7 application scientist jobs at 7 companies in Bear, DE
2mo
Save
Mark Applied
Hide
2mo
Sales and Application Scientist – Protein Engineering (Non-Bench)
Philadelphia, Pennsylvania, United States
OnsiteFull Time
Integral Molecular: Discovers therapeutic antibodies and provides membrane protein solutions.
PhD in biological sciences or related STEM, prior life sciences commercial experience (BD, sales, or application scientist), proven ability to prospect and close, scientific communication skills, and ability to manage customer projects.
New York City or Philadelphia or New Jersey or Connecticut
$85k-$95k/yrRemoteFull Time
DanaherNYSE: DHR: Develops scientific instruments and diagnostic tools for healthcare markets.
2+ YOEBA/BS in life sciences or optics (Masters/PhD preferred), minimum 2 years research experience using microscopy, customer-facing support and training experience, high computer proficiency, valid driver's license, able to travel up to 40%.
Integrated Solutions for Systems: Provides engineering, systems integration, and research for defense.
Bachelor's in computer science/engineering, US citizenship, programming in Go/C++, EMR not applicable; ability to travel, lift equipment, decompose engineering docs, and apply cyber best practices.
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
4+ YOE4+ years in data science/ML/data engineering, 1+ year Palantir Foundry experience, Python, Foundry data ingestion and application development, Git and CI/CD experience, Agile/DevSecOps, Secret clearance, Bachelor's degree.
MOBILion Systems: Develops high-resolution mass spectrometry instruments for life sciences.
5+ YOEAdvanced proteomics and mass spectrometry expertise, LC‑MS/MS method development, data analysis, experiment design, strong communication; degree plus relevant years of experience required (BSc+8/ MSc+5/ PhD+2).
SEINASDAQ: SEIC: Provides technology and investment solutions for financial services institutions.
3+ YOE3+ years Python development; experience building and deploying LLM-powered applications; knowledge of RAG, vector databases, embeddings, semantic search, agentic frameworks, prompt engineering, AI governance; bachelor's in CS or equivalent preferred.