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# Pharmaceutical Data Scientist

- **Company:** EUROFINS
- **Location:** Groton, CT, United States
- **Salary:** $59,280 - $80,080
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Bioinformatics, Cloud Computing, Computer Programming, Databases, Data Integration, Data Visualization, Graph Database, Design of User Interfaces, Python (Programming Language), Machine Learning, Metadata, Raw Data, Scientific Computating, Systems Integration, Unstructured Data, Web Applications, Data Processing, High Performance Computing, Large Language Models, Deep Learning, Generative AI, Jupyter, Git, Information Technology, Data Analytics, Software Version Control
- **Published:** November 14, 2026
- **Apply:** https://jobs.smartrecruiters.com/Eurofins/744000161543789-pharmaceutical-data-scientist

## About the Role

* Bachelors degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Bioinformatics, Cheminformatics, Computational Science, Chemistry, Materials Science, Chemical Engineering, or a related quantitative/scientific discipline.
 * Strong programming skills, preferably in Python, with demonstrated ability to analyze data and develop computational solutions.
 * Experience with Pharmaceutical data analysis, processing, scientific computing, statistics, machine learning, AI, or scientific informatics.
 * Experience working with chemistry, pharmaceutical, materials-science, or laboratory-generated scientific data.
 * Demonstrated ability to work with complex and heterogenous scientific datasets, including extracting, transforming, integrating, and analyzing structured and/or unstructured data. translate scientific questions into data-driven analyses or computational solutions.
 * Familiarity with modern data-science, scientific computing, and machine-learning tools, libraries and frameworks.
 * Strong analytical and problem-solving skills.
 * Effective written and verbal communication skills and the ability to collaborate within multidisciplinary scientific teams., * Experience developing scientific software, analytical applications, visualization tools, dashboards, automated workflows, or APIs.
 * Experience with scientific databases, data integration, metadata, ontologies, knowledge graphs, or scientific informatics.
 * Hands-on experience developing or applying machine-learning, deep-learning, generative-AI, or large-language-model approaches.
 * Familiarity with modern software-development practices, including Git/version control, testing, documentation, and reproducible computing.
 * Experience developing interactive scientific applications and user interfaces, including notebook-based environments such as Jupyter/JupyterLab and web-based frameworks or visualization platforms.
 * Experience with cloud computing, high-performance computing, or scalable data-processing environments.
 * Demonstrated ability to take a scientific problem from raw data * structured data * analysis/model * automated workflow or usable computational solution.

## Description

We are seeking a highly motivated Data Scientist to join our team within the Pharmaceutical Small Molecule Materials Science Computational Sciences group. The successful candidate will work at the interface of materials science, scientific informatics, data science, artificial intelligence/machine learning, and computational tool development.

This role will collaborate closely with experimental and computational scientists to develop scientific and automated workflows, data-driven approaches, AI/ML models, scientific applications, and informatics solutions that improve how scientific data are accessed, parsed, analyzed, connected, visualized, and used for decision making.

The position offers an opportunity to contribute to an evolving computational-experimental ecosystem connecting scientific data, predictive models, AI, and experimental knowledge., * Develop and apply data science, AI/ML, and informatics approaches to address Pharmaceutical Materials Science challenges.

 * Build scientific data workflows, analytics, and visualization tools that enable effective use of experimental and computational data.
 * Develop tools and pipelines to extract, transform, standardize, and integrate data from experimental & computational workflows
 * Automate repetitive or manual scientific data-processing and analysis workflows to improve efficiency, reproducibility, and scalability
 * Design, develop, validate, and deploy computational tools and scientific applications supporting research and development workflows.
 * Integrate diverse scientific datasets to enable data-driven insights, predictive modeling, and decision making.
 * Partner with experimental and computational scientists to identify high-value opportunities and translate scientific needs into practical digital solutions.
 * Promote reproducible scientific computing, good software-development practices, and adoption of data and AI capabilities across the organization.