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Senior Research Assistant (Computational Biology) - Monash Biomedicine Discovery Institute, Monash University

BDI Monash University is one of the largest and most successful biomedical research institutes in Australia. The BDI brings together more than 100 teams in a highly interactive environment, with access to truly world-class infrastructures. For details, please look at-

Our laboratory research interest focuses on how transcription factors (TFs) and epigenetic regulators, along with small RNAs and long non-coding RNAs (lncRNAs) regulate gene expression programs in ES cells, neural stem cells and differentiated cells under normal and pathological conditions, such as, cancers and neurodegenerative diseases. We use various experimental approaches including Cell and Molecular Biology, Biochemistry, CRISPRs, CRISPRs screens, ChIP-seq, RNA-seq, WGS, ATAC-seq, RRBS, ChIA-PET, 3C, 4C, Hi-C, proteomics and bioinformatics. For research details, please see:

Job description: Job No. 557456

Faculty / Portfolio: Faculty of Medicine, Nursing and Health Sciences School of Biomedical Sciences Department of Anatomy and Developmental Biology

Location: Clayton campus

Employment Type: Full-time

Duration: Three year fixed-term appointment

Remuneration: $82,645 – $90,646 pa HEW Level 07 (plus 17% employer superannuation)

Education/Qualifications requirement:

  • A PhD in Bioinformatics, Computer Science, Mathematics, Statistics would be desirable with significant research experience in the field of Bioinformatics, Computational biology, Genomics and Epigenetics Knowledge and Skills
  • Excellent knowledge and hands on experience in NGS data, particularly- ChIP-seq, RNA-seq, WGS, ATACseq, HiC and ChiA-PET, SNPs and related genomics datasets
  • Able to work independently and in teams
  • Candidates should have excellent written and oral communication skills
  • High-level of project management skills with a record of successfully coordinating and/or supporting projects
  • Planning and organizational skills, with the ability to prioritize multiple tasks and set and meet deadlines
  • Ready to handle creative and challenging assignments
  • Willing to learn machine or deep learning, developing new bioinformatics tools
  • A demonstrated awareness of the principles of confidentiality, privacy and information handling

If you are interested, please send a cover letter, CV and contact information for 3 references via email to me-Dr. Partha Pratim Das. PhD ( or OR apply through this link:

Closing Date: Sunday 28 May 2017, 11:55pm AEDT

Click here for further details..