Clic Nutrition

Research Scientist

Remote, USPosted 4 days ago

Job Description

Research Scientist - Data Expert + Health & Wellness Full Time (Contract with Expansion Opportunity)About Clic & The Founding Team

Clic is building an advanced individualized supplement platform that will change how people approach daily vitamin and mineral use.

As we head towards the launch of this new product and corresponding technology, we are looking for an individual who has expertise in large-data sets as well as in nutrition and health. This is an ideal position for a scientist interested in AI-assisted health and personalization systems. You will be using information gleaned from wearables to assist consumers to individualize their daily supplement strategy.

This start-up is being generated by a strong team that has a proven track record of taking startups to multi-billion dollar valuations. We are looking for an individual that will be part of this innovation as we launch into the international health market.

Position Overview

We are looking for a dynamic, creative thinker who will work directly with the founding team on the scientific framework for Clic Nutrition.

The ideal candidate combines rigorous scientific thinking, preferably at a PhD level, with the ability to operate effectively in a fast-moving startup environment.

Responsibilities

  • Research and synthesize peer-reviewed literature across supplement ingredients, dosing, efficacy, interactions, and safety considerations;
  • Help design and validate the scientific logic behind Clic’s recommendation engine - creating algorithms in collaboration with the data team and feedback loops that personalize each consumer’s daily supplement use;
  • Develop frameworks that map biomarker inputs, lab data, wearable outputs, and health goals to personalized supplement recommendations;
  • Validate and stress-test recommendation outputs for scientific accuracy, safety, and clinical relevance;
  • Translate complex scientific findings into structured documentation and usable data formats...

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