Senior AI Research Scientist - Machine Learning for Healthcare

Placements24; Willows (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health and wellness benefits

Retirement savings plan

Support for conference attendance

Job summary

Placements24 is seeking a Senior AI Research Scientist to join a leading AI healthcare research team. The role focuses on designing and deploying cutting-edge ML models for diagnostics, treatment prediction, and patient data analysis.

The position offers hybrid work with office and remote flexibility, opportunities to publish in top venues, and mentorship of junior researchers in a fast-paced, collaborative environment.

Qualifications

• Ph.D. and 5+ years in AI research with ML model development.

Responsibilities

• Lead design and implementation of advanced ML models for healthcare.
• Research novel AI techniques for medical diagnostics.
• Collaborate with clinicians and data scientists to translate needs into AI solutions.
• Analyze large healthcare datasets and validate model performance.
• Publish findings in top AI/medical venues and mentor junior researchers.
• Ensure HIPAA compliance and ethical AI practices.

Skills

Deep ML knowledge

Strong communication

Hybrid collaboration

Education

Ph.D. in CS/AI/ML/Statistics or related field

Tools

Python

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client, a leading innovator in artificial intelligence and its application in healthcare, is seeking a highly accomplished Senior AI Research Scientist to join their advanced research team in Welkom, Free State . This role is dedicated to pushing the boundaries of machine learning to solve complex healthcare challenges, from diagnostic imaging analysis to personalized treatment prediction. You will be instrumental in conceptualizing, developing, and implementing novel AI models, working with large and diverse healthcare datasets. This hybrid position allows for focused research in the office and flexible remote work, fostering both collaboration and individual productivity. The ideal candidate possesses a deep understanding of machine learning algorithms and a passion for translating research breakthroughs into tangible healthcare solutions.

Key Responsibilities

• Lead the design, development, and implementation of cutting-edge machine learning models for healthcare applications, including but not limited to image recognition, natural language processing, and predictive analytics.
• Conduct thorough research into novel AI techniques and algorithms relevant to medical diagnostics, patient stratification, and treatment optimization.
• Collaborate closely with data scientists, clinicians, and domain experts to define research objectives and translate clinical needs into AI solutions.
• Process, clean, and analyze large-scale, complex healthcare datasets (e.g., EHRs, medical images, genomic data).
• Validate and refine AI models, ensuring performance, accuracy, and robustness.
• Stay current with the latest advancements in AI, machine learning, and their applications in the healthcare sector.
• Publish research findings in top-tier AI and medical journals and present at leading conferences.
• Mentor junior researchers and contribute to building a strong research culture.
• Ensure compliance with data privacy regulations (e.g., HIPAA) and ethical AI principles.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of post-doctoral or industry experience in AI research, with a proven track record in developing and deploying ML models.
• Deep understanding of various machine learning paradigms (supervised, unsupervised, deep learning) and algorithms (e.g., CNNs, RNNs, Transformers, SVMs, Random Forests).
• Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and experience with data manipulation tools.
• Experience working with healthcare data and understanding of relevant medical terminologies and ontologies is highly desirable.
• Strong analytical and problem-solving skills, with the ability to tackle complex, ill-defined problems.
• Excellent communication and collaboration skills, comfortable working in a hybrid team environment.
• Demonstrated ability to publish research in reputable venues.

Benefits

Our client offers a competitive salary, comprehensive health and wellness benefits, and a retirement savings plan.

The hybrid work model provides a balance between collaborative in-office sessions and focused remote work.

We invest in our employees' growth through opportunities for professional development, including attending key industry conferences and access to ongoing training programs.

Join a cutting-edge research team in Welkom, Free State , and contribute to transforming healthcare through the power of artificial intelligence. Be part of a company that values innovation, collaboration, and making a significant positive impact on patient lives.