Data Scientist II
Axle Informatics
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $115,000 - $130,000 per year
Job Level
Mid-LevelSenior
Tech Stack
CloudKubernetesPythonPyTorchRustTensorflow
About the role
- 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
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)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLMscomputer vision algorithmsmachine learningdeep learningdata miningstatistical analysisimage analysisprogramming in PythonAI-driven software developmentdata visualization techniques
Soft skills
problem-solvingcommunicationcollaborationindependent worktechnical translation
Certifications
Ph.D. in Data ScienceMaster’s degree in Computer ScienceMaster’s degree in Biomedical EngineeringMaster’s degree in Bioinformatics