ML/AI Engineer/Senior Scientist

We are looking for a highly motivated ML/AI engineer or scientist to join our team.

Primary Responsibilities

● Develop novel computational methods based on ML/AI technologies for analyses of multi-omics data; identify gaps in existing methods, tools and workflows and develop novel solutions to bridge them.

● Complement the business development team in technical meetings and interactions with the customers; develop exemplary case studies on applications of ML/AI for multi-omics data to validate and demonstrate the novelty and quality of the solutions.

● Work with the bioinformatics and software engineering teams to implement solutions in production-quality software.

● Author publications by working with external academic collaborators and present at conferences

Requirements

● The candidate needs to be driven and have a “get things done” mindset and can work in a collaborative environment.

● At least 3 years of hands-on experience in developing ML/AI applications and statistical methods. Experience with large language models (LLMs) or other generative AI will be a plus. Familiarity with analysis of multi-omics, and NGS data will be a major plus.

● Coding and software engineering:

○ Fluency in one or more of the programming languages like Python/Go, and being able to quickly learn and program in a new language/s when required.

○ Familiarity with best practices in software engineering, like testing, code review, version control systems such as Git, and container deployments.

○ Preferably has experience working with cloud computing environments (AWS, GCP, etc) and/or Linux servers.

● Master’s or Ph.D. degree, preferably in Machine Learning/AI, Data/Computer Science or Statistics.