Stellaromics Inc. · 1 week ago
Staff Scientist, Algorithm Development
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$150K/yr - $200K/yr
5+ years expStellaromics Inc. is an innovative biotech startup founded in 2022, located in Boston, MA, focused on advancing biomedical research through proprietary technology. The Staff Scientist, Algorithm Development will design, develop, and optimize computational methods for enhancing 3D spatial transcriptomics analysis, leveraging advanced statistical modeling and AI-driven frameworks.
3D TechnologyBiotechnology
Responsibilities
Lead the design, development, and validation of computational methods such as 3D image registration, spot detection, segmentation, decoding, and signal denoising to improve the accuracy and efficiency of spatial transcriptomics analysis
Develop advanced image and signal processing algorithms for object detection, feature extraction, spectral analysis, and noise reduction in complex multi-dimensional biological imaging datasets
Develop and optimize robust decoding algorithms to accurately assign transcripts from multiplexed, multi-round imaging data
Design statistical models for error estimation, dropout detection, and confidence scoring to ensure decoding reliability
Explore methods such as sparse coding, matrix factorization, probabilistic inference, and embedding-based machine learning to handle noise, optical crowding, and systematic artifacts
Explore and apply cutting-edge computational approaches, including deep learning (CNNs, VAEs, transformers) and generative AI models (e.g., denoising diffusion models) to improve both decoding and image analysis performance
Prototype novel algorithms for segmentation, denoising, decoding, and multi-round signal integration in large-scale 3D datasets
Optimize image processing and decoding algorithms for parallel processing, GPU acceleration, and FPGA implementations to enable real-time analysis of large datasets
Support integration of algorithms into scalable, high-performance pipelines for both research and product deployment
Collaborate across scientific, computational, and product teams to align technical solutions with product requirements and research goals
Communicate complex concepts in decoding, image analysis, and signal processing to diverse audiences, including customers
Provide domain expertise in spatial transcriptomics, single-cell analysis, image/signal processing, and statistical modeling to guide technical and strategic decisions
Qualification
Required
Ph.D. in Electrical Engineering, Computational Biology, Bioinformatics, Computer Science, or related field with a strong emphasis on image and/or signal processing
5+ years of relevant experience (industry or postdoctoral research) in image processing, digital signal processing, computer vision, statistical modeling, or machine learning
Demonstrated expertise in segmentation, registration, feature extraction, and signal processing techniques
Strong background in computer vision, statistical modeling, probabilistic methods, and unsupervised clustering, especially applied to imaging and signal data
Excellent command of Python and/or C++ for scientific computing with experience in relevant libraries (OpenCV, scikit-image, NumPy, etc.)
Experience with deep learning frameworks (PyTorch, TensorFlow), high-performance computing, and large-scale data pipelines
Proficiency in GPU computing; experience optimizing algorithms for GPU/parallel architectures is a strong plus
Experience in product development or translational projects in computational biology, medical imaging, or biotech is highly valued
Strong communication and documentation skills, with ability to manage and present complex data effectively
Submission of a GitHub profile or portfolio of relevant projects is encouraged
Preferred
Optimize image processing and decoding algorithms for parallel processing, GPU acceleration, and FPGA implementations to enable real-time analysis of large datasets
Support integration of algorithms into scalable, high-performance pipelines for both research and product deployment
Benefits
Innovative Technology: Be part of a company at the cutting edge of spatial biology and genomics, revolutionizing the way researchers understand biology.
Impactful Role: You will have a significant impact on the department and the future of the company.
Collaborative Environment: Work with a talented, passionate team in a culture that values creativity, innovation, and teamwork.
Career Growth: As a high-growth company, we offer significant opportunities for professional development and career advancement.
Company
Stellaromics Inc.
Founded in 2022 and headquartered in Boston, Stellaromics is revolutionizing biomedical research with its proprietary technology, unraveling complex 3D transcription and translation patterns within native biological tissue.
11-50 employees
H1B Sponsorship
Stellaromics Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$105MKey Investors
Catalyst4Plaisance Capital Management
2025-02-11Series B· $80M
2023-11-02Series A· $25M
Leadership Team
Ye Fu
Chief Technology Officer and Co-Founder
Recent News
Company data provided by crunchbase