We're Hiring!

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We are seeking a talented and highly motivated computational biologist with microbiome expertise to join our team as the Director of R&D. The position offers significant flexibility to get involved in a variety of R&D objectives. We are looking for a candidate with substantial interest in our mission as well as the entrepreneurial environment. 

You will draw upon your demonstrated proficiency in microbiome informatics and data science to further develop and refine our computational technologies to model and analyze the interactions between therapeutics and the gut microbiome. Your work will specifically involve developing/refining workflows for analysis of microbiome  data (e.g. metagenomics, metatranscriptomics, etc.) and integration of this data into our core technology to predict individual-specific interaction of drugs with the gut microbiome. Additionally, you will develop/improve different machine learning models for microbiome-drug interactions. Nexilico is closely working with multiple academic and industrial teams and therefore you will be in close contact with our collaborators and partners as well. You will join the Nexilico executive team and will be relied upon to put forth your evidence based and well-reasoned recommendations for roadmap milestones.

Personal Qualifications:

• Flexible and deadline/results driven
• Growth mindset and willingness to pick up new skills
• Excellent communication and teamwork skills to work with both experimental and computational scientists in a collaborative environment
• Highly self-directed and self-motivated
• Demonstrated creativity and productivity with strong problem-solving skills.
• High level of attention to detail and good organizational skills.
• Interested in commercialization of biotech technologies.

Professional Qualifications

Required:

• PhD in computational biology, bioinformatics, computer science, statistics or related quantitative fields.
• Strong background in analysis of large microbiome omics data and firm understanding of statistical methods for NGS data interpretation.
• Strong programming skills in Python
• Demonstrated experience with machine learning techniques, particularly in the context of large-scale omics dataset analysis 

Preferred:

• Post-graduate industrial and/or academic experience 
• Experience programming skills in C++ and/or R
• Experience working with a public cloud infrastructure such as AWS, GCP, or Azure
• Experience developing software packages
• Track record of previous grant-writing or fundraising in an academic or industrial setup
• Microbiology training, particularly experience working with microbiome samples