Senior AI Research Scientist

Senior AI Research Scientist

Classification: FLSA Exempt

Reports To: Director of AI Research

Summary

As senior research scientist you will develop robust, scalable solutions related to Indica Labs’ products; work closely with internal teams to advance new and existing models; monitor the latest advances in AI and digital pathology and evaluate opportunities for improvements. You will participate in the research and development of computational tools related to Indica Labs’ HALO AI platform.

Duties and Responsibilities

• Responsible for the development, implementation, and maintenance of AI-related research projects.
• Develop computational methods for the classification, segmentation, stratification, or characterization of features of interest in multimodal datasets.
• Lead research efforts in a team setting of scientists and software engineers.
• Interface with internal and external collaborators in project development and execution.
• Maintain an awareness of emerging research trends in the fields of image analysis, deep learning, computer vision, etc. which inform product development.
• Provide mentoring and guidance as needed and ensures members of the teams have the necessary resources to complete their projects.
• Interface with team members to aid the migration of research projects into other products.
• Responsible for the appropriate accessing and handling of electronic Protected Health Information (PHI) as outlined by policy and the Health Insurance Portability and Accountability Act (HIPAA)
• This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice

Minimum Qualifications

• Graduate degree (PhD/Masters or international equivalent) in quantitative discipline, e.g. computer science, computational biology, bioinformatics, biomedical engineering, physics, statistics, or mathematics.
• Three (3) years of relevant (industry) work experience, especially related to AI software development in the field of digital pathology.
• Authorization to work in the United States, or appropriate authorization to work in the applicant’s current home country (Indica Labs, Inc. does not sponsor work visas)

Preferred Qualifications

• Strong publication record within digital pathology, microscopy, or image analysis, with an emphasis on AI applications.
• Five (5) years of relevant work experience, especially related to AI software development in the field of pathology
• Preference given to applicants currently residing in New Mexico.

Knowledge, Skills, and Abilities

• Expertise in one or more machine learning frameworks, e.g. pytorch, mxnet, tensorflow, JAX.
• Expertise in best practices for scientific reproducibility and version control.
• Experience working with large-scale imaging datasets containing hundreds or thousands of whole slide images and associated clinical metadata.
• Experience with DevOps and MLOps.
• Proficiencies in object-oriented programming languages, e.g. Python, C#, C++, and data analysis libraries.
• Intellectual curiosity and domain knowledge which drives interesting and tractable research questions.
• Ability to deliver presentations on complex research topics to diverse, interdisciplinary scientific audiences.
• Demonstrated ability of working in highly collaborative environments.
• Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse, global community
• Ability to effectively manage time and schedules
• Project management skills
• Strategic planning skills

Location

This is a remote position, located in the employee’s home state or country. Candidates in New Mexico will be considered in office employees (100%) for this position.  

Working Conditions and Physical Effort

• Up to 5% travel (for annual company meeting)
• No, or limited physical effort required
• No, or limited exposure to physical risk
• Work is normally performed in a typical interior/office work environment

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