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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Scientist, Antibody Discovery & Data Science - **Company:** AstraZeneca plc - **Location:** Gaithersburg, MD, United States - **Experience:** Expert - **Salary:** $116,284.0 - $174,426.0 - **Contract:** Permanent contract - **Skills:** Bioinformatics, Computational Biology, Computer Programming, Data Presentation, Python (Programming Language), Machine Learning, Scientific Computating, Visual Analytics, Machine Learning Operations, Data Pipelines - **Published:** May 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f3658b6f6ff7d02c ## About the Role Do you have experience in Research findings presentation?, Do you have a Bachelor's degree?, Ph.D. in Biology, Biotechnology, Computational Biology, Bioinformatics, Data Science, Biomedical Engineering or related field with 0+ years' experience; M.S. with 5+ years' experience; B.S. with 10+ years' experience, * Background in antibody discovery, protein engineering, biologics engineering, or developability * Experience applying data science, statistical modeling, or machine learning to biological or biomedical problems * Strong programming skills in Python, statistics and experience with scientific computing and ML tools. * Experience working with complex, multi-source datasets including NGS, and building reproducible analysis workflows * Ability to work directly with experimental scientists to solve real R&D challenges * Demonstrated experience with biological, biomedical, or experimental R&D data. * Strong communication skills and ability to work in a multidisciplinary environment. * Excellent communication and data presentation skills. Desirable Skills * Critical thinking to formulate hypotheses and design analyses to test them * Proactive drive to identify key questions and help teams find the answers * Curiosity to dive into data generated across diverse discovery teams * Ability to influence experimental strategy, not only analyze results * Willingness to mentor others and shape team standards ## Description Are you ready to turn complex, multimodal discovery data into decisions that speed novel antibodies to patients? In this role, you will combine deep scientific understanding with advanced analytics to shape how we discover and optimize biologics-advancing the right candidates faster with smarter experiments and clearer insight. You will join a multidisciplinary discovery platform in Gaithersburg, partnering closely with discovery scientists, automation engineers and computational biologists. Together, you will transform in vivo and in vitro screening outputs, NGS, structural and developability data into integrated, analysis-ready insights that guide engineering and screening strategies., * Discovery Campaign Leadership: Run campaigns across in vivo and in vitro/display platforms to generate broad, sequence-diverse hit sets and drive progression of high-quality leads. * Data Pipelines and Integration: Build robust, reproducible pipelines for data automation; integrate sequence, assay, structural, developability, predictive and NGS data into coherent, analysis-ready datasets that accelerate decisions. * Modeling for Impact: Develop statistical analyses that guide antibody engineering, screening, and candidate prioritization with measurable gains in speed and quality. * Experiment Design Partnership: Define data needs with experimental teams, improve experimental design, and translate results into clear next steps that reduce cycle times and de-risk choices. * Tools, Dashboards and Visualization: Create intuitive tools and visual analytics that turn complexity into clear hypotheses and empower bench scientists to leverage outputs independently. * Active Learning Loops: Design iterative cycles that link computational predictions to high-throughput experimental validation, continuously improving model performance and candidate quality. * Communication and Standards: Present findings, codify best practices, and influence platform strategy to scale successful approaches across programs. ## Related Videos - [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) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Building Agentic Applications: A Deep Dive into Zooka, an AI Cardiologist Assistant](https://www.wearedevelopers.com/videos/2030-building-agentic-applications-a-deep-dive-into-zooka-an-ai-cardiologist-assistant) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) ## Related Articles - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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 Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)