We are a pre-seed femtech startup building pHera: an ultra-precise colorimetric vaginal pH test that can be read using a cellphone camera and machine learning for accuracy. The system would detect colorimetric images and predict with a high level of accuracy discrete pH values, delivering lab-quality diagnostic precision to women and doctors - anytime, anywhere!

To make pHera robust and scalable, pHera is looking for a computer vision and machine learning engineer to design and implement the complete computer-vision pipeline: from image capture, colour detection and pH prediction.

• Implement computer vision algorithms for color detection from captured images
• Integrate machine learning models for accurate pH prediction based colour detection
• Ensure performance across different smartphone devices and lighting conditions

Applicants who clearly outline in thier cover letter how they would implement these three tasks will be prioritised.

• Based in Berlin
• Eager to work in an early-stage, science-driven, female health startup
• Comfortable with ambiguity, self-directed, and proactive

Flexibility: choose freelance, part-time or full-time

Hybrid work environment with office space in Berlin

A competitive salary for 6 months with the possibility of extension

pHera is closing the gender health gap!
Most existing vaginal pH test strips are analog, low-resolution, visually subjective, and
poorly suited for women’s health applications. Doctors need fast, reliable tools to
help with complicated diagnoses. Women deserve clarity, not guesswork when
managing their vaginal health from home. A high-resolution pH test can catch
imbalances early, making it easier to monitor issues like bacterial vaginosis,
recurring vaginal infections, sexually transmitted infections, ovulation, PCOS, and
menopause. By building pHera, you would be building a tool that would advance women's health.