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Data Ontologist (Scientist/Scientist II)

Immunai

Immunai

Czechia
Posted on Friday, August 25, 2023
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