Qualified Health

Machine Learning Scientist

PALO ALTO, CAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Qualified Health

  • Job overview

    The Machine Learning Scientist will develop scientific foundations for a healthcare AI platform, focusing on applied research to enhance generative AI in healthcare.

  • Responsibilities and impact

    Responsibilities include designing evaluation methodologies, conducting empirical research on AI workflows, collaborating with care teams, and contributing to scientific literature.

  • Compensation and benefits

    The salary range is between $200,000 and $300,000, with equity options and benefits including health, dental, and vision insurance, as well as flexible working hours.

  • Experience and skills

    A PhD or equivalent experience in machine learning or related fields is required, along with expertise in machine learning research and excellent programming skills, preferably in Python.

  • Career development

    Opportunities for professional growth include being at the forefront of AI in healthcare and contributing to impactful projects that enhance patient care.

  • Work environment and culture

    The company promotes a vibrant and inclusive work environment that fosters creativity and innovation.

  • Company information

    Qualified Health is focused on transforming healthcare through Generative AI, providing infrastructure for safe AI governance and real-time monitoring.

  • Team overview

    The AI team will collaborate closely with healthcare professionals to ensure the AI systems meet clinical needs and are aligned with patient care.

  • Job location and travel

    The role offers flexible working hours and hybrid work options, allowing for a combination of remote and in-office work.

  • Application process

    To apply, candidates should send their resume through the application link provided.

  • Unique job features

    This position offers the chance to work on innovative AI projects in healthcare, contributing to significant advancements in patient care.

Company overview

Qualified Health is a company based in Brooklyn, NY, that operates an AI-based platform offering healthcare management solutions. The company focuses on helping individuals understand their eligibility for various healthcare programs and facilitates the application process for qualified health plans. Additionally, Qualified Health is involved in the Vitamins, Supplements & Health Stores industry, employing between 20 to 49 people. They face competition from over 422 other companies in the healthcare management sector.

How to land this job

  • Tailor your resume to highlight your expertise in machine learning and AI, focusing on your experience with generative AI, evaluation methodologies, and collaboration with healthcare professionals, as these are key aspects of the role at Qualified Health.

  • Emphasize your programming skills, particularly in Python, along with any high-quality research publications in relevant venues, as these qualifications are crucial for the Machine Learning Scientist position.

  • Apply through multiple platforms, including Qualified Health's corporate site and LinkedIn, to maximize your chances of being noticed for this exciting opportunity.

  • Reach out to professionals in the AI team at Qualified Health on LinkedIn to gain insights about the position and the company's culture. Ice breakers could include discussing recent advancements in generative AI or asking about their experiences working on healthcare-related projects.

  • Optimize your resume for ATS by incorporating specific keywords from the job description, such as 'evaluation methodologies,' 'agentic AI workflows,' and 'healthcare AI,' to ensure your application passes initial screenings.

  • Utilizing Jennie Johnson's Power Apply feature can streamline your application process by helping you tailor your resume, identify the best application channels, and connect with relevant professionals, allowing you to focus on your job search effectively.

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