Senior​/Principal Scientist, Bioinformatics

Senior Scientist/Principal Scientist, Bioinformatics, within the Data Science team. The role involves developing and applying advanced computational approaches to support drug discovery and development by leveraging Acrivon’s generative phosphoproteomics AP3 platform.

Lead the analysis of large‑scale proteomics, phosphoproteomics, transcriptomics, and other high‑dimensional datasets. Collaborate across proteomics, biology, and biomarker teams to translate analytic findings into actionable biological insights that inform target discovery, mechanism‑of‑action studies, indication selection, and biomarker identification. The position is based in Watertown, MA.

• Lead computational analysis and interpretation of large‑scale proteomics and other multi‑omics datasets to support mechanism‑of‑action studies, indication prioritization, target identification and validation, and biomarker discovery.
• Design, develop, and optimize robust, scalable, and secure computational pipelines for proteomics and multi‑omics data analysis.
• Develop and maintain interactive web‑based applications and data visualisation tools that enable robust analytics within a cloud‑based environment.
• Evaluate and incorporate emerging bioinformatics, mass spectrometry proteomics, and AI/ML technologies into data science workflows and analytical pipelines.
• Apply advanced AI/ML approaches, including generative and agentic AI, to enhance biological interpretation, hypothesis generation, and data‑driven decision‑making.
• Partner closely with proteomics, biology, biomarker, and other cross‑functional teams to deliver tailored analyses and actionable biological insights.

• Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, Engineering, or a related quantitative discipline, with 5+ years of industry experience in a biotechnology or pharmaceutical setting.
• Expertise in the computational analysis, integration, and visualisation of large‑scale omics datasets, with a particular emphasis on mass spectrometry‑based proteomics.
• Proven track record of designing and implementing scalable computational workflows for large‑scale omics datasets and translating analytical findings into actionable biological insights.
• Strong programming skills in R and Python, encompassing scripting, data wrangling, statistical analysis, and visualisation.
• Experience building interactive analytical tools, visualisations, and enterprise‑level web applications using frameworks such as R Shiny, Streamlit, Flask, or Django.
• Experience with cloud computing environments and scalable data infrastructure, including workflow orchestration and data management on cloud platforms.
• Experience with data integration strategies and biological database design, including systems for managing, storing, and retrieving large‑scale omics datasets.
• Strong scientific knowledge of oncology, including cancer biology, signalling pathways, biomarkers, and therapeutic modalities.
• Experience with single‑cell and/or spatial omics data analysis is preferred.
• Experience applying AI/ML approaches, such as generative AI, agentic workflows, knowledge graphs, large language models, or foundation models, to biological data interpretation or hypothesis generation is preferred.

Acrivon Therapeutics is proud to be an equal‑opportunity employer and to provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, sex or gender identity, national origin, age, disability, sexual orientation or genetics. In addition to federal law requirements, Acrivon Therapeutics complies with applicable state and local laws governing nondiscrimination in employment.