Location
Louisville, CO | United States
Job description
** Local Denver, CO, candidates only! Need to be onsite in Louisville, CO 1 day/week and we cannot work with 3rd parties or provide visa sponsorship at this time **
The Sr. Frontend Developer is a highly skilled UI & UX engineer who will be reporting to the Director of Data Science. The Sr. Frontend Developer is responsible for creating the look and feel of our AI, ML, and Data Science solutions using advanced UI, UX, and Visualization capabilities. The Sr. Frontend Developer will leverage Generative AI solutions combined with internal and external data, to produce Co-Pilot applications to solve Healthcare Supply Chain problems.
The Sr. Frontend Developer will need to be adept at producing intelligence that serves multiple stakeholders simultaneously, including the traditional customer base of hospitals, manufacturers, and distributors, as well as patients, physicians, payors, government, and the investment community. In addition, the role will support internal departments in making data-driven decisions.
The Sr. Frontend Developer will have a high level of expertise in UI/UX design and visualization and experience in full stack development and AI, Machine Learning, and Data Science. They should have relevant experience in applying such tools to produce practical, scalable solutions. This person will work collaboratively within a team of data scientists and with end users, product management, development, and other stakeholder groups.
This person will need to work from our Louisville, CO office one day per week.
Key Responsibilities • Create UI components to support continuous improvement through HITL and RLHF solutions that fit naturally in existing workflows.
• Work closely with end users and other stakeholders to create solutions that are rapidly adopted.
• Envision and create UX components and workflows to optimize processes.
• Adept with a wide range of visualization methods to facilitate targeted analysis.
• Integration of existing internal API capabilities as well as existing and future AI and GenAI capabilities.
• Design, recommend, and implement novel solutions for complex business problems and apply appropriate architectures.
• Assess the fit-for-purpose of the overall solution including the backend AI/ML/DS.
• Design solutions that integrate with existing workflows that may include human-machine partnerships.
• Coordinate and mentor junior developers.
• Provide quality feedback and insightful guidance to cross-functional teams to design optimal solutions.
Key Duties: • Adhere to sound software engineering practices.
• Independently and collaboratively develop solutions and strategies to solve key business problems with minimal to no guidance.
• Develop diagnostic tools related to understanding and optimizing the healthcare supply chain.
• Take problem from idea to production-ready monitored application.
• Develop robust reusable software infrastructure.
• Develop processes and tools to build, monitor, and analyze model performance.
• Share results with all stakeholders and the broader community in an easily accessible and understandable way.
• Build solutions that may combine many different data science methods such as GenAI, clustering, parameter inference, feature design, feature discovery, feature engineering, classification, regression, visualization, etc.
Key Competencies: • Expert in UI development and visualization.
• Experience with one or more machine learning or advanced statistical domains and their real-world applications, advantages, and drawbacks (e.g. clustering, decision tree learning, artificial neural networks, Bayesian methods, Graphical Models, etc.).
• Creativity in solving challenging problems with uncertain solutions.
• Adaptability and flexibility. Ability to juggle multiple projects serving a diverse array of stakeholders.
• Excellent verbal and written communication skills. Ability to present findings clearly to both technical and non-technical audiences.
• Excellent problem-solving skills applicable to internal and external needs.
• Experience with at least one database technology (e.g. Tabular, Graph, Document, Vector, etc.)
• Familiar with at least one statistical and data-oriented programming language (e.g. Python, R, etc.).
• Experience working with and creating data structures, abstract data types, and domain models.
• Demonstrated ability to work both independently and collaboratively.
Required Education, Certifications, and Experience: • BS in computer science or related technical field.
• 3+ years of experience building front-end solutions for AI, ML, and Data Science applications.
• 2+ years' experience using statistical computer languages (R, Python, SQL, Julia, etc.)
• 3+ years' experience using a variety of data science and/or machine learning methods.
Preferred Qualifications: • Experience with UI development within Salesforce.
• Experience with Angular
• Experience/background in Healthcare and/or supply chain management.
• Experience with the AWS ecosystem.
• Experience with GenAI models and solutions.
• Experience working with multiple database technologies (e.g. Tabular, Graph, Document, Vector, etc.)
Key Differentiators: • Insatiable curiosity with an orientation toward finding creative ways to add value to customers and other stakeholders.
• A drive to learn and master new technologies and techniques.
• A creative thought leader who challenges orthodoxy.
• A sense of humor and a highly collaborative personality.
Salary range: $122,900 - $163,800
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