Overview Scientific Data Architect - Life Sciences Data & AI About the Role: We're seeking a Scientific Data Architect to design and deliver next-generation data solutions that accelerate discovery across the life sciences. You'll work hands-on with scientists and engineers to transform complex experimental workflows into scalable, cloud-based data models, pipelines, and visualization tools. If you love bridging science, data, and engineering -and thrive in collaborative, high-impact environments-this role is for you. What You'll Do Partner with R&D teams to map and model scientific data workflows Build scalable data pipelines and integrations using Python , APIs, and cloud tools (AWS preferred) Develop visualization and app frameworks (e.g. Streamlit, Plotly, Holoviews ) Design extensible, reusable data models (tabular & JSON) for scientific data Collaborate with business analysts, data scientists, and AI/ML engineers to deliver production-ready solutions Rapidly prototype and iterate through demos and stakeholder feedback What You Bring Ph.D. (7+ yrs) or M.S. (10+ yrs) in life sciences, bioinformatics, or computational disciplines Proven experience designing data architectures and pipelines for scientific or R&D environments Strong Python development skills; experience with APIs and data integration Familiarity with ELN/LIMS , scientific file formats, and lab informatics systems Excellent communicator who can engage both technical and scientific stakeholders Seniority level Mid-Senior level Employment type Full-time Job function Research Industries Software Development and Biotechnology Research
04/02/2026
Full time
Overview Scientific Data Architect - Life Sciences Data & AI About the Role: We're seeking a Scientific Data Architect to design and deliver next-generation data solutions that accelerate discovery across the life sciences. You'll work hands-on with scientists and engineers to transform complex experimental workflows into scalable, cloud-based data models, pipelines, and visualization tools. If you love bridging science, data, and engineering -and thrive in collaborative, high-impact environments-this role is for you. What You'll Do Partner with R&D teams to map and model scientific data workflows Build scalable data pipelines and integrations using Python , APIs, and cloud tools (AWS preferred) Develop visualization and app frameworks (e.g. Streamlit, Plotly, Holoviews ) Design extensible, reusable data models (tabular & JSON) for scientific data Collaborate with business analysts, data scientists, and AI/ML engineers to deliver production-ready solutions Rapidly prototype and iterate through demos and stakeholder feedback What You Bring Ph.D. (7+ yrs) or M.S. (10+ yrs) in life sciences, bioinformatics, or computational disciplines Proven experience designing data architectures and pipelines for scientific or R&D environments Strong Python development skills; experience with APIs and data integration Familiarity with ELN/LIMS , scientific file formats, and lab informatics systems Excellent communicator who can engage both technical and scientific stakeholders Seniority level Mid-Senior level Employment type Full-time Job function Research Industries Software Development and Biotechnology Research
A leading life sciences consultancy is seeking a Scientific Data Architect in Boston to design cloud-based data solutions. The role involves collaboration with scientists to create scalable data models and pipelines. Candidates should have a Ph.D. or M.S. and strong Python skills, with experience in scientific or R&D data architectures. Full-time employment with a focus on research in software development and biotechnology.
04/02/2026
Full time
A leading life sciences consultancy is seeking a Scientific Data Architect in Boston to design cloud-based data solutions. The role involves collaboration with scientists to create scalable data models and pipelines. Candidates should have a Ph.D. or M.S. and strong Python skills, with experience in scientific or R&D data architectures. Full-time employment with a focus on research in software development and biotechnology.