Axle · 1 week ago
Data Scientist II
Axle is a bioscience and information technology company focused on advancements in translational research and biomedical informatics. The Data Scientist II will develop scalable AI systems to empower scientists and physicians, collaborating with a multidisciplinary team to enhance scientific research through data analysis and machine learning techniques.
BiotechnologyHealth CareInformation TechnologySoftware
Responsibilities
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
Qualification
Required
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
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
Preferred
A strong preference will be given to data scientists with a background in the development of data pipelines, fundamental knowledge of large language model architectures, agents, and computer vision models
A background in biology and/or medicine is preferred
C++ and Rust is a plus
DevOps experience with Kubernetes and workflow automation is a plus
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)
Company
Axle
At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions.
H1B Sponsorship
Axle 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 (37)
2024 (40)
2023 (61)
2022 (30)
2021 (19)
2020 (38)
Funding
Current Stage
Late StageCompany data provided by crunchbase