Moodify is a deep-tech startup that transforms the way fragrances are designed to power consumer products. Moodify’s unique platform enables molecular-level accurate control in the design of scent, through the use of neural networks and machine learning.

With its scent design AI solution, Moodify provides its partners with the ability to fully control the scent experience delivered to their consumers: increasing delight, eliminating bad smells, and solving supply chain, cost, and regulatory issues as part of the manufacturing process regarding products where the odor factor is of very high

importance.

Among Moodify’s customers are some of the world’s leading Fortune 500 companies in the consumer goods, and automotive food industries. Moodify is backed by Procter & Gamble, Toyota Ventures, OurCrowd, and other leading global corporates.

Moodify is located in Kfar Saba

Job description

We are looking for a full-time (5 days a week from the office) research engineer that

will take part in the research and development of innovative scents technologies.

Qualifications:

• M.A. in Cognitive Psychology or Neuroscience OR B.Sc. in Life Science
• Prior experience in basic lab work
• experience in preforming research and project management with various company's departments and customers
• Prior experience in data analysis, data cleaning or data reformatting
• Hands-on experience in a data science programming language - Python
• MATLAB experience – an advantage
• Familiarity with fragrance materials and essential oils – an advantage
• Excellent communication skills, responsibility, creativity, highly committed.
• Strong analytical and critical thinking skills. Highly Organized, teamwork abilities, fast learning.
• English – very high level

Duties and responsibilities:

• Design and execution of experiments 
• Hands-on research and laboratory work
• Writing and documentation of protocols and reports
• Data analysis of experiments’ results, drawing conclusions, presentation of results and proposals for next steps
• Contribute to database design, development, and creation.
• Data analysis of physico-chemical, biological, olfactory databases
• Support the lab supply and equipment needs.
• Review scientific literature.