Associate Data Scientist
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At a glance
Job overview
Virufy is hiring an Associate Data Scientist. The Associate Data Scientist will join a part‑time volunteer team at Virufy, applying machine learning, deep learning, and signal analysis to audio data in a medical setting, collaborating with AI engineers, mentors, product management, and leadership to develop and deploy models.
Key focus areas include Research and identify state‑of‑the‑art ML approaches for detecting COVID from coughs, Train, build, and deploy AI models into production, and Produce clean code and APIs to facilitate understanding within the team.
Important skills include Machine Learning, Deep Learning, Audio Analysis, Pandas (Python Package), Scikit-learn (Machine Learning Library), and Data Ingestion.
Skills & qualifications
Skills
Qualifications
Full job description
Associate Data Scientist Our team of part-time volunteers works with machine learning, deep learning, and signal analysis for audio analysis in a medical setting. We welcome individuals with professional experience in these domains to apply. The candidate will be immersed in a collaborative environment alongside AI engineers and mentors.
Responsibilities
- Deeply research and identify state-of-the-art ML approaches for detecting COVID from coughs.
- Train, build, and deploy AI models into production.
- Produce clean code and APIs to facilitate understanding within the team.
- Collaborate with product management and leadership to deliver on expectations.
- Build data ingest and data transformation infrastructure.
- Process and feature extract from a wide array of input data types.
- Identify transfer learning opportunities and auxiliary training datasets.
- Distill results into academic formats, e.g. research paper. Minimum Qualifications
- 1-2 years of experience of CS/ML coursework and prior internship experience.
- Passionate and committed to the Virufy mission, communicate effectively, and share learnings with the team.
- Strong Python programming experience with toolkits such as Pandas, NumPy, Librosa.
- Experience in training models with frameworks like Scikit-learn, Tensorflow, Pytorch, Keras.
- Hands-on AI programming experience working on (ideally) enterprise products.
- Experience using AI for healthcare in clinical research studies and solving real-world problems. Hours
- 5-15 hours per week. Questions?
- Reach out to [email protected] and we will get back to you promptly. Apply to this Role
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