Junior Data Scientist

About the Role

This opportunity is with a worldwide biopharmaceutical company dedicated to enhancing decision-making in research and development through scientific data, intelligence, and analysis. The organization promotes a collaborative workspace where data science, artificial intelligence, and scientific knowledge merge to produce valuable insights from biomedical information sources.

Key Responsibilities

• Create and maintain automated processes that facilitate the analysis of scientific data.
• Use analytical and data science methods to detect patterns and derive insights from biomedical and pharmaceutical datasets.
• Design and support pipelines for content analytics.
• Leverage AI, natural language processing (NLP), and text-mining methods to process biomedical literature and scientific data.
• Assist in extracting, structuring, and interpreting scientific information.
• Engage closely with multiple teams involved in research and development.

Candidate Requirements

• Holds a Bachelor’s or Master’s degree (or equivalent experience) in Life Sciences, Data Science, Bioinformatics, Computational Biology, Computer Science, or similar disciplines.
• Proficient in programming languages such as Python, R, or related tools.
• Strong skills in analysis and problem resolution.
• Genuine interest and prior experience in data science, content analytics, and managing scientific information.
• Ability to effectively collaborate with both technical and scientific team members.
• Familiarity or hands-on experience with NLP, machine learning, scientific datasets, or biomedical literature is highly desirable.

What the Role Offers

• A chance to advance your career within an innovative and rapidly evolving pharmaceutical environment.
• A meaningful role contributing to early stages of drug discovery programs.
• Flexible working conditions alongside supportive colleagues.
• Competitive daily compensation.