SPECTRAFORCE
Job Title:
Data Scientist I – Computer Vision & Generative AI (Pharma R&D) Location:
Irvine, CA (Hybrid – Onsite Preferred) Job Type:
12-Month Contract (W2) Pay Range: $40/hr to
$45/hr (Based on Experience)
You could be just the right applicant for this job Read all associated information and make sure to apply.
About the Role Join our
Pharmaceutical R&D Innovation Team
to develop cutting-edge
Computer Vision (CV) and Generative AI models
that solve real-world challenges in healthcare and aesthetics. As a
Data Scientist I , you’ll fine-tune CNNs, implement diffusion models, and deploy scalable AI solutions—bridging the gap between research and clinical impact. Ideal Candidate:
A
hands-on problem-solver
with 1–3 years of CV/AI experience (academic or industry) who thrives in collaborative R&D environments.
Key Responsibilities Develop, train, and optimize
CV models (CNNs, ViTs, GANs, diffusion models)
for medical/aesthetic imaging. Implement
Generative AI techniques
(e.g., synthetic data generation, image enhancement). Translate
academic research
into production-ready code (e.g., reproduce SOTA papers). Collaborate with ML engineers to deploy models on
AWS cloud infrastructure . Analyze and preprocess
image datasets
(e.g., radiology, dermatology) with Python/PyTorch. Must-Have Qualifications Education:
BS/MS in
Data Science, Computer Vision, AI, or related field . Technical Skills: Strong
Python
(PyTorch/TensorFlow, OpenCV, scikit-learn). Experience with
image-based ML
(classification, segmentation, or generative tasks). Familiarity with
PostgreSQL
and Linux environments. Mindset: Curious, adaptable, and able to
communicate complex ideas clearly . Passion for
applying AI to healthcare/life sciences . Nice-to-Have Exposure to
AWS/GCP, MLOps (Docker, MLflow) . Publications or projects in
CV/Generative AI
(GitHub/Kaggle links welcome). Knowledge of
3D medical imaging
(CT, MRI).
Data Scientist I – Computer Vision & Generative AI (Pharma R&D) Location:
Irvine, CA (Hybrid – Onsite Preferred) Job Type:
12-Month Contract (W2) Pay Range: $40/hr to
$45/hr (Based on Experience)
You could be just the right applicant for this job Read all associated information and make sure to apply.
About the Role Join our
Pharmaceutical R&D Innovation Team
to develop cutting-edge
Computer Vision (CV) and Generative AI models
that solve real-world challenges in healthcare and aesthetics. As a
Data Scientist I , you’ll fine-tune CNNs, implement diffusion models, and deploy scalable AI solutions—bridging the gap between research and clinical impact. Ideal Candidate:
A
hands-on problem-solver
with 1–3 years of CV/AI experience (academic or industry) who thrives in collaborative R&D environments.
Key Responsibilities Develop, train, and optimize
CV models (CNNs, ViTs, GANs, diffusion models)
for medical/aesthetic imaging. Implement
Generative AI techniques
(e.g., synthetic data generation, image enhancement). Translate
academic research
into production-ready code (e.g., reproduce SOTA papers). Collaborate with ML engineers to deploy models on
AWS cloud infrastructure . Analyze and preprocess
image datasets
(e.g., radiology, dermatology) with Python/PyTorch. Must-Have Qualifications Education:
BS/MS in
Data Science, Computer Vision, AI, or related field . Technical Skills: Strong
Python
(PyTorch/TensorFlow, OpenCV, scikit-learn). Experience with
image-based ML
(classification, segmentation, or generative tasks). Familiarity with
PostgreSQL
and Linux environments. Mindset: Curious, adaptable, and able to
communicate complex ideas clearly . Passion for
applying AI to healthcare/life sciences . Nice-to-Have Exposure to
AWS/GCP, MLOps (Docker, MLflow) . Publications or projects in
CV/Generative AI
(GitHub/Kaggle links welcome). Knowledge of
3D medical imaging
(CT, MRI).