Research Fellow

A Research Fellow is required to coordinate concurrent research projects in the laboratory of Dr Max Lam, located in Institute of Mental Health. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful candidate will work together with the PI to coordinate and lead large-scale cohort studies related to mental health disorders. Strong communication and problem-solving skills are essential, along with the ability to work both independently and collaboratively with multidisciplinary teams from various partner institutions.

Duties & Responsibilities

• Quality control of genomic (whole genome sequence), epigenomic, metabolomic, and transcriptomic data (including RNA-seq).
• Advanced bioinformatics and genetic analyses of thousands of clinical and molecular phenotypes at a population scale, including integrative omics studies.
• Evaluation and application of appropriate statistical techniques, as well as developing and implementing novel approaches, to for batch correction, imputation of missing data, and testing new hypotheses.
• Building databases and result visualization browsers.
• Scripting and automating robust analysis pipelines.
• Detailed record keeping (Git repository).
• Presentation of work-in-progress and results within the research group, using appropriate presentations format.
• Any other tasks assigned
  
  

Requirements

Candidate should possess:

• PhD degree in bioinformatics or statistical genetics, computational biology, or related field.
• Experience working with big genomic datasets; a good understanding of genomic approaches (including but not limited to genome/phenome-wide association studies, burden tests, QTL studies, colocalization, fine-mapping) is essential.
• Proficient in R, Python, Linux/Unix.
• Command over commonly used statistical genetics tools (e.g., PLINK, GCTA, HAIL, FUMA, variant predictor tools).
• Experience working in high performance computing cluster.
• Experience in AI/ML, cloud computing, web development are assets.
  
  

Interested applicants are to indicate the names of two referees in their submitted CV when applying for this position. Any applications without referees will not be considered for this position. Only shortlisted candidates will be notified for an interview for this position.

A Research Fellow is required to coordinate concurrent research projects in the laboratory of Dr Max Lam, located in Institute of Mental Health. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful candidate will work together with the PI to coordinate and lead large-scale cohort studies related to mental health disorders. Strong communication and problem-solving skills are essential, along with the ability to work both independently and collaboratively with multidisciplinary teams from various partner institutions.

Duties & Responsibilities

• Quality control of genomic (whole genome sequence), epigenomic, metabolomic, and transcriptomic data (including RNA-seq).
• Advanced bioinformatics and genetic analyses of thousands of clinical and molecular phenotypes at a population scale, including integrative omics studies.
• Evaluation and application of appropriate statistical techniques, as well as developing and implementing novel approaches, to for batch correction, imputation of missing data, and testing new hypotheses.
• Building databases and result visualization browsers.
• Scripting and automating robust analysis pipelines.
• Detailed record keeping (Git repository).
• Presentation of work-in-progress and results within the research group, using appropriate presentations format.
• Any other tasks assigned
  
  

Requirements

Candidate should possess:

• PhD degree in bioinformatics or statistical genetics, computational biology, or related field.
• Experience working with big genomic datasets; a good understanding of genomic approaches (including but not limited to genome/phenome-wide association studies, burden tests, QTL studies, colocalization, fine-mapping) is essential.
• Proficient in R, Python, Linux/Unix.
• Command over commonly used statistical genetics tools (e.g., PLINK, GCTA, HAIL, FUMA, variant predictor tools).
• Experience working in high performance computing cluster.
• Experience in AI/ML, cloud computing, web development are assets.
  
  

Interested applicants are to indicate the names of two referees in their submitted CV when applying for this position. Any applications without referees will not be considered for this position. Only shortlisted candidates will be notified for an interview for this position.