Bioinformatics Scientist (Machine Learning)

A company that provides end-to-end solutions with AI, discovering biomarkers from human microbiome.

Your new company
An innovative company that provides end-to-end solutions with Artificial Intelligence, discovering biomarkers from human microbiome and contributing to important work in clinical trials and drug discovery. The company is led by experienced members of the pharmaceutical and diagnostics industry, backed by scientific advisors and global investors.

Your new role
  • Implement and develop machine learning approaches to complicated biological datasets.
  • Develop pipelines and cloud-based infrastructure for Metagenomic Data Processing
  • Collaborate with various stakeholders to develop and implement tools
  • Metagenomic data mining, processing, structuring and interpretation.

What you'll need to succeed
  • Background in life science, bioinformatics, computational biology or related fields,
  • Experience in Machine Learning
  • Experience in the use of general bioinformatics tools, knowledge of metagenomics is a plus
  • Expert in R is needed, Python is a plus
  • Experience in Linux environment, Shell scripting
  • AWS essentials.
  • Familiar with SQL databases (database design, access with R/Python),
  • Familiar with Docker, orchestration tools (Nextflow or Snakemake)

What you'll get in return
  • Real world therapeutics solutions for patients
  • Work with state of the art technology amongst experts of the field
  • Young, aggressively expanding bio company scaling globally

If this job excites you

Apply now or forward your updated CV to Lijie Ong at +65 81006059 or email lijie.ong@hays.com.sg for a confidential discussion on your career.

Hays Registration Number: R22108533, EA License: 07C3924, Company Registration Number: 200609504D. #1242813

Summary

Job Type
Permanent
Industry
Technology & Internet Services
Location
Singapore
Specialism
Data & Advanced Analytics
Ref:
1242813

Talk to a consultant

Talk to LiJie Ong, the specialist consultant managing this position, located in Singapore
#27-20 UOB Plaza 2, 80 Raffles Place

Telephone: 62234535

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