  • Ability to work as part of a multidisciplinary team.

Common entry points

Graduate programs or internships in data science

University honours, master’s, or PhD programmes with a data science focus

Common Next Roles

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