Role Overview

Develop, implement, and optimize LLMs and computer vision algorithms for processing and analyzing biomedical text and image data.
Design and develop software tools and pipelines for automated image analysis, data integration, and visualization, leveraging machine learning and deep learning techniques.
Collaborate with biologists and other researchers to understand their needs and translate them into technical solutions, incorporating state-of-the-art AI methodologies.
Perform data mining, statistical analysis, and machine learning on large-scale biomedical imaging datasets to extract meaningful insights and improve predictive accuracy.
Validate and benchmark AI-driven imaging algorithms and tools to ensure their accuracy, robustness, and scalability.
Document software development processes, create user manuals, and provide training and support to end-users, particularly focusing on AI applications.
Stay up-to-date with the latest advancements in AI, computer vision, biomedical imaging, computational biology, and data science, and apply this knowledge to improve existing tools and methodologies.
Participate in interdisciplinary team meetings, present findings, and contribute to scientific publications and grant proposals, emphasizing AI and computer vision innovations.
Identify and implement new AI technologies and frameworks to enhance the capabilities of biomedical imaging tools and methodologies.
Knowledge of code packaging, containerization technologies, and continuous integration pipelines.
DevOps experience with Kubernetes and workflow automation is a plus.

Requirements

Ph.D. or Master’s degree in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, or a related field
Proven experience in biomedical imaging analysis, AI, and computer vision, preferably in HTS and HCS contexts.
Strong programming skills in languages such as Python. C++ and Rust is a plus.
Well versed with AI and machine learning frameworks and libraries such as TensorFlow, PyTorch, PydanticAI, and LLM observability.
Experience with image analysis software and libraries such as ImageJ, CellProfiler, OpenCV, or similar.
Knowledge of statistical analysis and data visualization techniques.
Familiarity with high-performance computing and cloud-based data processing environments.
Excellent problem-solving skills and the ability to work both independently and as part of a team.
Strong communication skills and the ability to convey complex technical concepts to non-technical audiences.
Experience in developing AI-driven software tools for biomedical research.
Experience with version control systems such as Git.
Experience with workflow automation tools.
Previous experience working in a collaborative, interdisciplinary research environment.

Tech Stack

Cloud
Kubernetes
Python
PyTorch
Rust
Tensorflow

Benefits

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 Informatics

Open Positions (1)

Data

Data Scientist II