- About this Job
I'm the founder of BinomLabs, an innovative startup revolutionizing biochemistry labs via an online platform. We calculate data strongly correlated with experimental results in biochemical and pharma labs, significantly reducing errors as well as financial and resource wastage. Our technology integrates machine learning, classical thermodynamics, and stability parameters, potentially saving U.S labs $1.5 billion annually by eliminating fruitless in vitro experiments. I have generated a comprehensive online system but need a co-founder with the skills to help expand and strengthen this platform. The ideal candidate should be a passionate individual with a deep understanding of business development, marketing strategy, and growth hacking. Previous experiences in a startup environment and/or the biochemical sector would be substantially beneficial. As a co-founder, you would be working side by side with me in establishing BinomLabs as the pioneering entity in this space.
- Idea
Our startup, BinomLabs, is pioneering an online platform designed to support Biochemical and Pharma companies. We provide the opportunity to generate preliminary experimental data prior to executing high-stakes experiments, drastically reducing errors and resource wastage. Making use of classical thermodynamic theory, machine learning techniques, and a novel application of stability parameters, we provide calculated information that is consistently aligned with the data produced in biochemical labs.
- Problems
Reducing the financial costs of in vitro studies that do not yield results distinguishable from experimental error
- Solution
We offer calculated data that reflects the binding affinity of bio molecules. This correlates directly with experimental results, empowering biochemists to assess the feasibility of their experiments.