(ID: 2025-1038)

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)

Overview

We are seeking a highly skilled and motivated Data Scientist II to support the development of scalable state-of-the-art systems that use artificial intelligence (AI) to empower scientists and physicians. This role will focus on using AI across multiple modalities (images, text, etc.) to accelerate the pace of scientific research. The successful candidate will collaborate with a multidisciplinary team of scientists, software engineers, and biologists to drive advancements in translational sciences. The ability to think critically and work independently as a part of a team is a must. A strong preference will be given to adata 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.

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.

Qualifications

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.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

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