Assistant Professor
Itai Sharon
Our Vision
Unlocking the Biological system to power new Diagnostic & Therapeutic Discoveries and improve Patient Outcomes

Our Technology
BiotaX is building deep explainable AI models based on system biology that can predict multiple disease states and calculate optimal interventions supported by cutting-edge meta-genomic AI analysis platforms
TaxonAI- Novel deep insights Computetional Platform
BiotaX is building deep explainable AI models based on system biology that can predict multiple disease states and calculate optimal interventions supported by cutting-edge meta-genomic AI analysis platforms


CustomeBiome
BiotaX patented CustomBiome presents next-generation LBP production technology, which is able to isolate targeted live microbes on the strain level ( TaxonAI Output ) based either on their taxonomy or gene functional BiotaX can package these microbes as customized live biotherapeutic products (LBPs) to fight dysbiosis in a personalized and disease-specific way.
Focus Area
Leadership Team



Prof. Naama Geva-Zatorsky
Co-Founder, CS
Head of the Microbiome Lab,The Technion, Rappaport Faculty of Medicine, Technion Integrated Cancer Center.Her research combining systems-biology with microbiology and immunology to study the interactions between gut microbes and the host immune system in health and disease. Her Ph.D from the Weizmann Institute, studying systems-biology of protein dynamics in cancer. Her postdoctoral was at Harvard Medical School, studying gut microbiota-host interactions
Shay Hilel
Co Founder, CEO
Serial entrepreneur with vast experience as founder, senior executive & business manager CEO and Co founder of BrainVu (Acquired in 2018 ). Head of the Alcatel Lucent Digital Multimedia Division (Was Spin-off and acquired by Nantworks in 2014 ). Shay worked both in startups and corporate organizations with a verity of hands-on technology leadership roles
Dean Light
Co Founder,CTO
A computational biology & SW architect expert focusing on complex multidisciplinary problems. Prior to BiotaX, Dean was software architect @Technion Data & Knowledge (TDK) Lab - the computer science faculty and developer team lead @Lamm lab - the department of biology , Technion.
Dean holds an M.Sc. in Biology and B.Sc. in both Mathematics and Computer Science from the Technion.
Dean is a recipient of the 2019 Sherman award for distinguished academic achievement in multidisciplinary research.
Advisory Board / Consulting
Open Positions
Biotax is a well-funded company that aims to change the way in which cancer diagnostics and treatment development is done. Joining Biotax AT this stage will mean joining the core and future leadership team of the company where your work at Biotax could make an impact and help save lives.
As a growing Biotechnology Startup, we are looking for new team members who are tapping in to the forefront of research and development of advanced Genomics, Machine learning BigData Microbiology.
Data Engineer
Full Time
Biotax is looking for a Data Engineer to join the RnD team and take a key role in developing and optimizing algorithms and data pipelines for the metagenomic diagnostic platform.
Who are you
You are a talented motivated individual who is passionate about working with us to make a meaningful impact in the world of early cancer detection and prevention. You have experience in developing pipelines and working with data. Simultaneously, you want to take your software development, DevOps and MLOps skills to the next level.
Why you should join Biotax
Biotax is a well-funded company that aims to change the way in which cancer diagnostics and treatment development is done today. We are tapping into the forefront of advanced solutions in ML research, ML ops and cloud based automation. Working with us, you could build next generation genomic pipelines while using and contributing to the state of the art in data versioning and lineage,MLOps and DevOps. Joining us in this stage will mean joining the core and future leadership of the company. Your work at Biotax could help save lives while improving your ability and productivity as a top-class Data Engineer.
Primary Responsibilities
Be at the core of the RnD team, taking charge of developing and optimizing algorithms, together with our CTO.
Build and optimize data pipelines that integrate multiple data sources.
Take ownership and improve our dataOps cycle in the company, while learning from experts in the field of DevOps and MLOps.
Participate in the invention and development of new algorithms architectures and tools.
Implement and support integration of automation frameworks for training, testing and deployment of new models.
Participate in writing patents and other documentation on the underlying IP.
Technical Requirements
At least 2+ years of industry experience in a Data engineer position.
Knowledge in a high level programming language and a scripting language.
Experience in Unix environments.
Experience in working with cli of cloud service providers.
Experience in Kubernetes.
Experience with automated ML ops solutions – advantage
Experience with biological/medical/genomic domains - advantage
Personal Requirements
Can explore and research for new solutions from varying sources.
Collaborate effectively with people with diverse background and skills.
Quick learner, highly adaptable to new stacks.
Ability to work well in teams and with external consultants/personnel.
Excellent communication skills.
Desire to grow together with and within the company.
