Data Scientist
HOPPR
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Join HOPPR as a Data Scientist and play a pivotal role in shaping the future of multimodal AI in medicine.
- Collaborate with researchers, engineers, and clinicians to enhance data infrastructure and develop impactful solutions with vast amounts of unstructured datasets like radiology scans, patient reports, and electronic health records (EHRs).
- You’ll tackle complex challenges and drive innovations that transform patient care.
- Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets.
- Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals.
- Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments.
- Design and implement MLOps practices to streamline, scale, and automate machine learning workflows.
- Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools.
- Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes.
- Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.
Requirements
- Master’s or PhD in Computer Science, Engineering, Data Science, or a related field.
- 1+ years of professional data science experience, with a proven ability to train, evaluate, and deploy machine learning models, including large language models.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow), as well as experience with data manipulation tools like SQL, pandas, or NumPy.
- Familiarity with ML Ops practices and deploying models into production pipelines (preferred).
- Knowledge of healthcare data, such as radiology images or EHRs, is a plus.
- Strong ownership mindset, entrepreneurial spirit, and product-focused approach to solving impactful problems.
Benefits
- Competitive base salary + equity.
- Generous benefits: medical/dental/vision, 401k, PTO, and parental leave.
- Remote first with hybrid options available at our NYC and SF Bay Area offices.
- An innovative, collaborative, and supportive work environment.
- Incredible teammates who inspire growth and learning.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learninglarge language modelsfeature extractionevaluation metricsdata manipulationdeep learningMLOpsPythonSQL
Soft Skills
ownership mindsetentrepreneurial spiritproduct-focused approachcollaborationproblem-solvingadaptabilitycommunicationinnovationautonomyexcellence
Certifications
Master’s degreePhD