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Are you passionate about using machine learning to improve healthcare? We're looking for talented and motivated individuals to join our team and help us achieve our mission of dramatically improving healthcare through data-driven decision-making. If you are interested in joining a dynamic and fast-growing startup, please read on to learn more about these exciting opportunities.
To apply for a role at Health Universe, please submit your resume and cover letter to hello@healthuniverse.com. In your cover letter, please tell us why you are interested in working at our startup and how your skills and experience make you a good fit for the position. We will review all applications and contact qualified candidates to schedule an interview.
Thank you for considering a career with us!
Senior MLOps Engineer
The MLOps position at Health Universe involves managing the deployment and operation of machine learning models to support our data-driven decision-making processes. The role requires a strong background in both machine learning and software engineering, as well as experience in the healthcare industry.
Responsibilities:
- Develop and maintain a robust infrastructure for training, testing, and deploying machine learning models.
- Work closely with the data science team to understand their machine learning needs and support their model development efforts.
- Monitor the performance of deployed models and troubleshoot issues as they arise.
- Collaborate with other engineering teams to integrate machine learning models into existing healthcare systems and processes.
- Stay up to date with the latest MLOps best practices and technologies, and incorporate them into the company's MLOps strategy.
Qualifications
- Bachelor's or Master's degree in computer science, engineering, or a related field.
- 5+ years of experience in machine learning and software engineering.
- Experience with cloud-based MLOps platforms, such as AWS SageMaker or Google Cloud AI Platform.
- Familiarity with healthcare data and regulations, such as HIPAA and PHI.
- Strong communication skills and ability to work effectively in a team environment.
The Community Outreach manager at Health Universe will be responsible for building and maintaining relationships with key stakeholders in the healthcare industry, including patients, providers, and other organizations. This individual will serve as the face of the company and play a critical role in promoting our machine learning solutions and driving adoption.
Responsibilities:
- Develop and execute a comprehensive community outreach strategy to engage and educate key stakeholders about our machine learning solutions.
- Identify and build relationships with potential partners and collaborators in the healthcare industry, including hospitals, clinics, and advocacy groups.
- Serve as a point of contact for researchers, providers, and other stakeholders, and provide them with information and support as needed.
- Work closely with the marketing and sales teams to create and deliver engaging content and presentations that showcase our machine learning solutions.
- Attend and speak at conferences, workshops, and other industry events to promote our company and its solutions.
Qualifications
- Bachelor's degree in marketing, communications, or a related field.
- 5+ years of experience in community outreach or public relations, preferably in the healthcare industry.
- Strong communication and interpersonal skills, with the ability to build and maintain relationships with a diverse range of stakeholders.
- Experience developing and executing outreach campaigns and programs.
- Familiarity with healthcare data and regulations, such as HIPAA and PHI.
- Ability to work effectively in a fast-paced, startup environment.
Senior Django Engineer
The Senior Python Engineer at Health Universe will be responsible for converting machine learning projects written in Python into Streamlit-compatible projects and deploying them on the platform. This individual will work closely with the data science and MLOps teams to ensure that our machine learning solutions are implemented and deployed effectively.
Responsibilities:
- Convert existing Python machine learning projects into Streamlit-compatible projects, using the appropriate libraries and frameworks.
- Work closely with the data science team to understand their machine learning needs and support their model development efforts.
- Develop and maintain a robust infrastructure for deploying machine learning models on the Streamlit platform.
- Monitor the performance of deployed models and troubleshoot issues as they arise.
- Collaborate with other engineering teams to integrate machine learning models into existing healthcare systems and processes.
- Stay up to date with the latest Python libraries and frameworks for machine learning, and incorporate them into the company's MLOps strategy.
Qualifications
- Bachelor's or Master's degree in computer science, engineering, or a related field.
- 5+ years of experience in Python development, with a strong background in machine learning and software engineering.
- Proficiency with popular Python libraries and frameworks for machine learning, such as TensorFlow and scikit-learn.
- Experience with the Streamlit platform and deploying machine learning models on it.
- Familiarity with healthcare data and regulations, such as HIPAA and PHI.
- Strong communication skills and ability to work effectively in a team environment.
AI Licensing Coordinator
The business development position at Health Universe involves identifying and securing licensing agreements for machine learning models developed at research institutions. This individual will work closely with the data science and MLOps teams to understand the capabilities of our machine learning solutions, and will be responsible for negotiating and executing licensing agreements with research institutions.
Responsibilities:
- Identify potential licensing opportunities with research institutions and their technology transfer departments.
- Understand the capabilities and potential applications of our machine learning solutions, and communicate them effectively to potential partners.
- Negotiate and execute licensing agreements with research institutions, ensuring that the terms are fair and mutually beneficial.
- Work closely with the data science and MLOps teams to support the integration and deployment of licensed machine learning models.
- Stay up to date with the latest trends and developments in the healthcare and machine learning industries, and identify new opportunities for growth and expansion.
Qualifications
- Bachelor's or Master's degree in business, engineering, or a related field.
- 5+ years of experience in business development, preferably in the healthcare or technology industries.
- Strong negotiation and communication skills, with the ability to build and maintain relationships with potential partners and stakeholders.
- Familiarity with the technology transfer process and licensing agreements.
- Knowledge of machine learning and its applications in the healthcare industry.
- Ability to work effectively in a fast-paced, startup environment.