Data Scientist II
The Data Scientist II at Eva Pharma will develop advanced AI/ML models (including LLMs) to extract healthcare insights from structured/unstructured data, supporting evidence-based decision-making in pharmaceutical research while collaborating in a mission-driven, innovation-focused team.
Skills required
About this role
Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.
Job Summary:
We are seeking a passionate and talented Data Scientist II to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.
Key Responsibilities:
- Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges.
- Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement.
- Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact.
- Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions.
- Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
- 2-4 years of experience as a Data Scientist or in a similar analytical role.
- Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports.
- Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences.
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