Jobs

Position:                      Research Associate II – Outreach Coordinator
Location:                     MaRS Centre, Toronto
Department:                Computational Biology
Reports To:                 Project Manager, Reactome
Salary:                         Commensurate with level of experience
Hours:                          Flexible (Full-time or Part-time options up to 35 hours/week)
Job Type:                    Hybrid or Remote
Status:                         Full-time Permanent or Renewable Contract

The Ontario Institute for Cancer Research (OICR) is seeking an experienced and highly motivated individual to act as Outreach Coordinator for the Reactome project.

Reactome (reactome.org) is an open access and open-source curated database of human biomolecular pathways. Pathways are assembled from the published literature by Masters- and PhD-level scientists and integrated into powerful bioinformatics analysis tools on the Reactome website. Our interdisciplinary and international team comprises biologists, software engineers, and user interface designers. 

As Reactome Outreach Coordinator, you will lead our community outreach activities, strengthening existing collaborations and developing initiatives to foster new ones. Working with the software and curatorial teams, you will coordinate Reactome communications, including conference presentations, workshops, scientific and lay papers, and social media. You will develop education and training materials for in person and online learning and will contribute to the documentation on the Reactome web site.

Computational Biologist

Permanent full-time position

About the position

Imagia Canexia Health is currently on the lookout for an experienced Computational Biologist. The candidate will be part of our Computational Science team, which leads the bioinformatics research and development program at Imagia Canexia Health (ICH). Reporting to the Sr. Manager of Computational Science, you will develop software and methodologies to perform analysis of genomic sequencing data using leading-edge DNA sequencing technologies to detect genetic markers for cancer treatment and prognosis. You work independently as well as together with software programmers, other computational biologists, clinical geneticists, and laboratory personnel.

This is a full-time employment opportunity based in our Vancouver office with the possibility of remote work in hybrid mode.

To be eligible for this position, an applicant must be legally entitled to work in Canada.

What you’ll be accountable for :

As a member of our team, you will:

• Evaluate and screen externally developed tools for potential internal adoption.
• Work closely with the laboratory team to develop bioinformatics pipelines and methodologies to detect genetic markers from novel assay developments.
• Provide analysis and interpretation of genomic data.
• Work closely with the software team to integrate the novel pipelines in the ICH Informatics Platform and to optimize the pipelines.
• Evaluate the algorithm performance in commercial and clinical samples.
• Develop, manage, and document genome sequencing data analysis pipelines and other algorithms and statistical models.
• Keep up-to-date with novel methods and algorithms for variant analysis in cancer genome sequencing data.

About you

The person our team is looking to welcome

The preferred candidate generally holds a Ph.D. in computational biology, computer science, ML/AI, applied mathematics, or bioinformatics. Any equivalent combination of education and experience could also be considered.

Requirements

• Proven track record: of strong publications that you are ready to show us.
• Research experience: Prior experience working in computational biology.
• NGS: Experienced in advanced-level genomic and/or next-generation sequencing analysis or methods development.
• Commendable analytical skills: Experience in developing and implementing computational biology algorithms. Understanding of computational techniques such as machine learning and deep learning, Bayesian approaches, probabilistic models, and elementary statistics.
• Attention to detail: Uncompromisingly meticulous with the execution of analysis.
• Linux/UNIX: Experienced in working with command-line interfaces.
• Coding: Proficient with Python (desirable) or other coding languages.
• Tech savvy: Experienced for 3+ years with standard NGS analysis tools such as samtools, alignment software.

Nice-to-haves : 

• Experience in cancer genomics
• Experience in analysis of Targeted Sequencing Data and/or Whole Genome Sequencing Data
• Experience with GitHub and cloud-based computing such as AWS or Azure

About Us

We believe everyone with cancer should have the same fighting chance to survive and thrive. We work in a rapidly evolving field that attracts smart, talented people who are committed to making a difference for cancer patients. But not everyone has access to the latest advances. People who join us are committed to bringing equity to critical aspects of cancer care. We are a lean and driven team building on this vision from the ground up. You’re a self-starter who can pitch in right away by deploying your own expertise to make this shared vision a reality.

We are an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees.

Map of Life (MOL) and the Yale Center for Biodiversity and Global Change are seeking a Senior Software Engineer interested in developing new technologies to support effective global biodiversity monitoring, research, education, and decision-making. The Senior Software Engineer would lead and advise a team of existing Software Engineers and work closely with the Managing Director and PI. The successful candidate will assemble and integrate a wide range of knowledge about species distributions and other environmental data working with several existing partners (e.g., NASA, The Field Museum, Google, Esri). Map of Life is built on a scalable web platform geared for large biodiversity and environmental data and provides a range of information and biodiversity indicator products. Map of Life leads the data integration and mapping efforts of the Half-Earth Project which aims to identify and prioritize target areas for global biodiversity conservation.

Responsibilities and tasks will include: Managing and developing responsive web applications using JavaScript frameworks, Python, NodeJS, Go, and PostgreSQL/PostGIS, documenting through GitHub and workflow optimization, working in Unix-based systems, and collaborating on Esri services. Managing and building backend API services in Cloud environments. Managing and building frontend interfaces with frameworks like Angular, React, etc. Providing feedback on code, incorporating user feedback directly into products. Assessing and meeting technical and stakeholder needs. Conducting written and oral presentations of data, interpreting the findings, and providing conclusions and recommendations. Solving problems in an organized and logical manner.

We seek a talented and highly motivated Bioinformatician to join our dynamic, collaborative team focused on high-throughput sequencing (HTS) applications. The ideal candidate will have experience analyzing and interpreting omics data, and is enthusiastic to share their expertise through the core’s consulting and education programs. The candidate will work as part of a team of bioinformaticians to develop and apply bioinformatics workflows to support both standard and custom data analysis for variant calling, transcriptomics, epigenomics and multi-omics projects. This role provides a unique and rewarding opportunity to support and train world-class researchers and to make a profound impact on human health.

About us
The Harvard Chan Bioinformatics Core (HBC) is a center for bioinformatics research, services and training at the Harvard T.H. Chan School of Public Health. We work closely with biomedical scientists across Harvard to implement approaches for analysis, interpretation, visualization, and dissemination of scientific discoveries using high-throughput omics data.

Our multidisciplinary team works with biomedical research groups in the Harvard, MIT and Broad communities, and at local hospitals and industry. We work on a wide range of projects across domains, including but not limited to cancer, stem cell biology, immunology and neurobiology. Our core has a strong educational mission. Members of the core participate in training activities, with the goal to enable experimentalists to analyze their data independently. The HBC emphasizes teamwork and a supportive environment where we learn from each other.

About you
You have a background in biomedical or quantitative science and a strong interest in working with biomedical researchers. You thrive on scientific challenges, and enjoy collaborating with an interdisciplinary team. You can combine your knowledge of biology and computation to communicate effectively with programmers and wet-lab scientists alike. You are an independent learner, are keen to explore and apply new methods, and are motivated to continually expand your skills. You follow best practices for code and data management, have good organization skills, and are capable of simultaneously working on different projects and deadlines. You are experienced with high-throughput sequencing analysis and are comfortable mentoring junior researchers. An interest and/or experience in teaching all of the above-mentioned skills to wet-lab biologists, is a plus.

Position: Bioinformatics Research Associate I
Location: MaRS Centre, Toronto
Department: Computational Biology (Pai Lab)
Reports To: Dr. Shraddha Pai, Principal Investigator I
Salary: Commensurate with level of experience
Hours: 35 hours/week
Job Type: On-site
Status: Full-time, Temporary (2-year contract)

The Ontario Institute for Cancer Research (OICR) is seeking an experienced professional to fill the key role of Bioinformatics Research Associate I within the Computational Biology Program.

This position is temporary, full-time for two-years with the possibility of conversion to a permanent position.

The Pai Lab uses cutting-edge computational and experimental genomic techniques to advance precision medicine in cancer. Our goal is to use genomics to match patients with the best treatment options, and to find novel molecular targets for precise therapy. We discover biomarkers by integrating clinical and multi-‘omic data from normal tissues and tumours, with prior knowledge of pathways, gene regulation, disease association, and druggability. We use established software workflows and develop novel algorithms for functional inference, and specialize in systems biology and network-based approaches. Our collaborations are interdisciplinary and include genome scientists, computational biologists, clinicians, and experts in drug discovery, and we are part of the world-class precision genomics community at OICR.

The successful candidate will lead or co-lead genomic analyses in lab projects. They will work closely with graduate students and computational biologists in the lab, as well as collaborators, to develop new statistical methods and software for precision genomics. This is an exciting opportunity to learn about the latest developments in precision genomics and the use of graph-based approaches for data integration, while contributing to new research in cancer genomics, and creating new tools to help scientists and clinicians understand, diagnose, and treat cancer.

New employees who are required to work at OICR offices are required to be fully vaccinated for COVID-19 subject to the duty to accommodate on the basis of protected grounds pursuant to the Ontario Human Rights Code.

Fully vaccinated is defined as having received all of the required doses of a Health Canada approved vaccine and having received the final dose at least 14 days before your employment start date.

As described above, the requirement to be fully vaccinated is subject to the Ontario Human Rights Code. If the candidate is unable to receive the COVID-19 vaccine for a reason protected by the Code, requests for accommodation from the vaccine policy will be assessed on a case-by-case basis.

To learn more about working at OICR, visit our career page.