Translational Immunologist; computational focus

Kalamazoo; (partly) on site with the client.

Bio Lizard is a growing scale-up company providing bioinformatics and software engineering solutions for customers in biotech, pharma and academia. Typically, a lizard adjusts to its surroundings and that is exactly what we do. At Bio Lizard we adapt to our customers’ data environment! The research field is rapidly becoming more data-driven. We strive towards offering state-of-the‑art bioinformatics, software development and machine learning solutions to help solve our customers’ biological questions.

Location is Kalamazoo, USA. Presence at the client’s site is expected.

• Lead the analysis, integration and interpretation of complex multi-omics datasets (genomics, transcriptomics, proteomics, metabolomics) to generate actionable biological and immunological insights, moving beyond statistical significance to identify clinically or mechanistically relevant immunological pathways.
• Develop, implement, and validate unsupervised machine learning models, focusing on clustering approaches.
• Independently design and manage pipelines and workflows for efficient processing and analysis of omics data.
• Collaborate closely with a multidisciplinary team including immunologists, geneticists, functional genomics experts, biologists, and other data scientists.
• Stay current with the latest advancements in multi-omics and machine learning methodologies.
• Support biomarker discovery efforts through computational data analysis.

• Overall:
  • You are customer driven and always looking for the best possible solution for the client.
  • You like to work collaboratively with clients as well as with internal teams.
  • You have a business mindset: looking for opportunities as well as up and cross sells.
  • You can translate data into biology and can communicate very well with different stakeholders.
  • You think data and speak biology.
• Skills/education?
  • Primary requirement: advanced degree (Master’s or PhD) in immunology, immuno‑oncology, or a related biological field with a strong track record of using computational approaches to solve biological questions.
  • Secondary requirement: we will consider candidates with an advanced degree in Bioinformatics, Computational Biology, Data Science, or related field only if they possess a proven track record in immunology (e.g. PhD thesis, peer‑reviewed publications).
  • Proven research experience with multi-omics data.
  • Familiarity with unsupervised machine learning models, especially clustering.
  • Experience with programming languages such as Python and R.
  • Experience developing and validating computational models.
  • Ability to work independently and collaboratively within a cross‑functional team.
  • Familiarity with bioinformatics tools, databases, and data visualization techniques.
  • Fluent in English.

• A challenging and motivating work environment where like-minded people strive towards top‑grade results in a continuously evolving research domain.
• A personal growth trajectory focusing on self‑development and knowledge expansion.
• Project guidance, together with senior profiles and our academic network of experts.
• An attractive salary package with additional benefits.