> Markdown version of [/jobs/ext/1978416-scientist-data-science](https://www.wearedevelopers.com/jobs/ext/1978416-scientist-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Scientist, Data Science - **Company:** AstraZeneca plc - **Location:** Waltham, MA, United States - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Integration, Python (Programming Language), Machine Learning - **Published:** August 7, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/scientist-data-science-waltham-ma-usa-58827638 ## About the Role project teams * Provide computational insights to inform biomarker strategy development * Participate in team meetings and present data-driven insights to advance milestones * Stay current with the latest data science and bioinformatics tools Tasks * Experience with large-scale biological or population datasets (minimum 2 years) * Proficiency in Python or R * Solid foundation in statistical analysis and core machine learning techniques * Hands-on experience with NGS data analysis (RNA-seq, methylation, ChIP-seq, ATAC-seq) * Experience or strong interest in proteomics and multi-omics data integration * Strong problem-solving, attention to detail, and ability to manage multiple tasks * Clear communication of data and workflows to a multidisciplinary team Key requirements * competitive base salary * bonus and long-term incentives * equity-based awards * paid time off * comprehensive benefits * retirement programs ## Description Experteer Overview In this role you will apply data science to large biological datasets to identify targets, MOA mechanisms, and biomarker strategies in early oncology R&D. You will work closely with wet-lab scientists to translate data insights into experimental plans and strategic decisions. The position offers opportunities to shape biomarker strategies and contribute to immunology aging/function research. You will operate in a collaborative, fast-paced environment at the cutting edge of cancer research. This role provides a meaningful chance to impact patient outcomes while developing your expertise in multi-omics and advanced analytics. Compensation / Benefits * Process and analyze large-scale biobank, population, and in-vitro data using established pipelines * Apply analytical methods and machine learning to identify targets and biomarkers * Collaborate with wet-lab scientists to support target identification and MOA studies * Create high-quality visualizations and reports for project teams * Provide computational insights to inform biomarker strategy development * Participate in team meetings and present data-driven insights to advance milestones * Stay current with the latest data science and bioinformatics tools Tasks * Experience with large-scale biological or population datasets (minimum 2 years) * Proficiency in Python or R * Solid foundation in statistical analysis and core machine learning techniques * Hands-on experience with NGS data analysis (RNA-seq, methylation, ChIP-seq, ATAC-seq) * Experience or strong interest in proteomics and multi-omics data integration * Strong problem-solving, attention to detail, and ability to manage multiple tasks * Clear communication of data and workflows to a multidisciplinary team Key requirements * competitive base salary * bonus and long-term incentives * equity-based awards * paid time off * comprehensive benefits * retirement programs ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [APIs and Architecture for scaling omnichannel payments](https://www.wearedevelopers.com/videos/90-apis-and-architecture-for-scaling-omnichannel-payments) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)