



Position: Scientist, Systems Immunology
Mission Statement
Through single-cell biology, computational biology, and artificial intelligence, Immunai is reprogramming the immune system to develop improved drugs and therapeutics.
Background
Immunai was founded in December 2018. We are a multidisciplinary team of immunologists, genomics technologists, computer scientists, engineers, mathematicians and operators singularly focused on solving an audacious challenge. Backed by some of the leading scientific minds in immunology, oncology, and single cell genomics, we are up for the challenge.
Immunai has begun the process of mapping millions of immune cells and their functions in order to build a proprietary data set for clinical immunological data. The immune system mapping will play an important role in boosting R&D efforts in developing targeted therapies for different diseases. The company noted that the immune system consists of trillions of cells that are divided into different cell types that perform different functions. Because of the complexity of the system, it can be difficult to determine how drugs will interact with the immune cells. This increased understanding can be used to boost clinical response to different cellular therapies.
Immunai’s mission is to map the immune system with neural networks and transfer learning techniques informed by deep immunology knowledge. We developed the tools and knowhow to help every immuno-oncology and cell therapy researcher excel at their job. This helps increase the speed in which drugs are developed and brought to market by elucidating their mechanisms of action and resistance.
Location - NYC, NY on site
For details - shlomit@immunai.com
Reports to - Senior Scientist, Immunology
Position Summary
This position offers an opportunity to work in a highly collaborative startup environment with world-leading scientists developing and applying state-of-the art genomic technologies to a diverse set of projects at the intersection of the immune system and disease. The successful candidate will work in a fast-paced team alongside highly experienced senior scientists. Specifically, they will join the Early Discovery team to establish and use physiologically relevant model systems to generate and analyze datasets for interrogating the immune system in health and disease. The role will interface closely with a multidisciplinary team of immunology, functional genomics and bioinformatics scientists and will be crucial for the development of relevant translational immunology applications. The successful candidate will be an excellent team player, agile in thought, energetic, and willing to learn new methods and skills.
Responsibilities