Start Date: As soon as possible

Salary: $50,000 CAD/year with benefits

Project description: The focus of the project is on the large-scale analysis of multi-omics datasets from human gut microbiome in the context of pediatric inflammatory bowel diseases. The goal of the project is to integrate the results of metagenomics, metatranscriptomics and metaproteomics datasets in a machine learning framework to identify predictive signatures of treatment responses in inflammatory bowel disease patients and classify them accordingly.

This research will take place at the Faculty of Medicine of the University of Ottawa. Ottawa is considered to be one of the best livable cities on the globe.

The ideal candidate should:

• Have a Ph.D. in Bioinformatics, Computational Biology, Machine Learning, Biostatistics, Genomics, or a related field

• Have experience with omics data analysis from next-generation sequencing technologies

• Have knowledge and experience with large-scale biological data analysis

• Have experience in analyzing clinical datasets

• Have experience in the computational analysis of large biological datasets such as ENCODE and TCGA.

• Be experienced with machine learning techniques applied to large biological datasets

• Have proficiency in a programming language such as Java, C, C++, Python, R or Matlab.

• Be comfortable in a Linux environment.

• Be a team player

• Have the ability to work independently

• Have strong written and verbal communication skills and a good ability to communicate with colleagues in biological sciences

• Have a strong publication record.

Additional assets considered for this position:

• Have experience in proteomics data analysis

• Have a working knowledge of annotation databases such as Gene Ontology, GeneCards, Ensembl, and Reactome

• Have experience working in a collaborative and multidisciplinary team environment

To apply for this position:

Please submit a complete CV, a cover letter and the names and contact information of three references to Dr. Mathieu Lavallée-Adam at this address: [email protected]

Department: Ranish Lab

Location: Seattle, WA

The Ranish Group at the Institute for Systems Biology is seeking a highly motivated scientist to conduct research investigating how hematopoietic stem cells differentiate into mature red blood cells. To accomplish this goal, the lab is developing mass spectrometry-based technology to quantify the transcription factor proteome as cells differentiate. The data will be used to model the transcriptional regulatory networks underlying this process.  The models will guide future experiments to understand how specific transcription factors drive cell fate decisions. The successful applicant will be expected to design, execute, analyze, and troubleshoot experiments.

Lab website

Key responsibilities include 

Development and application of mass spectrometry-based proteomics technologies
Recombinant protein expression and purification
Discuss and present research at internal meetings
Manuscript preparation

Qualifications:

PhD in analytical chemistry or biomedical sciences (i.e., molecular/cellular biology or biochemistry)
Strong interest in mass spectrometry-based proteomics and gene regulation
Ability to organize and prioritize work, work efficiently and independently
Strong verbal and written communication skills

The Trinkle Lab (trinklelab.com) is recruiting a Research Assistant/Technician to join our team in studying the roles of protein phosphatases in the cellular response to DNA damage and other stressors . We employ an integrative approach that combines high end imaging techniques with quantitative proteomics and genomics to dissect molecular pathways. We’re looking for self-motivated individuals who thrive in a collaborative environment and are looking to gain further experience in molecular and cellular biology, microscopy and mass spectrometry-based assays. Interested candidates should send their CVs to [email protected].

The D’Amours laboratory is currently recruiting graduate students and post-doctoral fellows. Please send your CV to: [email protected]