integratedbiosciencesinc

Senior Research Scientist, High Throughput Biology

Redwood City, CA · Senior

H1B sponsorship availableDetected 132 days ago

PythonRESTMachine LearningData AnalysisComputer VisionLogisticsRoboticsPharmacy PracticeResearchCommunicationCollaborationPublic Speaking

About the role

If you're someone who loves the challenge of making an assay work at scale and is energized by generating and analyzing large high-quality data sets, we want to hear from you.
Apply rigorous assay development principles (Z' factor, signal-to-background, coefficient of variation) to ensure robust, reproducible, and HTS-ready assay performance.
Identify, troubleshoot, and resolve assay performance issues; continuously improve throughput and data quality across the screening platform while looking for cost savings.

We're seeking a driven and highly skilled Senior Scientist to build and execute on our high throughput biology capabilities.
Design, develop, miniaturize, and validate biochemical and cell-based assays in 384-well and higher-density formats to support primary screening, counterscreening, and selectivity profiling.
Execute high throughput screening (HTS) campaigns against compound libraries and follow-up dose-response studies to characterize hit compounds and support hit-to-lead progression.
Develop and optimize assays to support lead optimization cycles, including potency, selectivity, mechanism of action, and relevant cellular endpoints tied to aging biology.
Operate, program, and maintain liquid handling and automation equipment including the Echo 650, Bravo, and integrated robotic workstations.
Develop and optimize automation protocols for compound dispensing, reagent addition, plate washing, and detection to maximize throughput and minimize variability.
Manage compound libraries and plate maps; coordinate with chemistry to ensure accurate compound tracking, dilution series, and QC for screening campaigns.
Write and maintain Python scripts and pipelines to process, analyze, visualize, and report large-scale screening datasets, including hit identification and dose-response curve fitting.
Maintain accurate and well-documented ELN records for all screening experiments and present to cross-functional teams and leadership.

You're a good fit if you have (required)
Proficiency in Python for data analysis and visualization, including experience building scripts or pipelines to process large, complex screening datasets.
Experience with assay technologies highly relevant to aging or age-related disease biology, including senescence assays, mitochondrial function, proteostasis, or longevity pathway readouts.

We offer a highly competitive salary, meaningful equity, and comprehensive benefits, including medical and dental coverage, company-provided lunch, 401k match, and others.

At Integrated, we are focused on advancing small molecule therapeutics for age-related diseases by leveraging our first-of-its-kind discovery platform at the intersection of phenotypic models of aging, chemistry, and AI.
We are seeking a talented Senior Scientist to drive our high throughput biology efforts and help us find the next generation of small molecule therapeutics in aging.
We are an equal-opportunity employer and strongly encourage applications from individuals of diverse backgrounds, experiences, and perspectives.

This listing is sourced directly from integratedbiosciencesinc's careers page and normalized into a canonical job model.