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

This is a coordination role within the company’s Data Generation Ingestion Curation group combining aspects of data management & data stewardship. In this role, the candidate will:

• Manage data cycles between data generators, curators, hosting infrastructure, and the end users
• Facilitate collaboration across the different disciplines, including a deep understanding of all activities, needs, and bottlenecks to ensure seamless data cycles
• Contribute to further development and implementation of metadata and data management solutions and best practices
• Manage data acquisition from public archives with ‘controlled access’ requiring adherence to specific data sharing policies
• Ensuring alignment of internal/external data handling with corresponding data policies
• Author and maintain technical and project documentation
• Collaborate frequently with scientists, data curators & software developers
• 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
• Familiarity with FAIR data management principles is a distinct advantage
• Track record in project management is a distinct advantage
• Experience in management of data-oriented projects involving data registry, data maintenance, and data integrity is a distinct advantage.
• Basic coding knowledge is a plus
• Excellent communication skills
• Excellent organization and time management skills, with an ability to multitask
• Strong analytical skills, problem-solving ability, and attention to detail
• Proficiency in both written and spoken English
  
  

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