What are the responsibilities and job description for the Scientific Data Architect position at Insilico Search Partners?
Scientific Data Architect — Indianapolis, IN 📍 Indianapolis, IN | Full-Time | Hybrid
The Role We're looking for a product-minded, outcome-obsessed Scientific Data Architect to join a high-impact team at the intersection of life sciences R&D and AI. You'll work directly with scientific and technical stakeholders onsite a few days per week in the Indianapolis area, translating complex scientific data challenges into scalable, AI-ready solutions.
What You'll Do
- Design and implement extensible, reusable data models (tabular and JSON) that capture and organize scientific data at scale
- Develop Python-based parsers to programmatically interrogate proprietary instrument output files
- Integrate lab software (ELN/LIMS) via APIs and build data visualization apps using Streamlit, Plotly, and similar frameworks
- Collaborate with scientists, engineers, and product managers to develop and deploy ML, AI, and statistical models
- Rapidly prototype and demo solutions directly with end users to accelerate adoption
- Contribute to product roadmap by translating customer pain points into actionable priorities
- Travel to client sites in the Indianapolis, St. Louis, and Chicago regions as needed
What We're Looking For
- PhD with 4 years or MS with 8 years of industry experience in life sciences
- Deep domain knowledge in drug discovery, preclinical development, CMC, or product quality testing
- Proven track record designing and implementing AI/ML-driven use cases in cloud environments
- Hands-on Python development experience including data modeling, parsing, and app development
- Experience integrating ELN/LIMS systems via APIs
- Strong communication and storytelling skills — comfortable engaging scientists and executive stakeholders alike
- Self-starter mentality with a bias toward prototyping and action
Bonus Points
- Experience with Streamlit, Plotly, Holoviews, or similar data app frameworks
- Familiarity with AWS or other cloud-native environments
- Background in scientific consulting or customer-facing roles
- Experience with exploratory data analysis across complex biopharma datasets
Salary : $160,000 - $240,000