(Senior) Principal Scientist, Computational / Systems Biology at Deep Genomics
Cambridge, Massachusetts, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Sep, 25

Salary

0.0

Posted On

17 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Datasets, Genomics, Computer Science, High Throughput, Transcription, Translation, Bioinformatics, Human Biology, Critical Thinking, Visualization, Human Genetics, Promoters, Machine Learning, Python, Interpersonal Skills, Data Processing

Industry

Information Technology/IT

Description

ABOUT US

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.

KEY REQUIREMENTS

  • PhD in Computer Science, Bioinformatics, Genomics or related fields with at least 5 years of work experience, preferably in industry setting
  • Extensive experience with -omic data processing and developing standardized processing and analysis pipelines e.g., transcriptomic, proteomics datasets
  • Experience with single-cell analyses, including single-cell RNA-seq data processing and analysis. Experience with additional technologies such as single-cell ATAC is nice to have
  • Experience in visualization of complex genomic data, and automated report generation
  • Ability to perform differential expression, gene co-expression or network analyses
  • Strong scientific programming skills (Python preferred) and experience with high-throughput or cloud compute (especially GCP)
  • Basic understanding of human genetics, such as genomic regions and regulation (e.g., exons, introns, enhancers, promoters, transcription, translation, micrRNAs, RNA-binding proteins etc.); basic understanding of human biology and disease
  • Previous work experience in cardiometabolic or CNS diseases is desirable
  • Familiarity with machine learning or AI models in the context of -omics is an advantage but not required
  • Previous experience in managing direct reports and/or external vendors is desirable
  • Self-driven with critical thinking, intellectual curiosity and commitment to innovation
  • Excellent communication and interpersonal skills
Responsibilities

Please refer the Job description for details

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