Senior Data Scientist - Computer Vision

Salary:

COMPANY OVERVIEW

HueDx is a fast-moving startup transforming diagnostics through AI-driven, smartphone-based technology that makes testing more accessible, accurate, and scalable. Our proprietary HueTools software and HueCard platform enable rapid development of quantitative colorimetric and fluorimetric assaysoften in six months or lessand allow partners to convert existing qualitative tests in under two months.

But beyond what we do, we care deeply about how we do it. HueDx is built on a foundation of collaboration, flexibility, and trust. We foster a supportive, inclusive environment where creativity is encouraged, autonomy is respected, and life outside of work is valued. Whether you're in the lab or remote, balancing parenthood or just looking for a place where your ideas matter, you'll find a team thats invested in your growth and well-being. At HueDx, were not just building diagnosticswere building a culture that works for people.

Learn more at huedx.com.

DESCRIPTION

HueDx is searching for an experienced data scientist with a computer vision emphasis to join our team and work on creating an industry leading suite of CV tools to accelerate experiments across multiple industries. This individual will work closely with a team of chemists and bioengineers, as well as a team of developers and mechanical engineers to bring intelligent automation to a wide variety of CV tasks.

Can be fully remote or hybrid in Philadelphia/remote.

RESPONSIBILITIES

The SDS-CV will develop image processing pipelines for inferring the characteristics of biological samples and reaction colors from digital images captured by a mobile phone. ? Develop Code: This individual will develop experimental, test, and production-worth code for image processing pipelines, tooling, and production environment architecture in AWS using Python. They will also create tools for maintaining, testing, and evaluating the effectiveness of those pipelines in production, test, and development environments. ? Own Data: The SDS-CV will develop end-end workflows for an ML based solution architecture in a full design cycle that requires data definition, preparation, augmentation, selection, robustness checks and cloud storage. ? Plan: The SDS-CV will plan ahead for future product needs and seek to understand practical, realistic product requirements for a real-world application involving complex data science. ? Scientifically Investigate: The SDS-CV will hold quality scientific rigor in the highest regard. As a company creating health and wellness products, safety is critical. In order to develop a safe, effective product, we hold ourselves to the highest standards of scientific exploration, record keeping, data presentation and preparation, and communication. ? Launch Products: The SDS-CV will be responsible for producing software that is used in a deployed product. As a result, an understanding of the product development lifecycle and mindset is essential. Triaging bugs, planning new features, and understanding compromises are topics this individual needs to have a great deal of experience managing in the midst of complex and ever-changing data-science-related product requirements. ? Digest Stakeholder Requirements: The SDS-CV will listen to and understand the requirements of the product from the perspective of the user, the chemistry, the mechanical design, and the software and translate those requirements into achievable and practical data science requirements. ? Organize: The SDS-CV will take ownership of their codebase and ensure that their software, tools, architecture, and plans are well-communicated, justified, understood, and approved by their team as a whole. As a result, this individual will need to be high-organized and take satisfaction in writing quality code and documentation.

QUALIFICATIONS

In lieu of the below qualifications, considerations will be made for equivalent or particularly relevant experience.
? BS/MS/PhD in data science, computer science, or related field with quantitative emphasis
? 4+ years of industry experience
? 4+ years experience with the following technologies:
? OpenCV or SKImage
? SKLearn
? Tensorflow / PyTorch or other DL framework
? 1+ years experience in AWS or other cloud provider
? Expert level knowledge and design ability in Python
? Deep knowledge of statistics and model quality metrics (regression, distance measures, precision/recall, etc)
? Deep familiarity with classical CV techniques (image registration, contour detection, color correction, etc) as well as modern DNN-based approaches (image classification, segmentation, object detection, etc.)
? Fluency in common data science packages and environments (Jupyter, Pandas, NumPy)
? Experience working in non-RGB color space (HSL, HSV, LAB, XYZ, etc)

NICE TO HAVE
? Expertise in computational photography concepts such as white balance, gamma curves, debayering, HDR, etc.
? Extensive background using Sagemaker and MLOps processes/procedures in your workflows
? Experience in zero-shot learning or other small-dataset techniques
? Experience in colorimetric analysis procedures and techniques
? Familiarity of Bayesian optimization approaches and tools

remote work

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