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We're working with a global biopharmaceutical organization that supports scientific information, intelligence, and data-driven decision-making across research and development. They foster a highly collaborative environment where data science, AI, and scientific expertise converge to generate insights from biomedical information sources.
The Role
- Develop and support automated workflows for scientific data analysis
- Apply data science and analytical techniques to identify trends and generate insights from biomedical/pharmaceutical data
- Build and maintain content analytics pipelines
- Utilize AI, NLP, and text-mining approaches to analyze biomedical literature and scientific datasets
- Support the extraction, organization, and interpretation of scientific information
- Collaborate with cross-functional stakeholders across research and development
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What You'll Need
- A BSc/MSc (or equivalent experience) in Life Sciences, Data Science, Bioinformatics, Computational Biology, Computer Science, or a related field
- Good programming skills (e.g., Python, R, or similar)
- Strong analytical and problem-solving abilities
- Interest in data science, content analytics, and scientific information management with demonstrable work experience
- Ability to work effectively with both scientific and technical stakeholders
- Experience with NLP, machine learning, scientific datasets, or biomedical literature is a significant advantage
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What's On Offer
- Opportunity to build your career within a fast-paced and highly innovative pharmaceutical company
- Make a real impact on early drug discovery programs
- Flexible working and supportive colleagues
- Good daily rate
Apply via Haystack today!
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