Job descriptions:

• Develop and validate novel AI and ML models and methods for Genome mining for natural products and synthetic biology.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on genomics and genome engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both written and spoken, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience with generative genome language models (GLMs) and with functional genome annotation tools, such as antiSMASH and deepBGC.
• Familiarity with the tools and concepts of molecular evolution at the genome, protein, and nucleotide level.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.