Job Listings

The Cumming School of Medicine and Faculty of Science at the University of Calgary are accepting applications for a Postdoctoral Scholar in Bioinformatics and its application to Wastewater-Based Surveillance (WBS) of antimicrobial resistance and emerging pathogens. The postdoc will be part of an interdisciplinary research team that uses wastewater to track the dynamics of infectious agents. We have developed an integrated surveillance network monitoring 43 municipalities, as well as several sentinel surveillance hubs including a large number of tertiary care hospitals and populations of special interest from which we collect samples 1-3x per week.  Wastewater data can be compared with population-level data and hospital-specific data drawing from a single provincial health provider – and the potential of this unique network is exceptional. To date we have amassed >2000 samples that have been processed as raw wastewater and culture enriched raw wastewater (for specific pathogens).  A parallel agriculture and agri-food network is being developed which will be further leveraged.  The postdoc will work directly with a transdisciplinary team of clinicians and researchers at the University of Calgary (Cumming School of Medicine and Faculties of Science, Engineering, and Veterinary Medicine, and Advancing Canadian Water Assets (ACWA)) and their collaborators including those at the Universities of Alberta, Athabasca and Lethbridge. The Postdoc will also have the opportunity to collaborate with public health, pharmacy, infection control, and antimicrobial stewardship experts at Alberta Health Services. The successful applicant will join a productive transdisciplinary team with supporting research funding from NSERC, CIHR, Genome Alberta, and Alberta Health. Working with the Primary Investigators Michael Parkins and John Conly (Cumming School of Medicine, Departments of Medicine and Microbiology, Immunology & Infectious Diseases) and Casey Hubert (UCalgary Research Chair, Faculty of Science). The Postdoc will work as part of a large team that includes several HQP staff and trainees including those in graduate, undergraduate and post graduate training programs.  There will be abundant opportunities for collaboration with others interested in bioinformatics and mentorship of junior trainees.

AbCellera is breaking the barriers of conventional drug development to propel antibody-based medicines from target to clinic. We are a team of scientists, engineers, creatives, and business professionals who believe that advancing science enhances lives. We have developed technologies to unlock high-value drug targets, including antibody-drug conjugates and T-cell engagers for cancer, and complex transmembrane proteins for indications such as metabolic and endocrine conditions, pain, and autoimmunity. We are looking for a motivated and talented individual currently pursuing a PhD in Bioinformatics, Computational Biology, or Structural Biology to join our Protein Engineering team as an intern for an 8 month term. You will execute and implement workflows that will inform therapeutic development in two areas: (1) genomics surveillance of viral pathogens, and (2) protein and antibody engineering. In this role, you will interact with a diverse team in a fast-paced environment, liaising between wet-lab scientists, protein engineers, data scientists, and software engineers. While in this position, based in beautiful Vancouver, you will receive guidance and supervision from experienced team members within the Protein Engineering team. The internship is designed to offer exposure to real-world projects and the opportunity to contribute to the advancement of antibody-based medicines from target to clinic within Canada. How you might spend your days Develop bioinformatic tools and processes to monitor viral evolution of emerging pathogens, with the purpose of enabling the rapid identification of potential escape variants that may impact antibody therapeutics. This will involve identifying publicly available viral genome sequences, calling variants, classifying strains, and examining how genomic changes relate to viral pathogenicity, immune evasion, or drug resistance Develop, execute, and optimize antibody bioinformatics and in-silico protein engineering tools and workflows to accelerate therapeutic development. This will involve evaluation of antibody sequence diversity and sequence risks to help identify drug candidates, as well as implementation of strategies for sequence optimization and liability remediation Develop data visualizations and summary reports of complex data sets to help drive key scientific insights Prepare and present materials to educate internal and external partner teams, and communicate strategies, key findings, and implications We’d love to hear from you if You are currently pursuing a PhD in Bioinformatics, Computational Biology, Structural Biology, or a related field You are excited about the opportunity to develop and execute computational workflows to solve real-world drug discovery problems You have solid experience with bioinformatics tools for genome and evolutionary analyses, including sequence alignment, variant calling, phylogenetics, and data visualization, ideally in the context of viruses You have experience working with protein sequences and probing sequence-structure relationships to understand and optimize protein function You have working knowledge of antibody structure and function, and awareness of tools and techniques applicable to sequence optimization of antibodies (desirable) You have excellent programming skills in Python or another programming language, and experience collaborating on a shared codebase You are strongly self-motivated and work independently to identify project needs and follow that up with building and implementing solutions You are a collaborative team player who enjoys working with multidisciplinary teams to meet project deliverables and timelines You have experience preparing scientific reports and presentations to communicate research findings and drive decision-making What we offer AbCellera’s hiring range for this role is CAD $4,600 – $5,200 per month, commensurate with your education and job-related knowledge, skills, and experience. In addition to base pay, we offer a number of ways to support AbCellerites in maximizing their work-life synergy. You will have a vacation allowance as well as additional days off as part of our company-wide office closures (a real value to all!), and sick leave time while on your internship. Scientific and technical mentorship is a priority. And you’ll find we prioritize teams and social groups to build community and connections across AbCellera. About AbCellera AbCellera is a global company that discovers and develops antibody-based medicines that help people live longer, happier, and more productive lives. We are focused on bringing innovative medicines to patients, both by advancing our internal pipeline of programs and partnering with companies that have novel science or innovative technology. And it all starts with our team. We’ve built a place where people feel they are part of something bigger than themselves. A place that exists to push the limits of science and technology, and aims to bring better therapies to patients. We look for people with drive and energy. Idealists. People we love and people we trust. This may be unconventional, but it is the key to our success. To apply Please submit your application through our website and refer to Job ID 23278 in your cover letter. We apologize in advance, but we receive a large volume of applications and are only able to contact those who are selected for an interview. Start date: ASAP Duration: 8 months Location: Vancouver, BC Workplace arrangement: On-site

Laboratoire : Laboratoire de Bioinformatique et Protéomique (ADLab) – Pr. Arnaud Droit. Le laboratoire est spécialisé dans le développement de méthodes computationnelles avancées et d’approches statistiques pour l’analyse de données massives. ADLab collabore avec des partenaires académiques et industriels à l’échelle internationale et dispose d’infrastructures de calcul de haut niveau. Institution : Faculté de Médecine, Université Laval, Québec, Canada Description du poste : Le laboratoire du Pr. Arnaud Droit (ADLab) recrute un(e) doctorant(e) en informatique pour développer et appliquer des algorithmes quantiques, destinés à l’analyse de données biologiques. Le projet s’articulera autour de la conception de solutions algorithmiques innovantes, appliquées à des problématiques de bioinformatique. Le ou la candidat(e) intégrera un environnement de recherche dynamique avec accès à des infrastructures de calcul avancées et des collaborations internationales.

Laboratoire : Laboratoire de Bioinformatique et Protéomique (ADLab) – Pr. Arnaud Droit. Le laboratoire est spécialisé dans le développement de méthodes computationnelles avancées et d’approches d’intelligence artificielle et statistiques pour l’analyse de données massives. ADLab collabore avec des partenaires académiques et industriels à l’échelle internationale et dispose d’infrastructures de calcul de haut niveau. Institution : Faculté de Médecine, Université Laval, Québec, Canada Description du poste : Le laboratoire du Pr. Arnaud Droit (ADLab) recrute un(e) étudiant(e) en bioinformatique pour travailler sur l’analyse de données de protéomique issues de spectromètres de masse de dernière génération. Cette recherche s’effectuera dans le cadre de la lutte contre l’antibiorésistance, qui représente une menace majeure pour la santé publique. Cette problématique est la conséquence de la surutilisation des antibiotiques qui favorise l’émergence de bactéries résistantes, rendant de nombreuses infections difficiles à soigner. Il est ainsi crucial de développer de nouvelles approches pour détecter et contrer ces résistances. Le ou la candidat(e) contribuera ainsi au développement d’outils informatiques pour l’analyse et la validation de données protéomiques ainsi qu’à l’application de méthodes d’apprentissage automatique pour l’identification de biomarqueurs diagnostiques dans des fluides biologiques (détection de bactéries, résistance aux traitements, etc.).

Whole Person Benefit Packages | Relocation Assistance |Research Faculty Incentive Plans Moffitt Cancer Center, the top-ranked NCI-designated comprehensive cancer center in the Southeastern United States, is seeking a faculty member in the tenure-earning rank of Associate/Senior Member (Associate/Full Professor equivalent) to be the Vice-Chair for the Department of Biostatistics and Bioinformatics and the Associate Scientific Director for the Biostatistics and Bioinformatics Shared Resource (BBSR). Position Highlights: The growing Department of Biostatistics and Bioinformatics and corresponding Shared Resource currently has 17 faculty and approximately 26 BBSR staff members engaged in a wide range of statistical and bioinformatics research and collaborations on clinical, translational, population and biological studies in cancer prevention, early detection, treatment, prognosis and survivorship, drawing on expertise in novel therapeutic and drug discovery, prognostic and predictive biomarker development, chemoprevention, microbiome, high throughput genomics, proteomics & metabolomics, next-generation sequencing, spatial biology, molecular epidemiology, behavioral interventions, comparative effectiveness research, clinical trial design, and precision medicine. Many of these projects draw upon Moffitt’s Total Cancer Care initiative, which provides access to a comprehensive set of clinical and molecular data on a large number of cancer patients. The Department of Biostatistics and Bioinformatics is the largest academic department at Moffitt and one of three departments in the academic Division of Quantitative Sciences within the Moffitt Research Institute. Alongside the Departments of Machine Learning and Integrated Mathematical Oncology, the Department of Biostatistics and Bioinformatics offers a unique environment for quantitative scientists focused exclusively on cancer. Institutional investments in the Moffitt Cancer Analytics Platform, high performance computing, and the Total Cancer Care Protocol offer unique resources for data-driven team science. Tampa is a thriving metropolitan city that provides its residents a high quality of life. The Tampa Bay area has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. Questions about the opportunity may be directed to the Department Chair, Dr. Xuefeng Wang at xuefeng.wang@moffitt.org or search committee chair, Dr. Michael Schell at Michael.Schell@moffitt.org. Review of applications will begin immediately. Please be sure to attach your CV and cover letter. To apply, visit our website MOFFITT.org/Careers and refer to requisition number 83761

Whole Person Benefit Packages | Relocation Assistance |Research Faculty Incentive Plans The growing Department of Biostatistics and Bioinformatics and corresponding Shared Resource currently has 17 faculty and approximately 26 BBSR staff members engaged in a wide range of statistical and bioinformatics research and collaborations on clinical, translational, population and biological studies in cancer prevention, early detection, treatment, prognosis and survivorship, drawing on expertise in novel therapeutic and drug discovery, prognostic and predictive biomarker development, chemoprevention, microbiome, high throughput genomics, proteomics & metabolomics, next-generation sequencing, spatial biology, molecular epidemiology, behavioral interventions, comparative effectiveness research, clinical trial design, and precision medicine. Many of these projects draw upon Moffitt’s Total Cancer Care initiative, which provides access to a comprehensive set of clinical and molecular data on a large number of cancer patients. The Department of Biostatistics and Bioinformatics is the largest academic department at Moffitt and one of three departments in the academic Division of Quantitative Sciences within the Moffitt Research Institute. Alongside the Departments of Machine Learning and Integrated Mathematical Oncology, the Department of Biostatistics and Bioinformatics offers a unique environment for quantitative scientists focused exclusively on cancer. Institutional investments in the Moffitt Cancer Analytics Platform, high-performance computing, and the Total Cancer Care Protocol offer unique resources for data-driven team science. Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Xiaoqing Yu, Search Committee Chair, at Xiaoqing.Yu@moffitt.org. Review of applications will begin immediately and continue until the position is filled. Tampa is a thriving metropolitan city that provides its residents a high quality of life. The Tampa Bay area has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. Equal Employment Opportunity Moffitt is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. Moffitt seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.