Principal Data Scientist
Company: Society of Exploration Geophysicists
Location: Nashville
Posted on: June 2, 2025
Job Description:
Shape the Future of Healthcare AI with AzraAre you passionate
about building AI that saves lives? Do you want to push the
boundaries of machine learning by creating systems that act, learn,
and adapt in the real world?Azra AI is looking for a Principal Data
Scientist to lead the next generation of healthcare AI-expanding
beyond NLP into imaging, time-series signals, and eventually
agentic intelligence. We've already transformed how cancer is
identified by analyzing millions of pathology and radiology
reports. Now, we're deepening our impact in oncology and expanding
into cardiology, neurology, and medical imaging.If you're
experienced in fine-tuning foundation models, deploying
production-grade AI in complex clinical environments, and excited
by the potential of agentic AI systems, this is your opportunity to
drive innovation with real-world purpose.What You'll DoLead and
Architect AI Models
- Own the end-to-end development of deep learning and machine
learning models for healthcare use cases.
- Design and fine-tune transformer-based NLP models (e.g., MEGA,
BERT, BioBERT) for NER, information extraction, classification,
summarization, and generative tasks.
- Build state-of-the-art models for medical image analysis
(X-ray, CT, MRI) using CNNs, ViTs, and 3D architectures (e.g.,
YOLO, EfficientNet, VGG, ViT).
- Incorporate semi-supervised, weakly-supervised, and transfer
learning techniques to improve performance with limited labeled
data.
- Implement advanced strategies such as RAG, GraphRAGs, and
long-context modeling for clinical reasoning.Build Towards Agentic
AI
- Collaborate with leadership to define the roadmap for agentic
AI systems-autonomous agents that make decisions, take action, and
learn continuously from real-world data.
- Innovate in prompt engineering, autonomous task orchestration,
and clinical decision frameworks.Expand into Multi-Modal Healthcare
Data
- Work with structured and unstructured data from multiple
domains:
- Pathology and radiology reports
- Cardiology: both clinical narratives and potentially ECG
signals (requiring signal processing knowledge)
- Neurology: text-based reports as well as EEG signals and
potentially fMRI scans
- Support multimodal modeling combining text, image, and signal
data.Drive Production-Grade MLOps
- Own robust CI/CD pipelines for ML/DL model training,
validation, deployment, and monitoring.
- Ensure scalability, observability, and compliance across
hospital deployments.
- Build model monitoring, quality control, and orchestration
workflows to manage complex inference pipelines.Work
Cross-Functionally
- Collaborate with engineering, product, and clinical teams to
turn models into intuitive, trustworthy features.
- Contribute to a high-performing culture driven by curiosity,
speed, rigor, and impact.What We're Looking ForRequired Experience
- 8+ years in machine learning, deep learning, or data science,
with a focus on healthcare or clinical applications.
- Strong experience with transformer-based NLP models and medical
image models.
- Hands-on experience with semi-supervised, weakly-supervised,
and transfer learning techniques.
- Proficient in Python, especially with PyTorch, Hugging Face,
spaCy, scikit-learn, and pandas.
- Production experience in GCP (Vertex AI, BigQuery, Cloud
Storage) or similar cloud platforms.
- Background in MLOps: model deployment, lifecycle management,
and monitoring in production.
- Experience working with clinical data (radiology, pathology,
EHR/EMR), including HIPAA compliance and data privacy.Bonus Points
- Experience with agentic AI systems or autonomous task
agents.
- Experience preparing CI/CD pipelines for ML/DL models.
- Familiarity with Streamlit or lightweight UIs for internal
model monitoring and visualization.
- Strong foundation in medical imaging, including 2D, 2.5D, and
3D processing techniques.
- Signal processing expertise for ECG, EEG, or other biomedical
time-series data.
- Familiarity with Docker, GitLab, and relational databases
(PostgreSQL, MySQL).Qualification:Bachelor's or Master's degree in
computer science or related field.PhD in data science is a plus.Why
Join Azra AI?You won't just be training models-you'll be advancing
the frontiers of healthcare. You'll join a mission-driven team
where your ideas matter, your models are used in real hospitals,
and your work can directly save lives.Join us. Build AI that
matters.
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Keywords: Society of Exploration Geophysicists, Smyrna , Principal Data Scientist, Other , Nashville, Tennessee
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