Insilico Search Partners
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
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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
#J-18808-Ljbffr