(ID: 2025-1339)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Benefits We Offer:

100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)

Axle is seeking a Senior Scientist highly experienced in High Content Screening (HCS) to support research programs within the Department of Preclinical Innovation (DPI) at the National Center for Advancing Translational Sciences (NCATS). The scientist will provide advanced expertise in quantitative image-based cell assays, high-content screening technologies, and data analysis to enable translational research efforts across NCATS. The role involves close collaboration with NCATS investigators, technical leadership in HCS assay development, and stewardship of complex screening and computational infrastructure.

Key Responsibilities

High Content Screening and Assay Development

Design, optimize, and execute quantitative cell-based and image-based assays for high-content screening applications, specifically with small molecules or siRNAs
Support assays using a range of biological model systems, including 2D cultures, 3D spheroids, and organoid models, with demonstrated experience supporting stem cell-derived and disease-relevant models.
Select and configure appropriate automated microscopy systems, plate readers, and acquisition parameters to ensure optimal data quality, specifically Revvity Opera Phenix, Molecular Devices ImageXpress, and additional imaging systems in use at NCATS, including non-HCS microscopy platforms that support complementary assay development and translational research.
Provide scientific and technical guidance on assay design, feasibility, and interpretation of screening results.
Support primary, secondary, and mechanistic follow-up screens, including dose–response studies.

Image Analysis and Data Science

Develop, implement, and maintain image analysis workflows using both commercial HCS platforms, such as Revvity Signals Image Artist and Revvity Columbus and open-source software.
Create custom analytical solutions when commercial tools are insufficient, including:
Classical image processing and statistical methods
Machine learning-based approaches for segmentation, feature extraction, and phenotypic classification
Analyze large, high-dimensional datasets and present results to NCATS investigators and project teams.
Apply supervised and unsupervised learning methods to support mechanism-of-action studies and phenotypic profiling.

HCS Infrastructure and Computational Support

Support and help maintain state-of-the-art HCS infrastructure, including automated microscopes, robotic liquid handling systems, and associated software.
Collaborate with NCATS IT and informatics teams to ensure appropriate data storage, networking, security, and high-performance computing solutions for large image datasets.
Assist with evaluation, integration, and validation of new instrumentation, software, and analytical platforms.

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