Senior AI Research Scientist

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Research Scientist in United States.

The Senior AI Research Scientist will lead research and development efforts to design, implement, and optimize AI solutions for medical imaging, with a focus on advancing healthcare outcomes. This role involves developing deep learning models, analyzing complex datasets, and translating research into clinically viable tools. The scientist will collaborate closely with software engineers, clinicians, and product teams to ensure AI models are robust, accurate, and aligned with regulatory standards. The position provides the opportunity to contribute to cutting-edge innovations in medical technology while mentoring junior researchers and influencing strategic AI initiatives. The ideal candidate thrives in a fast-paced environment, demonstrates creativity in algorithm development, and is committed to improving patient outcomes through advanced AI applications.

Accountabilities:

·         Design, develop, and optimize deep learning models for medical imaging applications.

·         Conduct research on novel AI methodologies and techniques relevant to healthcare solutions.

·         Collaborate with product and clinical teams to integrate AI models into production environments.

·         Perform data preprocessing, annotation, and enhancement to improve model accuracy.

·         Lead testing and validation of AI models to ensure compliance with regulatory standards.

·         Prepare technical documentation, white papers, and research publications.

·         Mentor junior researchers and provide guidance to accelerate R&D initiatives.

Requirements

·         Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.

·         5+ years of R&D experience in medical imaging, computer vision, or machine learning.

·         Expertise in deep learning frameworks such as TensorFlow, Keras, or PyTorch.

·         Advanced programming skills in Python and C++.

·         Experience handling large-scale datasets, preferably medical imaging datasets (DICOM, mammography, CT, MRI).

·         Knowledge of AI model validation, regulatory requirements, and clinical workflows.

·         Strong publication record in top-tier conferences or journals.

·         Excellent analytical, organizational, and communication skills; able to present complex research clearly.

·         Proactive team player with ability to work independently and contribute to cross-functional teams.

·         Preferred: experience with explainable AI (XAI), cloud deployment (AWS, GCP), and patentable AI innovation.

Benefits

·         Competitive base salary range of $165,000 – $200,000 annually.

·         Remote work flexibility.

·         Comprehensive healthcare benefits including medical, dental, and vision.

·         Retirement plan options.

·         Opportunity to contribute to high-impact AI innovations in healthcare.

·         Collaborative and research-focused work environment with mentorship opportunities.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

#LI-CL1