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At Umami Bioworks, we are pioneering cultivated, 'not caught' seafood by developing the production system for delicious, nutritious, and affordable cultivated fish, starting with IUCN Red Listed species that are difficult to farm and being driven extinct by human consumption. We are partnering with food producers to scale our cultivated seafood production system to provide people around the world with a stable, resilient, local supply of seafood free from mercury, antibiotics, microplastics, and ocean pollutants.

We’re on a mission to empower humanity to eat sustainably without sacrifice. We believe the only way to change how the majority of the world eats meat and seafood is to create real seafood - the most delicious, healthiest seafood available - without the environmental and animal welfare consequences of our current practices.

We’re a venture-backed biotech startup located in Singapore where some of the world’s smartest, most passionate people are pioneering a sustainable food future that is attractive and accessible to people around the world. We are united by our collective drive to ask tough questions, take on challenging problems, and apply cutting-edge science and engineering to create a better future for humanity. At Umami Bioworks, you will be encouraged to dream big and will have the freedom to create, invent, and do the best, most impactful work of your career.

Umami Bioworks is looking to hire an inquisitive, innovative, and independent Bioinformatics Scientist to join our R&D team in Bangalore, India.

Responsibilities

• Perform genome assembly, annotation, and identification of novel genes in newly sequenced species for cell characterisation, quality marker development & traceability
• Utilise -omics technologies such as genomics, proteomics, and transcriptomics to profile & evaluate cells
• Develop and implement bioinformatics pipelines for data processing and analysis and supporting machine learning algorithm development
• Support cell line and cell culture media development with genotype and phenotype insights
• Building genome-scale metabolic models (GEMs) for aquatic species to support culture media and product development
• Explore bioinformatics/computational tools to support exploratory requests from the team
  
  

Core competencies

• Experience in analysing -omics data including genomics, transcriptomics, proteomics, metabolomics data
• Experience in genome assembly and annotation for newly sequenced species is desirable
• Proficient in programming languages such as R and Python to analyse large-scale biological datasets
• Experience in applying machine learning in biological research
  
  

Experiences

• PhD in Bioinformatics, Genomics, Computational Biology, or a closely related field
• 2-5 years of experience in bioinformatics research
• Proven experience in analyzing large biological datasets using R and Python
  
  

Other Qualification

• An India citizen or permanent resident
  
  

You will work directly with other members of our small but growing team to do cutting-edge science and will have the autonomy to test new ideas and identify better ways to do things.