Position Summary

The Computer Science (CS) department at the University of Illinois at Chicago, in conjunction with the Center of Bioinformatics and Quantitative Biology (CBQB), is seeking an outstanding faculty candidate in computational biology at the rank of assistant or associate professor. Candidates in all areas of computational biology are encouraged to apply.

The UIC CS department currently has 42 tenure-system faculty, 5 research faculty, and 17 clinical/teaching faculty, with strong and broad research agendas, ranging from machine learning, theory, database, and systems. Faculty at the CBQB conduct research in bioinformatics, biophysics, systems biology, and multi-scale modeling. There is a vibrant research environment in bioinformatics and computational biology at UIC, with well established collaborations among faculty from CS, CBQB, College of Liberal Arts and Sciences. and College of Medicine.

We are seeking innovative and collaborative individuals who will develop his/her independent research programs in computational biology. Successful candidates will have ample opportunities to collaborate with faculty members from CS, CBQB, and other engineering departments, as well as basic science and clinical departments in the College of Medicine, and College of Liberal Arts and Sciences. There are additional collaboration opportunities with the University of Illinois Cancer Center, the Center for Clinical and Translational Science, and UI Hospital and Health Sciences at UIC.

The CS department is located in the heart of Chicago. Construction of a new building housing CS department is under way and is expected to open in 2023. The building will include 80 faculty offices, 16,000 square feet of classroom space, 23 shared student offices, numerous collaborative learning and teaching spaces, and a geothermal farm to assist with sustainable heating and cooling. The salary and start-up package will be highly competitive and commensurate with the level of excellence expected of successful applicants.

Candidates should have a PhD in Computer Science, Bioengineering, Bioinformatics or closely related fields, and the potential for excellence in research, teaching, and student mentoring. Applications must be submitted at https://jobs.uic.edu/, and must include a 1-page cover letter, curriculum vitae, teaching, research, and diversity statements. Links to a professional website such as Google Scholar or Research Gate are recommended. Candidate’s cover letter should include a description of how multicultural issues have been or will be brought into courses and a description of previous activities mentoring minorities, women, or members of other underrepresented groups. Names and addresses of at least three references should also be provided. Applicants may contact the faculty search committee at cs-compbio-tt-search@uic.edu for more information. Fullest consideration will be given to applications received by January 10, 2023, but applications will be considered until the position is filled.

We are committed to building a diverse faculty preeminent in its missions of research, teaching, and service to the community. Candidates who have experience engaging with a diverse range of faculty, staff, and students, and contributing to a climate of inclusivity are encouraged to discuss their perspectives on these subjects in their application materials. UIC offers religious holidays and encourages flexible working hours.

UIC is a major public research university (Carnegie R1) with about 3,100 faculty, 34,000 students, and a total of $446 million sponsored research awarded in 2022. UIC is committed to increasing access to education, employment, programs, and services for all. UIC is committed to supporting the success of dual-career couples.

Chicago epitomizes the modern, livable, vibrant, and diverse city. World-class amenities such as the lakefront, arts and culture venues, architecture, festivals, and two international airports make Chicago a singularly enjoyable place to live. Yet the cost of living, whether in an 88th floor condominium downtown or on a tree-lined street in one of the nation’s finest school districts, is remarkably affordable. Chicago is voted the 2nd best city in the world in 2022 according to the Time-Out Index.

The University of Illinois at Chicago is an affirmative action, equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, or status as an individual with a disability.

Offers of employment by the University of Illinois may be subject to approval by the University’s Board of Trustees and are made contingent upon the candidate’s successful completion of any criminal background checks and other pre-employment assessments that may be required for the position being offered. Additional information regarding such pre-employment checks and assessments may be provided as applicable during the hiring process.

The University of Illinois System requires candidates selected for hire to disclose any documented finding of sexual misconduct or sexual harassment and to authorize inquiries to current and former employers regarding findings of sexual misconduct or sexual harassment. For more information, visit https://www.hr.uillinois.edu/cms/One.aspx?portalId=4292&pageId=1411899.

The Donnelly Centre for Cellular and Biomolecular Research, in the Temerty Faculty of Medicine at the University of Toronto invites applications for a full-time tenure stream position in the area of computational biology. The appointment is at the rank of Assistant Professor, with an expected start date of September 1, 2023.

We seek a colleague whose research interests complement and strengthen our existing scientific community, which encourages interdisciplinary collaboration and innovative technology development. The successful candidate must have a Ph.D. in a relevant field by the time of appointment, with an exceptional track record in computational biology with scholarly interests in artificial intelligence and machine learning. Candidate must also have a demonstrated record of excellence in research and teaching. The candidate will receive institutional support to establish a research program that innovate and apply computational approaches for analysis and interpretation of large-scale datasets and that will benefit from being embedded in an interactive community of experimental and computational biologists. Preference will be given to candidates with postdoctoral training in computational sciences (computational biology, bioinformatics or quantitative biology).

The successful candidate is expected to pursue innovative research in computational biology at the highest international level and to establish an outstanding, competitive, and externally funded research program. Candidates must provide evidence of research excellence that can be demonstrated by the submitted research statement, publications in leading journals, invited scientific presentations, awards and accolades, and strong letters of references with endorsements from referees of high standing.

Candidates are also expected to demonstrate excellence in teaching. To this end candidates must provide a statement of teaching philosophy and interests, which should refer to previous teaching-related activities such as experience as a teaching assistant or course instructor, leading workshops or seminars, student mentorship, or awards for oral presentations and posters at conferences. Reference letters should indicate the candidate’s suitability for undergraduate and graduate teaching and mentorship. The candidate will actively participate in the research and teaching ecosystems of the Donnelly Centre and the Department of Molecular Genetics, where the successful candidate will have a graduate school appointment. They will also participate in the Computational Biology in Molecular Genetics (CBMG) Ph.D. track, offered through University of Toronto’s Department of Molecular Genetics. Salary will be commensurate with qualifications and experience.

State-of-the-art research space will be provided in the Donnelly Centre, which is in the heart of downtown Toronto, one of the safest and diverse metropolitan areas in the world. The Donnelly Centre is an interdisciplinary research institute at the University of Toronto with the mandate to create a research environment that encourages integration of functional genomics, computer science, engineering and biology, and that spans leading areas of biomedical research (http://www.thedonnellycentre.utoronto.ca). The Department of Molecular Genetics (https://moleculargenetics.utoronto.ca/) holds a leadership position in Canada and internationally as a premier venue for biomedical and life sciences research and education. Toronto is a vibrant and cosmopolitan city, one of the most desirable in the world in which to work and live, and a major centre for advanced computer, medical and biological technologies. The University of Toronto has one of the most concentrated biomedical research communities in the world, including 10 academic hospitals/research institutes that are all fully affiliated with the University. This community that attracts more than $1.37B in annual research investment.

All qualified candidates are invited to apply online by clicking the link below. Applicants must submit 1) a cover letter; 2) a one-page summary that includes education/training history, and a 350-word abstract of their research plan; 3) a curriculum vitae that includes information regarding their most significant scientific contributions (up to five) as they relate to the application; 4) a statement of current and long-term research interests (three to five pages); and 5) a statement of teaching philosophy and interests as outlined above (one page).

In addition, applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each after an application is submitted (this happens overnight). Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date.

Submission guidelines can be found at http://uoft.me/how-to-apply. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format.

If you have any questions about this position, please contact Ms. Sylvie Besnard at sylvie.besnard@utoronto.ca.

All application materials, including reference letters, must be received by January 16, 2023.

For more information about the Donnelly Centre for Cellular and Biomolecular Research, please visit https://thedonnellycentre.utoronto.ca/.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.

The Centre de recherche du CHU de Québec-Université Laval (axe Oncologie) is seeking faculty candidates for an assistant professor position at the Faculty of Medicine of Université Laval. Candidates must be conducting or aiming to develop innovative and interdisciplinary research program focusing on solving important problems in cancer biology, prevention and treatment with a major emphasis on bioinformatics, system biology, data science, and/or machine learning. The new faculty member will have the opportunity to join established research groups including the Centre de recherche sur le cancer de l’Université Laval (CRC), the Centre de recherche en données massives (CRDM) as well as the Institut intelligence et données (IID). In the last years, our institution benefited from significant investments including a new state-of-the-art Tier 3 data/computing center, led by a dedicated IT team (VALERIA) which manages our institutional data lake. We also benefit from a data-driven research platform (PULSAR), allowing researchers to share, reuse, link and increase the visibility of their data in compliance with the FAIR principles. Therefore, the new faculty member will have access to a cutting-edge data research infrastructure providing easy access, flexibility and reliability for data-driven research projects.
Candidates must have a Ph.D. in a relevant field of study, a postdoctoral or comparable experience, a demonstrated record of research excellence and should have made important contributions to their field. Preference will be given to applicants with an outstanding record conducting team science and collaborative research.
Salary support and start-up funds are available starting in the first half of 2023. High profile candidates will have the opportunity to apply for Canada Research Chairs.
Applications, including a summary of proposed research program (3 pages), a curriculum vitae and the names and addresses of two referees, should be sent before November 25th 2022 to the recruitment committee (recrutement.axe-oncologie@crchudequebec.ulaval.ca).
About Centre de recherche du CHU de Québec-Université Laval
Our vision: innovate to prevent and treat
In a world where healthcare needs are constantly and rapidly rising, and where scientific innovation, technological development and artificial intelligence hold the lion’s share of society’s collective wealth, the Centre de recherche du CHU de Québec-Université Laval (CRCHUQc-UL) already stands out due to the quality and originality of its different teams of researchers in basic as well as translational, clinical, epidemiological and populational research. In an environment that is constantly evolving and faced with the growing complexity of acquiring knowledge and new technology, researchers must show more solidarity and exploit all available resources regarding their respective scientific competencies, as well as the various methods of funding. To maintain its remarkable momentum, our research center must not only continue to advance in each of the seven axes where it has made its mark, but also promote collaboration between these axes and the dissemination of findings that have made the reputation of its researchers. Join the CRCHUQc-UL and become part of the largest French-speaking health research centre in North America.
About axe Oncologie
Our vision: implement precision oncology as a standard of care
The mission of axe Oncologie of CRCHUQc-UL is to bring clarity and resolution to complex scientific problems related to cancer, for the benefit of patients and society. Meeting this challenge is made possible thanks to our diverse and multidisciplinary research expertise that span the entire spectrum of health sciences. This includes basic research in cellular and molecular biology and medical physics, clinical research, as well as physical and psychosocial health care and public health interventions. The research programs pursued within the division are grouped into three themes: 1) Biology, etiology and prevention, 2) Screening, diagnosis, prognosis and treatment, 3) Survival, quality of life and health services.

DEPARTMENT OF BIOCHEMISTRY AND MEDICAL GENETICS

MAX RADY COLLEGE OF MEDICINE, RADY FACULTY OF HEALTH SCIENCES

ASSISTANT/ASSOCIATE PROFESSOR, TENURE-TRACK/TENURED

ACADEMIC POSITION NO. 32367

Position Description

The Department of Biochemistry and Medical Genetics, in the Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba is seeking an outstanding individual to fill a full-time, probationary (tenure-track) or tenured faculty position in computational biology at the rank of Assistant or Associate Professor.

The successful candidate will develop a program that enhances the Department of Biochemistry & Medical Genetics’ emerging strength in computational biology and precision medicine and enriches existing departmental research concentrations in cancer, epigenetics, rare genetic disorders, and neural/vascular development. The position could begin as early as April 1, 2023 or as negotiated.

The University of Manitoba is a driving force of innovation, discovery and advancement. Our momentum is propelled by our campus community – UM faculty, staff and students whose determination and curiosity shape our world for the better. Our teaching, learning and work environment is uniquely strengthened and enriched by Indigenous perspectives. With two main campuses in Winnipeg, satellite campuses throughout Manitoba, and world-wide research, UM’s impact is global.

Discover outstanding employee benefits, experience world-class facilities and join a dynamic community that values reconciliation, sustainability, diversity, and inclusion. We are one of Manitoba’s Top Employers and one of Canada’s Best Diversity Employers. At the University of Manitoba, what inspires you can change everything.

We are seeking 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.

In this role, you will:

• Support selected research projects, working independently with researchers at the Harvard Chan School, Harvard and the broader Boston biomedical community.
• Provide expertise in the use of specialized bioinformatic tools and analysis methods to researchers and collaborate in analyzing and interpreting their data.
• Teach workshops and develop new training content geared towards graduate students, postdocs, research staff and faculty.