Informatics Team Member

At Mendel, we harness AI to revolutionize healthcare. Our ambition is to ensure every patient's journey informs healthcare decisions, optimizing treatment plans and promoting drug discoveries. Through comprehensive analysis of patient health records, we aspire to deliver timely and precise care. If you share our zeal for healthcare advancement through technology, let's reshape the future together.

As an Informatics Team Member, you will work in a hybrid capacity, with a balance of remote work and in-office presence. Your role is strategically impactful, requiring you to be physically present in the office on designated days to collaborate closely with cross-functional teams. The flexibility of remote work will allow you to join late meetings that can be effectively attended outside the office while ensuring your in-office time maximizes your communication with your team.

Description of the Responsibilities of an Informatics Team Member

• Design and Strategy: Design and implement our ontology framework for symbolic data processing, with a strong emphasis on medical databases and academic research. Ensure the accurate representation of medical knowledge within the ontologies.
• Ontology Development and Maintenance: Develop and maintain ontologies while ensuring they are up-to-date and accurately reflect evolving medical knowledge and standards.
• AI Output Enhancement: Contribute to the continuous improvement of AI outputs, particularly in the analysis of medical texts, ensuring high-quality and reliable results.
• Integration of AI Techniques: Assist in projects integrating symbolic AI with machine learning models aiming to enhance the overall data analysis capabilities and provide more robust solutions.
• Documentation and Communication: Document and present findings, methodologies, and best practices to both technical and non-technical audiences. Share in the creation of cross-functional tasks' guidelines and rules.
• Product and AI Optimization: Partner with internal teams to drive improvements in product and AI quality. Support the optimization of reporting tools to better meet organizational needs.
• Validation and Process Improvement: Validate data and AI model accuracy, identifying and solving inefficiencies in current processes.
• Continuous Learning and Innovation: Stay up-to-date with the latest advancements in symbolic AI, knowledge representation, and their applications in healthcare.
  
  

Basic Qualifications

• A baccalaureate degree in a relevant healthcare field, namely medicine or pharmacy.
• Proficient use of Google and Microsoft Suite applications.
• Specialized clinical and scientific expertise relevant to clinical data, such as prior experience with real-world datasets, designing clinical algorithms or clinical phenotypes, or creating other complex logic using clinical data.
• Familiarity with healthcare data and interoperability standard terminologies. (e.g., HL7, FHIR, ICD-10, SNOMED CT, RxNorm).
• Effectively conveys essential knowledge of diseases' processes, diagnostics, therapeutics, and other clinical data concepts.
• Strong skills in analyzing, researching, and synthesizing large amounts of data.
• Strong organizational and time management skills, with the capacity to adapt to change.
  
  

Preferred Qualifications

• Understanding and familiarity with the basics of AI, such as, but not limited to, Machine learning, Symbolic AI, LLMs, and Formal Logic.
• Python/SQL/R programming is nice to have.
• Experience in data cleaning, manipulation, visualization, and statistical analysis, particularly in the context of healthcare data.
• Ability to design, conduct, and interpret analyses to support clinical decision-making and healthcare outcomes.
• Experience with clinical ontology engineering.
• Clinical research/clinical trial operations experience.
• Familiarity with the basic principles, practices, and policies related to biomedical research and protection of human subjects.
• A Postgraduate degree, or research experience is nice to have.
  
  

Hiring Axes

Clinical Data Specialists Acumen:

• Familiarity with creating training datasets for AI model improvements.
• Solid understanding of clinical processes and various aspects of clinical management.
• Basic knowledge of clinical data abstraction and its role in healthcare.
  
  

Clinical Informatics Acumen:

• Deep understanding of current clinical care delivery and research advancements.
• Extensive experience in real-world data analytics, clinical research, and health technology solutions development.
• Solid knowledge of AI methodologies in biomedical contexts, including machine learning and symbolic AI systems.
  
  

Product and Technical Engagement:

• Ability to contribute clinical and scientific insights to product development and technical projects.
• Understanding of system design considerations, including balancing clinical accuracy, speed to market, and scalability.
  
  

Communication and Management:

• Strong verbal and written communication skills, with the ability to explain complex topics in a clear manner.
• Experience in collaborating effectively with team members and team leads.
  
  

Cultural & Mission Alignment:

• Deep alignment with Mendel's mission and a strong belief in the transformative power of AI in healthcare.
• A passionate commitment to advancing healthcare delivery and research, demonstrated by a dedication to excellence in the role.
  
  

Why should you join our team:

At Mendel, we believe in the transformative potential of technology. We offer a dynamic and rewarding work environment, competitive compensation, and comprehensive benefits. If you share our passion for innovation and making a difference in healthcare, Mendel could be the place for you. Join us as we work to improve the future of healthcare.

Mendel is a very collaborative environment. You will be taking ownership of your work and collaborate directly with different teams to see it going into production and used by customers. At the same time, you will be mentored by world class AI scientists, software engineers, and clinical and business leaders. Hear from our team here.