Field Application Scientist (FAS) – United States — Boston, MA
Aiforia — Boston, MA
This role covers the Boston, MA territory.
Stated in the posting
Experience: 3+ years
Location: US East Coast (Remote)
Employment Type: Full-time
Travel: Occasional regional and national travel for trade shows and client sites
About Aiforia
Aiforia's mission is to transform pathology image analysis with AI, enabling better care for each patient.
We equip pathologists and scientists in clinical and preclinical labs with powerful deep learning AI and cloud-based technology to improve the efficiency, consistency, and quality of tissue diagnostics and medical image analysis. Our product suite spans the full pathology AI workflow - from Aiforia Clinical Suite, used by pathologists for diagnostics, to Aiforia Create, the tool behind building the underlying AI models.
We are looking for a Field Application Scientist (FAS) to join our growing US team. Reporting to the Chief Commercial Officer, you will bridge the gap between cutting-edge AI technology and clinical/scientific application. You will be the primary technical resource for our customers, ensuring their success from initial onboarding to project completion.
Key Responsibilities
Customer Onboarding & Success: Lead technical training and onboarding, enabling customers to master Aiforia’s image analysis software and data interpretation.
AI Model Development: Maintain deep expertise in Aiforia’s platform to assist users in annotating, training, and validating high-performance AI models.
Project Management: Coordinate technical aspects of client projects, providing proactive engagement and troubleshooting to ensure milestones are met.
Sales Support: Partner with the US Sales team to provide technical pre-sales support, including software demonstrations and technical scoping for quotes.
Voice of the Customer: Identify and communicate technical feedback to the internal product and science teams to drive continuous software improvement.
Qualifications
Education: Master’s degree in Biological, Medical, or Biomedical Science (PhD preferred).
Experience:
4+ years of research experience involving pathology, microscopy, IHC, or molecular biology.
Minimum 3 years of professional experience in a scientific or industry setting.
Technical Skills:
Proficiency with microscopy images (histopathology, fluorescence, etc.).
Familiarity with conventional image analysis tools; knowledge of deep neural networks is a significant plus.
Soft Skills: Exceptional project management and prioritization skills. You must be able to balance multiple client projects simultaneously while maintaining high service standards.
Communication: Fluent in English with the ability to translate complex technical concepts for diverse audiences.
Why Join Aiforia?
Innovation: Work at the forefront of the medical AI revolution.
Culture: Join a supportive, multidisciplinary team with a low hierarchy and a mission-driven mindset.
Growth: Real opportunities for professional development in a rapidly scaling global tech company.
How to Apply and Important Details
Are you the person we are looking for? Please send your application through careers.aiforia.com. For data privacy reasons, we only accept applications submitted via the portal.
Work Authorization
Must be legally authorized to work in the United States without company sponsorship. Aiforia is unable to provide visa sponsorship at this time.
Privacy & Accommodations
By submitting your application, you acknowledge that you have read and understood Aiforia's privacy policy for job applicants. Please read before applying.
If you require a reasonable accommodation to complete the job application or interview process due to a disability, please contact us at careers@aiforia.com.
Equal Opportunity Employer
Aiforia is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, veteran status, or any other characteristic protected by federal, state, or local laws.