Healthcare Machine Learning Engineer

Impact Advisors - Chicago, IL

Full-time

Chicago, IL

Professional, Scientific, and Technical Services

About the position

The machine learning engineer will design self-running software to automate predictive models. You will serve as the expert regarding the application of advanced analytical methods to improve health care delivery, cost, quality, and outcomes. Utilizing data science and software engineering techniques, you will create and deploy unique and innovative advanced analytics solutions that deliver actionable information to stakeholders with a high degree of impact. In this role, you will be responsible for developing enterprise-class, advanced analytic models to understand and solve complex business problems. This involves creating models by analyzing large data sets from various sources and processes. You will establish scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation. Additionally, you will gather data sets, build synthetic data, and label data sets as per the needs of Data Science solutions and Machine Learning. You will apply software engineering and machine learning skills to build Data Science and Machine Learning products that provide automation and improve business and user experience. This includes utilizing machine learning techniques to design and build Data Science solutions and Machine Learning products, from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated services. You will also interface with relevant stakeholders to assist in lifecycle activities such as requirements gathering, research activities, and solution architecture and design. The position requires experience working in an Agile environment and the ability to organize methods, plans, and data constructs for effective clinical and business analyses. Superior communication skills are essential, as you will need to tailor written and spoken language to a broad variety of potential stakeholders. You will utilize team collaboration to create innovative solutions efficiently and inspire a followership to mobilize change agents that act as multipliers and foster the mindset. Additionally, you will need to quickly identify coaching needs and address them through inclusive training sessions.

Responsibilities

• Design self-running software to automate predictive models.
• Serve as the expert regarding the application of advanced analytical methods to improve health care delivery, cost, quality, and outcomes.
• Create and deploy unique and innovative advanced analytics solutions that deliver actionable information to stakeholders.
• Develop enterprise-class, advanced analytic models to understand and solve complex business problems.
• Establish scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.
• Gather data sets, build synthetic data, and label data sets for Data Science solutions and Machine Learning.
• Apply software engineering and machine learning skills to build Data Science and Machine Learning products.
• Utilize machine learning techniques to design and build Data Science solutions and Machine Learning products.
• Interface with relevant stakeholders to assist in lifecycle activities such as requirements gathering and solution architecture.
• Organize methods, plans, and data constructs for effective clinical and business analyses.

Requirements

• Development experience with R, Python, Java or other analytics/data mining tools, databases, and computer programming.
• Theoretical fluency and working proficiency in a broad array of statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.
• Experience in building and deploying predictive models and other analytic assets.
• Experience in SQL/Database programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and groupings.
• Extensive data modeling and data architecture skills.
• Background in machine learning frameworks such as TensorFlow or Keras.
• Knowledge of Cloud Computing or other distributed computing systems.
• Advanced degree in computer science, math, statistics, or a related discipline.

Nice-to-haves

• Experience working in an Agile environment.
• Ability to inspire a followership and mobilize change agents that act as multipliers.
• Ability to quickly identify coaching needs and address them through inclusive training sessions.

Benefits

• Best in KLAS advisory, implementation and optimization services to healthcare organizations.
• Commitment to exceeding clients' expectations.
• Recognition as a nationally recognized partner to many of the nation's top healthcare organizations.