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Scientific Advisor



Posted on Monday, December 18, 2023

Scientific Advisor

About Sahha

Sahha is a B2B SaaS company at the forefront of digital health technology. We specialise in providing SDK interfaces for collecting and standardising digital health data from wearables and smartphone sensors, and offer API access for advanced data analysis. Our mission is to harness the power of digital health data to provide insightful, scientifically-backed solutions in mental health and wellbeing.

Role Overview

We are seeking experienced individuals to join our Scientific Advisory Board. Board members will play a crucial role in guiding the strategic direction of Sahha’s technology and products, ensuring they are grounded in scientific excellence and align with the latest research and industry standards in digital health, machine learning, and mental health.

Key Responsibilities

Provide expert guidance on Sahha’s product development across our scientific strategy
Evaluate and advise on the scientific validity and potential of emerging technologies and methodologies in the field of digital health.
Review and suggest improvements for Sahha’s machine learning models, ensuring they are ethically sound, scientifically accurate, and effectively meet user needs.
Offer insights into academic and industry trends, helping Sahha stay at the forefront of digital health innovation.
Assist in the interpretation of data analysis results and guide the translation of these insights into actionable strategies for product development and improvement.
Facilitate connections with academic and industry networks for collaborative opportunities and research initiatives.
Participate in quarterly meetings and provide ad hoc consultations as needed.


PhD, MD, or equivalent experience in a field relevant to digital health (e.g., Data Science, Behavioural Science, Psychology, Psychiatry, Biomedical Engineering).
A minimum of 5 years of experience in research or industry roles related to digital health, machine learning, mental health, or a closely related field.
A strong track record of peer-reviewed publications and/or significant contributions to the digital health industry.
Experience in applying machine learning techniques in the context of health data is highly desirable.
Excellent communication and collaboration skills, with the ability to translate complex scientific concepts into understandable terms for various stakeholders.

What We Offer

The opportunity to influence cutting-edge digital health technologies and make a significant impact in the field of mental health and wellbeing.
Collaboration with a dynamic team of experts in engineering, machine learning, scientific research, and business development.
Access to a wide network of industry and academic professionals.
A platform to shape the future of digital health data analysis and application.

How to Apply

Interested candidates should submit a CV, a brief statement of interest, and two professional references. Please also include a portfolio of relevant work, such as publications, projects, or contributions to the digital health field.