Image Analyst, Precision Medicine Classification: FLSA Exempt (US only) Reports To: Sr. Imaging Scientist or Associate Principal Scientist, Precision Medicine. *** Seeking job applicants with good knowledge of histology, histopathology and some experience in digital pathology, not computer vision or data/AI scientists.

Summary

This is a scientific and technical position responsible for performing scientific analysis on digital pathology images with appropriate presentation of key data to the stakeholders. Duties and Responsibilities Contributes to end-to-end histo-pathology image analysis studies on projects involving Indica Labs’ collaborators and clients. Conducts image analysis and quality control tasks using Indica Lab’s suite of software on digital pathology images, including image annotations, image analysis algorithm training and data analysis. Maintains regular status communications, where appropriate, with collaborators, clients and Indica team throughout a study’s execution. Prepares study reports for internal and external projects and is able to present results, data, and findings. 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

Bachelor’s Degree in relevant biomedical science discipline. Good knowledge of histology and histopathology. Basic knowledge of working with image analysis software designed to analyze digital pathology samples. Authorization to work in the United States, or appropriate authorization to work in the applicant’s current home country (Indica Labs does not sponsor work visas) Valid Passport for international travel and willingness to travel internationally

Preferred Qualifications

One (1) year experience in image analysis or digital pathology. One (1) years working experience with cancer or immunology histopathology. Knowledge, Skills, and Abilities Ability to deliver presentations to small and large scientific audiences. Ability to work collaboratively. A passion for providing superior project delivery Basic skills in Information Technology (IT) and network knowledge Ability to provide complex data in an easy to understand format Critical thinking skills Ability to work for extended periods of time using computer screens Location This position reports to our headquarters in Albuquerque, New Mexico, USA, and is open to global applicants. Candidates currently residing within 100 miles of Albuquerque are considered for 100% in-office positions. Candidates currently residing outside of this area are considered for fully remote positions in their home state or country. Working Conditions and Physical Effort Up to 5% global travel on short notice No, or limited physical effort required No, or limited exposure to physical risk Work is normally performed in a typical interior/office work environment Indica Labs, LLC is proud to be an Equal Employment Opportunity, Affirmative Action, and Drug-Free employer. We take pride in providing equal employment opportunities to all employees and applicants regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Additionally, it is standard company policy to provide reasonable accommodations to qualified individuals who have protected disabilities to the extent required by applicable laws. All candidates will be required to submit unofficial transcripts as a condition of application. Due to the nature of our business, and to meet United States Federal, State, and International requirements, final selected candidates must pass a background check for employment and will be required to submit unofficial transcripts.