You will be joining a multi-disciplinary team of software engineers, bioinformaticians, and biologists to tackle the most burning questions of the pharmaceutical industry using cutting-edge data. You will focus on deciphering disease mechanisms, identifying biomarkers of drug response, identifying novel drug targets, and predicting combinations. All based on human clinical and molecular data empowered by the company disease model. This role is customer-facing. You will be working with the best pharma companies in the world to bring novel therapies to patients.

Responsibilities:

• Apply your strong analytical capabilities and a solid understanding of biology to lead the analytical component of our collaborations
• Work closely with immunologists to explore the data, build and execute analysis plans and deliver biological insights
• Work with our core team to develop and implement algorithms to push our technology even further
  
  

Requirements:

• Ph.D. in Computer Science, Computational Biology, or related disciplines
• 3+ years of hands-on experience in omics data analysis preferably in the field of machine learning
• Good understanding of statistics and bioinformatics methods
• Experience in R
• Experience in working with public biological databases, methods, and tools
• Strong communication skills with fluency in English
• Team player, positive and driven
• Attention to details and fast learner
  
  

Advantages:

• Experience in developing analysis methodologies
• Experience analyzing diverse data types (e.g. transcriptomics, single-cell analysis)
• Background in Immunology
• Publication track record and public speaking experience