| Company: | TEMPUS |
|---|---|
| Job Role: | Machine Learning Engineer, Cell Imaging. |
| Experience: | Freshers (0-2 years). |
| Vacancy: | 20+ |
| Qualification: | BS in computer science, biomedical engineering, or any quantitative field. |
| Salary: | $113,459 USD/year. |
| Location: | Chicago - Illinois - USA. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
A technology company, Tempus, has built the largest library of clinical and molecular data in the world, as well as an operating system to make that information available to patients, physicians, and researchers alike. Tempus makes precision medicine a reality by applying artificial intelligence in healthcare, leveraging our extensive collection of clinical and molecular data. Through the power of artificial intelligence in healthcare, we enable physicians to make real-time, data-driven decisions to deliver personalized care and targeted therapies to their patients. Through our distinctive solution sets, we also work with partners to help find, develop, and deliver optimal therapeutic options for patients. Our mission is to provide the healthcare industry with tools that learn as we gather more data, so each patient can benefit from the treatment of those who came before. I think it's about time.
Passionate about building great software products that empower scientists and researchers?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are seeking a machine learning engineer to join our team. The ideal candidate has experience working with large imaging datasets, is familiar with modern computer vision techniques and models, is familiar with the biomedical domain, and is eager to apply their skills to improve patient outcomes.
What you’ll do:
- Build robust, industrial-scale machine learning models and data pipelines for structured and unstructured data
- Integration of large-scale machine learning models end-to-end
- Build the most advanced data solutions in precision medicine by working with product, science, engineering, and business development teams
- Develop next-generation computer vision models to advance the state-of-the-art in high-throughput microscopy.
Required Qualifications:
- BS or MS in computer science, biomedical engineering, or any quantitative field with a strong machine learning background.
- An understanding of machine learning algorithms and best practices with an emphasis on computer vision models.
- Python is preferred. Strong coding skills. Version control (GIT) and collaborative software development and testing experience
- Experience working with Docker containers and cloud-based compute environments (e.g., AWS or GCP)
- Knowledge of best practices for code development, documentation, testing and deployment patterns.
- Strong team player and effective cross-team collaborator
Nice-to-haves:
- Analyzing optical microscopy images
- Building and deploying containerized applications and services
- Familiarity with deep learning frameworks: PyTorch, TensorFlow, Keras.
- Experience in the healthcare sector
- Working knowledge of Big Data technologies such as AWS, Hadoop, Spark, etc.
How to Apply Click on the Below link, it will redirect you to source Page and apply there.
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