Immunai was founded on the belief that combining immunomics and machine learning can unlock the next generation of immunomodulatory drugs and improve the chances of drugs getting to patients. Using single cell multiomics and functional genomics, we have begun the process of phenotypically and functionally mapping the human immune system at unprecedented scale & granularity. By applying neural networks and transfer learning to this massive immune database we are generating novel insights into immune disease pathology and elucidating the mechanisms of action and resistance of immunomodulatory drugs. We are using these insights to identify and validate immune targets and target combinations, support the development of improved therapeutics, and increase the speed and success with which new therapies are brought to market. We are a multidisciplinary team of immunologists, engineers, drug developers, computer scientists, and entrepreneurs singularly focused on an engineering-first approach to bringing breakthrough medicines to patients.

Location - Prague, Czech Republic

For details - www.immunai.com

Key Responsibilities

Read, understand, and summarize scientific literature
Support the definition of new data standards, data models, terminologies, and ontologies
Implement, leverage, and support metadata and data management solutions and best practices.
Harmonization of internal and external data with in-house and public ontologies
Facilitate integration of meta-data into the GENEVESTIGATOR database
Collaborate frequently with scientists, statisticians, data curators & software developers
Author and maintain technical and project documentation
Communicate strategies, ideas, goals, and progress to the collaborating teams

Requirements:

MSc / MD / PhD in the field of molecular biology, medical biology, or genomics - MUST
Master’s degree will be considered with relevant working experience
Thorough understanding of complex biomedical/biomarker data and/or clinical trial data
Understanding of a variety of methods used in research, both in vivo and in vitro
Familiarity with RNA biology and next-generation sequencing is a plus
Familiarity with FAIR data management principles is a plus
Proficiency with Linux/Unix; bash scripts is a plus
Programming experience in scripting languages is a plus (e.g., R, Python, Perl)
Proficiency in written English
Strong attention to details

Desired Personal traits

Open, honest, and transparent communication
Ability to collaborate effectively with people of diverse backgrounds and cultures
Ability to work independently with minimal guidance while consistently exercising good judgment
Having a growth mindset

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