About Immunai:

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform.

As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.

Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the role:

In this role, you will focus on processing and annotating single-cell RNA-seq data, ensuring data quality, and supporting internal data consumers. You will collaborate with various teams to develop and test data processing pipelines and contribute to building internal references for cell type prediction.

Location: Prague, Czech Republic. Hybrid position (3+2 days/week model), must be based in Prague

*Applications for a fully-remote work will NOT be considered!

What will you do?

• Operate internal single-cell RNA-seq data processing and annotation pipelines (GEX, CITE-Seq, TCR/BCR seq data, Spatial transcriptomics)
• Perform quality control (QC) of analyzed data
• Pre- and post-processing data handling
• Contribute to development and testing of pipelines for data processing, QC and annotation
• Build internal references for cell type prediction and database content harmonization
• Author and maintain technical and project documentation
• Support internal data consumers from collaborating teams
• Collaborate with stakeholders across data curation, software engineering, computational biology, and immunology
• Keep up to date with internal & external developments in the field

Required qualifications:

• MS/PhD in computational biology/bioinformatics (or similar) or MS/PhD in molecular biology or similar (a biomedical field such as immunology, infectious disease etc.)
• Advanced R programming language skills - a MUST; Python knowledge is a plus.
• Proficiency with Linux/Unix; bash scripting is a plus
• Experience in applied NGS data processing such as transcriptomics (RNA-seq, scRNA-seq) Additional experience with other omics methods is a plus
• Proficiency in English both written and spoken - a MUST
• Attention to details

Desired personal traits:

• You want to make an impact on humankind
• You prioritize “We” over “I”
• You enjoy getting things done and striving for excellence
• You collaborate effectively with people of diverse backgrounds and cultures
• You have a growth mindset
• You are candid, authentic, and transparent

*Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/