Position Overview
We are seeking a highly skilled scientist/engineer with deep experience in developing advanced microscopy methods and computational image analysis pipelines. This role focuses on extracting precise, quantitative biological or material insights from complex, low signal-to-noise datasets. The ideal candidate combines expertise in imaging systems with strong analytical and algorithm development capabilities.
Key Responsibilities
- Design, optimize, and implement advanced microscopy techniques (e.g., fluorescence, confocal, live-cell, super-resolution) for high-precision data acquisition
- Develop and refine image processing pipelines to extract quantitative metrics from noisy or high-background imaging data
- Apply and/or develop algorithms for denoising, segmentation, tracking, and feature extraction
- Integrate computational approaches (e.g., machine learning, computer vision) to improve signal detection and measurement accuracy
- Collaborate cross-functionally with biology, chemistry, and engineering teams to translate imaging data into actionable insights
- Establish best practices for image acquisition, calibration, and reproducibility
- Analyze large datasets and present findings clearly to technical and non-technical stakeholders
- Maintain documentation and version control for imaging and analysis workflows
Required Qualifications
- PhD or MS in Bioengineering, Physics, Computer Science, Applied Mathematics, or related field
- 3–8+ years of experience in microscopy method development and quantitative image analysis
- Strong background in image processing techniques (e.g., filtering, deconvolution, segmentation)
- Proficiency in programming (Python, MATLAB, or similar)
- Experience with image analysis tools (e.g., ImageJ/Fiji, CellProfiler, Napari, or custom pipelines)
- Demonstrated ability to work with low signal-to-noise ratio data and extract reliable quantitative outputs
Preferred Qualifications
- Experience with machine learning/deep learning for image analysis (e.g., CNNs for segmentation or denoising)
- Familiarity with optical system design or instrumentation
- Experience with high-throughput or automated imaging systems
- Background in a relevant application area (e.g., cell biology, oncology, materials science)
- Knowledge of statistical modeling and uncertainty quantification
Key Skills
- Strong problem-solving ability in noisy, complex data environments
- Attention to detail and commitment to data quality and reproducibility
- Ability to bridge experimental and computational domains
- Effective communication and collaboration skills
What Success Looks Like
- Robust imaging workflows that consistently produce high-quality, quantitative data
- Significant improvement in signal extraction from challenging datasets
- Scalable, reproducible analysis pipelines adopted across teams
- Clear translation of imaging data into meaningful scientific or product insights
Job Type: Full-time
Pay: $80,000.00 - $110,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Education:
Work Location: In person
