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Dear All,
The University of Calgary is seeking a Postdoctoral Associate in the field of Bioinformatics. This position offers the chance to work on cutting-edge research projects at the intersection of genomics, computational biology, and data science.
SUMMARY:
Area: Genomics of Clinical and Environmental Fungi and Bacteria
Duration: One-year position (subject to renewal)
Start Date: ASAP
Salary: $60,000-65,000 depending on experience/year plus benefits
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.
DESCRIPTION:
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.
The successful candidate will be based at the University of Calgary and utilize archived (>2000 samples to date) and newly collected wastewater samples for bioinformatics and molecular analyses for the detection of bacteria, fungal and viral pathogens and antimicrobial resistance genes. The candidate will be exposed to multiple teams with complementary skillsets working across a range of labs and campuses. This position will utilize our existing research capacity in field sampling to follow with molecular detection using nucleic acid sequencing (amplicon and/or shotgun) based approaches. Applying or developing bioinformatics analysis pipelines is an essential part of this work. This postdoc will play a key role in our team¿s efforts to disseminate information, and there will be abundant opportunities to contribute to peer-reviewed publications and presentations. Accordingly, contributing to the preparation of manuscripts will be a high-priority objective for this position. Additional responsibilities will include participating in and supporting the team described above and some supervision of junior colleagues.
QUALIFICATIONS:
- PhD in bioinformatics, molecular biology, microbiology, or a related field
- Strong experience in (meta)genomics or bioinformatics, preferably antimicrobial resistance or wastewater environment
- Experience in scripting in Python and/or R, use of software for genomic or metagenomic analysis, and data visualization
- Experience with biostatistical approaches is desirable
- Understanding of analytical methods, particularly in molecular microbiology
- Must be able to work in a team environment and interact with a diverse range of colleagues and collaborators
- Strong communication skills as well as good organizational, time management, and problem-solving skills
- Ability to work independently and resourcefully, while interacting effectively with internal and external stakeholders at all levels of the organization
- Able to work within a collaborative setting with others to set clear priorities while managing multiple timelines and objectives
- Evidence of good research productivity
- Strong academic writing potential
HOW TO APPLY:
Candidates applications should include the following:
- A brief cover letter outlining interest in this project, detailing qualifications and/or related experience as well as career goals
- A detailed resumé
- Name and contact information of three references
- An example of your peer-reviewed publications.
- The terms and conditions of employment are covered under the UCalgary and PDAC Collective Agreement. To find out more about postdoctoral scholar program at the University of Calgary visit our Postdocs website.
For full details and application instructions, please visit: https://careers.ucalgary.ca/jobs/15939098-postdoctoral-scholar-in-bioinformatics
We welcome highly motivated candidates with a strong background in bioinformatics, genomics, or related disciplines. Join a dynamic and collaborative research environment in beautiful Calgary, Alberta!
To learn more about postdoctoral scholar opportunities at the University of Calgary, view our Postdoc Careers website.
ABOUT THE UNIVERSITY OF CALGARY:
UCalgary is Canada's entrepreneurial university, located in Canada's most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences and entrepreneurial thinking. It is Canada's leader in the creation of start-ups. Start something today at the University of Calgary. For more information, visit ucalgary.ca.
ABOUT CALGARY, ALBERTA:
Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders' in business, community, philanthropy and volunteerism. Calgarians benefit from the strongest economy in the nation and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America.
The University of Calgary has launched an institution-wide Indigenous Strategy committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do.
POLICIES:
As an equitable and inclusive employer, the University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. In particular, we encourage members of the designated groups (women, Indigenous peoples, persons with disabilities, members of visible/racialized minorities, and diverse sexual orientation and gender identities) to apply. To ensure a fair and equitable assessment, we offer accommodation at any stage during the recruitment process to applicants with disabilities. Questions regarding [diversity] EDI at UCalgary can be sent to the Office of Institutional Commitments (equity[at]ucalgary.ca) and requests for accommodations can be sent to Human Resources (hrhire[at]ucalgary.ca).
#Bioinformatics #Postdoc #Genomics #ComputationalBiology #UCalgary #PostdoctoralFellow
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BACKGROUND
The CHUM is a world-renowned academic medical center recognized for its expertise in clinical research, specialized care, and medical innovation. A leader in precision health, the CHUM is pioneering personalized care based on patients' genetic, environmental, and biological characteristics. This strategic focus enables the CHUM to transform research into concrete solutions that enhance the quality of care.
At the forefront of technical and clinical advancements, the Molecular Diagnostics Laboratory actively contributes to the development of the Quebec Molecular Diagnostics Network (RQDM) and is responsible for the majority of specialized and supra-regional molecular analyses in the province.
As part of our ongoing expansion, we are seeking a Clinical Specialist in Medical Biology, with a focus on molecular diagnostics, particularly next-generation sequencing (NGS). Clinical experience in oncology and/or genetics will be considered a strong asset.
RESPONSIBILITIES
Under the medical direction of the Molecular Biology Laboratory Director and the authority of the Service Chief, the Clinical Specialist in Medical Biology is responsible for interpreting molecular biology test results (with an emphasis on NGS), drafting clinical reports, developing new techniques and panels, and supporting clinical laboratory operations. The specialist acts as an expert advisor to physicians and laboratory professionals, ensures the quality of molecular analyses, and contributes to the development of technical competencies within the team.
The specialist also contributes to the preparation of various documents, including clinical reports, validation and verification studies, and standard operating procedures (SOPs).
- Supervise the execution of molecular biology analyses in the laboratory
- Review and interpret molecular biology test results; write detailed clinical reports
- Develop new testing methods and coordinate validation studies
- Design, monitor, and maintain internal and external quality control programs
- Create and oversee standardization initiatives for lab techniques, processes, and SOPs
- Participate in the training of medical residents, graduate students, medical technologists, and other professionals
- Perform other duties as assigned by the Service Chief or Medical Director
REQUIREMENTS
- Ph.D. in Molecular Biology or a related discipline
- Minimum of two years of postdoctoral training in a molecular biology – related field
- Expertise in molecular hematology, molecular oncology, or molecular genetics is highly desirable (e.g., solid tumors, hereditary cancers, hematologic malignancies)
- Clinical experience in molecular diagnostics and in the interpretation of germline or somatic variants, following current clinical guidelines, is considered a strong asset
- Hands-on experience with PCR, real-time PCR, Sanger sequencing, and next-generation sequencing (NGS) technologies
PREFERENCES
Proficiency in French language is required.
COMPENSATION
Up to $ 120 000 CAD
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I am looking for a PhD student in Computer Science with experience in Machine Learning (ML) to collaborate on a research project focused on identifying Oral Potentially Malignant Diseases (OPMD) using medical imaging. This is a paid opportunity (compensation in the range of a few thousand dollars) and will be conducted in partnership with Albany Medical Center in Albany, NY.
PROJECT OVERVIEW
The goal is to assess how well ML models can identify OPMD from a curated database of medical images. I have already compiled a dataset and need an ML expert to help with model selection, training, and evaluation. This project could lead to co-authorship on a research paper and further opportunities in medical AI.
WHO SHOULD APPLY
- PhD students in Computer Science, AI, or a related field with strong ML expertise.
- Experience with medical imaging, deep learning (CNNs, transformers), and classification models is a plus.
- Interest in interdisciplinary research in medicine and AI.
HOW TO APPLY
If you're interested, please email me at mahmoom4[at]amc.edu with your CV and a brief summary of your ML experience. Let's discuss how we can collaborate!
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BACKGROUND
The Penn State College of Medicine, Department of Molecular and Precision Medicine, in Hershey, PA, is seeking a Researcher to join the Georgakopoulos-Soares lab. The lab focuses on developing and implementing new computational and artificial intelligence methods in genomics and molecular biology. Current projects include the identification of genetic biomarkers for the diagnosis, monitoring and treatment of human diseases and cancer, the characterization of non-B DNA sequences across the tree of life, the development of bioinformatics tools and databases, and the study of regulatory grammar.
REQUIREMENTS
We are seeking a qualified researcher with expertise in computational biology, software engineering and artificial intelligence. This position requires a master's degree or its equivalent, or to be enrolled as an active candidate for a terminal degree in a related field. The candidate should have a strong publication record and be involved in ongoing research projects, have experience with collaborative scientific project execution, as well as a commitment to mentoring and a desire to work in an interactive, diverse, and inclusive research group. Applicants with experience in high performance computing and artificial intelligence are strongly encouraged to apply.
KEY RESPONSIBILITIES
- Collaborate with researchers to analyze and develop computational and machine learning methods and pipelines, evaluating and selecting appropriate approaches for omics research problems.
- Apply mathematical theories and advanced artificial intelligence techniques to answer research questions in bioinformatics and genomics.
- Optimize and extend algorithms, analysis pipelines, and software to enhance efficiency, scalability, and effectiveness in research computing.
- Perform advanced statistical analyses and create high-quality visualizations of research findings.
- Work independently while defining objectives and ensuring quality and timeliness of research projects.
- Author or co-author research papers and present results at scientific meetings and conferences.
- Draft grant proposals based on the candidate's and the lab's research in collaboration with the Principal Investigator.
- Supervise and mentor junior staff, students, or other research personnel.
HOW TO APPLY
Interested candidates should upload a cover letter, CV, and 4-5 relevant publications. In addition, applicants will be asked for the names and contact information of up to three professional references during the interview process.
This is a limited-term non-tenure line position funded for one year from date of hire, with possibility of refunding.
Employment will require successful completion of background check(s) in accordance with university polices.
The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission.
Apply online at https://apptrkr.com/6058214
POLICIES
CAMPUS SECURITY CRIME STATISTICS: For more about safety at Penn State, and to review the Annual Security Report which contains information about crime statistics and other safety and security matters, please go to http://www.police.psu.edu/clery/, which will also provide you with detail on how to request a hard copy of the Annual Security Report.
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Copyright ©2024 Jobelephant.com Inc. All rights reserved.
https://www.jobelephant.com
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BACKGROUND
Michabo.co.uk (https://michabo.co.uk) is an expanding spin-out company from the University of Birmingham. We are leaders in the innovation and application of molecular toxicity data from 'omics technologies to support the hazard assessment of chemicals under European safety legislation. Our mission is to accelerate the world's transition towards safer chemicals without vertebrate animal testing, using molecular toxicity data to identify and characterise exposure-related hazards for regulatory approval.
As interest and confidence in applying metabolomics and transcriptomics technologies to regulatory toxicology grows, so we are growing. We now seek to recruit a skilled Omics Data Scientist, complementing the strengths of our existing team. We succeed because of the strength of our science, our people, and our collaborative approach to working with our clients, who include regulators and chemical companies throughout the UK and Europe, as well as the European Commission. Our core values include fostering teamwork, and earning trust in the approach to our mission through all that we do. We operate hybrid working, with the city of Birmingham, UK, serving as our physical meeting hub.
THE ROLE
A company Scientist role powers the delivery of our projects by conducting and delivering on contract research, assisting in the development of new contract proposals, and contributing to exploratory research in the company's R&D programme. The Scientist works closely with Senior Scientists to conduct investigations and report scientific findings. We provide built-in career progression for Scientists through the learning and development of project planning and management skills, and by specialising in methods continually being improved by our R&D to solve real-world challenges in chemical safety. Our Scientists also co-author research publications.
We seek a proven researcher and team player who speaks our language, the language of 'omics and 'omics data analysis, applied to human or animal biology. Applicants should have a PhD (or equivalent level of expertise) focused on applying metabolomics or transcriptomics to either toxicology, human health/disease or perturbation biology. The Scientist will be capable of performing reproducible computational and/or statistical analyses of 'omics data to address toxicological questions, applying their knowledge of R, Python or equivalent languages. They will review and incorporate insights from relevant scientific literature and databases to enable data analysis decisions and toxicological interpretation.
Applicants should be motivated to apply their skills towards 21st century regulatory toxicology to help transition towards non-animal toxicity testing. Some knowledge of mechanistic or regulatory toxicology is highly desirable, as is experience working outside of academia. We also invite applications from more experienced candidates, for consideration in a more senior role in the company.
TERMS
Full-time, permanent Scientist
LOCATION
Birmingham, UK & hybrid working
COMPENSATION
Starting salary: ca. £37k (dependent on experience) plus performance-related bonus pa
HOW TO APPLY
Interested? If you would like more information regarding the job description and skills specification, please contact jobs[at]michabo.co.uk
If you would like to apply, please send a cover letter outlining why you feel you are suitable for the role and a full CV to jobs[at]michabo.co.uk by 10 April 2025. Please include how you heard about this advert.
DEADLINE
Closing date: 10 April 2025
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The Computational Biology Core within the Institute for Systems Genomics provides essential consulting, data analysis, and data interpretation services to advance research efforts. This role involves collaborating with faculty, post-doctoral fellows, and research staff on a wide array of biological topics, including high-throughput sequencing, analytic approaches, and workflow management. The analyst plays a key role in providing background on current techniques, managing multiple overlapping data analysis projects, providing general HPC user support, and providing regular workshop-based training to the broader community. The analyst will join a small team that supports research at all UConn campuses.
DUTIES & RESPONSIBILITIES
- Support of the HPC resources
- Support users through installing open-source scientific software and troubleshooting user code
- Manage and update shared databases
- Develop curriculum and lead training workshops
- Conduct analysis of high throughput genomic data for the research community
- Triage requests received via Slack, and the e-mail-based help desk
MINIMUM QUALIFICATIONS
- M.A./M.S. in computational or biological sciences
- Experience with analyzing high-throughput sequence data
- Proficiency with Linux
- Comfort interacting with an HPC system
- Strong presentation and communication skills
- Positive attitude and ability to work as part of a team (multi-tasking extraordinaire)
PREFERRED QUALIFICATIONS
- Comfort with R and/or Python programming
- Proficiency with open-source software installation
APPOINTMENT TERMS
This temporary special payroll position requires 40 hours per week, with an hourly rate of $34.00. This short-term role (6 months) – the goal is to transition this position to a long-term staff scientist position for the right candidate.
The position can be fully on-site or hybrid (candidate must reside in the state of CT). This position does not offer sponsorship benefits.
HOW TO APPLY
To apply, please email a resume and cover letter detailing your qualifications to karelyn.lambert[at]gmail.com, with the subject line "Research Technician Application." Screening will begin immediately.
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â €Temporary contract | 36 months | Belvaux Are you passionate about research? So are we! Come and join us
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
Do you want to know more about LIST? Check our website: https://www.list.lu
LIST is offering a fixed-term (3 year) position for an experienced biodiversity data engineer to reinforce its applied research activities on biodiversity. The successful candidate will join the Biodiversity Monitoring and Assessment (BIODIV) research group at LIST that focusses on innovating the way data is sampled in the field to evaluate the spatial and temporal dynamics of living organisms. As a national hub at the interface between the scientific community and decision/policy makers in Luxembourg, the BIODIV group is sampling, collecting and analysing data on various living organisms to assess their changing conservation status and dynamics, as well as developing and making use of technology-based approaches (e.g. bioacoustics, imaging) for data collection and processing.
How will you contribute?
To strengthen our RDI capacities for ongoing projects on biodiversity monitoring and assessment, we are looking for a skilled and highly motivated data engineer with a strong background in biological data management and processing and with a marked interest for the development and use of innovative methods for the acquisition, processing and analysis of field data.
You will be integrated in the BIODIV group where teammates will share their knowledge and know-how with you.
You will be mainly in charge of:
- Participating to RDI projects on biodiversity monitoring and assessment with autonomy and under limited oversight by the group leader or PIs
- Taking responsibility for setting priorities and scheduling work related to data architecture, management and processing across RDI projects in the group
- Contributing to the publication of high-quality research articles in peer-reviewed international journals
- Contributing to the identification of new opportunities for innovation or application
Your specific tasks will focus on:
- Designing and managing a biodiversity database platform centralising various types of monitoring data (including field records, samples, but also images-videos, sounds) collected across freshwater and terrestrial ecosystems in Luxembourg
- Leading the implementation of data architecture, data flows (from field collection to analysis) and data interoperability and exchanges with external systems from other relevant stakeholders in Luxembourg and beyond
- Strongly contributing to the development of innovative software solutions (e.g. modelling approaches, machine learning and AI-driven tools) for the processing and use of such data
- Participating to the development of novel hardware/software solutions for automated biodiversity data acquisition in the field (e.g. bioacoustics, camera trapping)
Is Your profile described below? Are you our future colleague? Apply now!
Education and experience
- Master's degree and 3 years of work experience in a relevant discipline such as data science, computer science, biostatistics, bioengineering science or similar discipline. Education background in other disciplines such as biological or environmental sciences is possible if strong technical skills related to this job are demonstrated.
Skills
MUST HAVE
- Proficiency in programming languages for data engineering such as SQL (preferably PostgreSQL)
- Demonstrated experience with the management of big, diverse and complex biological datasets using dedicated software
- Proven expertise in data architecture, manipulation and visualisation
- Familiar with cloud computing and application software interfaces (APIs)
- Good understanding of statistical methods and knowledge of statistical software and associated programming languages
- Strong work organisation skills and capacity to plan work and establish priorities
- Detail-oriented skills and problem-solving attitude
- Experience with teamwork in an international and multicultural setting
- Full autonomy on the execution of duties not requiring supervision
NICE to HAVE
- Motivation for the preservation of the natural environment
- Knowledge of existing large research infrastructures for biodiversity data
- Hands-on experience with the analysis of biological data using dedicated software or programming languages (e.g. Python, R)
- Experience with GIS applications and their web services
- Knowledge of biodiversity monitoring programmes and good understanding of sampling designs
- Interest for machine learning and Artificial Intelligence (AI) tools and their use in biodiversity data science
- Interest for bioinformatic analyses of large and complex datasets derived from environmental DNA (eDNA) samples
- Experience with collaboration tools like Git (GitHub) and related solutions
- Experience with (or marked interest for) novel technologies and their application to biodiversity sampling and monitoring
- Enthusiasm for flora and fauna in Luxembourg
Language skills
- Good level in both written and spoken English. French or Luxembourgish would be an asset.
Your LIST benefits
- An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
- Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
- Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
- An environment encouraging curiosity, innovation and entrepreneurship in all areas
- Personalized learning programme to foster our staff's soft and technical skills
- Multicultural and international work environment with more than 50 nationalities represented in our workforce
- Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
- Gender-friendly environment with multiple actions to attract, develop and retain women in science
- 32 days' paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
- Flexible working hours, home working policy and access to lunch vouchers
Apply online
Your application must include:
- A motivation letter oriented towards the position and detailing your experience
- A scientific CV with contact details
- List of publications (and patents, if applicable)
- Contact details of 2 references
Please apply ONLINE formally through the HR system (https://vonq.io/3D0lM3n). Applications by email will not be considered.
Application procedure and conditions
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.
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BACKGROUND
Institut Imagine is a leading European research center dedicated to better understanding and treating genetic diseases. Imagine fosters a multidisciplinary and collaborative environment among 28 dynamic research groups by uniquely integrating basic and translational science.
The Imagine Institute is seeking for applications from outstanding Junior Group Leaders in the fields of RNA biology and Epigenomics with a strong interest in biological systems and genetic diseases. This position comes with an internationally competitive start-up package.
POTENTIAL AREAS OF FOCUS INCLUDE
- Epigenetics & Epitranscriptomics: DNA methylation, regulatory regions, and non-coding elements
- RNA Biology
- RNA Therapeutics & Diagnostics
- Gene Editing Technologies: Use CRISPR & ADAR for precise DNA, RNA, and epigenome editing
- mRNA Vaccine & Therapy Development
DESIRED QUALIFICATIONS
- Ph.D. and postdoctoral experience with a strong focus on RNA biology & regulation and/or epigenomics.
- A keen interest in understanding the molecular mechanisms underlying genetic diseases through the lens of RNA biology& regulation and/or epigenomic regulation.
HOW TO APPLY
Applications should be submitted to teamcallapplication[at]institutimagine.org and must include:
- A full CV (including a detailed list of publications)
- Past and current research interests (2 pages)
- Future research proposal (3 pages)
- Recommendation letters (3).
DEADLINE
Applications must be received by February 28th 2025.
Pre-selected candidates will be notified from March 8th 2025 for auditions by the Scientific Advisory Board.
Integration of the new group can be effective from September onwards.
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BACKGROUND
Institut Imagine is a leading European research center dedicated to better understanding and treating genetic diseases. Imagine fosters a multidisciplinary and collaborative environment among 28 dynamic research groups by uniquely integrating basic and translational science.
Institut Imagine is seeking an outstanding Systems and Computational Biology expert to join our team as a Junior Group Leader. This position comes with an internationally competitive start-up package.
KEY COMPETENCIES
- Established expertise in system biology, including skills in causal inference and statistical predictions and/or demonstrated experience developing mechanistic or dynamic models that mimic biological systems, as demonstrated by peer-reviewed publications
- Ability to lead a system biology program, as evidenced by publications and grants
- Ability to collaborate with basic and clinical research teams to develop multidisciplinary project
PREFERRED QUALIFICATIONS
- Ph.D. and postdoctoral experience in a quantitative field such as Systems, Synthetic, or Computational Biology; Bioinformatics; Data Science; Statistics; Applied Mathematics; or a related discipline
- Experience with health applications of computational modeling and AI
- Experience with modern machine-learning libraries and tools, especially in bioinformatics
- Experience with cellular/molecular biophysics
HOW TO APPLY
Applications should be submitted to teamcallapplication[at]institutimagine.org and must include:
- A full CV (including a detailed list of publications)
- Past and current research interests (2 pages)
- Future research proposal (3 pages)
- Recommendation letters (3).
DEADLINE
Applications must be received by February 28th 2025.
Pre-selected candidates will be notified from March 8th 2025 for auditions by the Scientific Advisory Board.
Integration of the new group can be effective from September onwards.
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DESCRIPTION
Located in the heart of Paris on the Necker – Enfants Malades Hospital campus, Institut Imagine and Institut Necker Enfants Malades (INEM) are equipped with cutting-edge core facilities and foster a collaborative environment, uniquely positioning them to bridge research and patient care.
Institut Imagine and INEM seek outstanding Artificial Intelligence (AI) experts to join their teams as tenure-track Junior Group Leaders. These positions focus on applying AI to Biomedical Research, with a strong interest in Genetic Medicine, and offer internationally competitive start-up packages.
Successful candidates will develop an ambitious research program in collaboration with Institut Imagine, INEM, and the PR[AI]RIE AI community, pioneering novel AI approaches to understand, diagnose, and treat Mendelian and complex diseases.
REQUIREMENTS
Candidates should have a strong AI development background in at least one of the following areas:
- Imaging Analysis and Computer Vision
- Multimodal Data Integration
- Therapeutic Target Identification using machine learning and AI approaches
- Disease Pathogenesis Modeling by constructing AI-enhanced models or simulations
- Diagnosis and Treatment Response Modeling
Minimum Job Requirements:
- Ph.D. in Computer Science, Mathematics, Statistics, Data Science, Computational Biology, or a related field.
- Expertise in the theoretical underpinnings, implementation, and biomedical applications of AI methods, as evidenced by peer-reviewed publications.
HOW TO APPLY
Applications should be submitted to teamcallapplication[at]institutimagine.org and must include:
- A full CV (including a detailed list of publications)
- Past and current research interests (2 pages)
- Future research proposal (3 pages)
- Recommendation letters (3).
DEADLINE
Applications must be received by February 28th 2025.
Pre-selected candidates will be notified from March 8th 2025 for auditions by the Scientific Advisory Board.
Integration of the new group can be effective from September onwards.
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DESCRIPTION
Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Reporting to Research Scientists, Data Scientists or the Center Director, as appropriate, Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful https://www.simonsfoundation.org/2021/03/04/computation-opens-new-doors-for-science/. (For more information about careers at the Flatiron Institute, please click https://www.simonsfoundation.org/flatiron/careers.)
RESPONSIBILITIES
Responsibilities include but are not limited to:
- Performing theoretical and computational research
- Developing, implementing and maintaining scientific software
- Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
- Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
- Assisting in student mentorship
- Sharing expertise and providing training and guidance to CCB staff and visitors as needed.
QUALIFICATIONS
Education:
- Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)
Related Skills & Other Requirements:
- Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
- Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
- Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
- Strong oral and written communication, data documentation, and presentation skills
TERMS
FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.
COMPENSATION & BENEFITS
- The full-time annual compensation for this position is $91,000.
- In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.
HOW TO APPLY
Required application materials:
To apply, please submit the following via the application portal:
1. Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
2. Curriculum vitae with publications list and, if relevant, links to software
3. Research statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
4. Two (2) letters of recommendation
To apply, visit: https://apptrkr.com/5963933
DEADLINE
Applications for available positions that begin in 2025 will generally be reviewed beginning February 2025, and will be considered on a rolling basis until the positions are filled. For full consideration, candidates are strongly encouraged to submit their complete application by February 17, 2025.
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BACKGROUND
The South Australian Genomics Centre (SAGC) is a multi-institutional, national genomics and bioinformatics facility that is supported by Bioplatforms Australia (BPA) through the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS). The SAGC has consolidated genomics and bioinformatics expertise in the state, with a group of ~16 genomics and bioinformatics staff working side-by-side to deliver innovative genomics and bioinformatics solutions across all areas of genomics research, including agriculture, healthcare and ecology.
An exciting opportunity now exists for an entry level post-doctoral researcher or experienced MSc-level bioinformatician to join the SAGC bioinformatics team. To flourish in this role, you will need to be able to work across multiple different projects and to possess excellent organisational and time-management skills.
This role is primarily responsible for conducting bioinformatics analyses on a wide variety of client projects with varying levels of complexity. You will have a varied and interesting workload across projects in different biological disciplines.
There are significant opportunities for professional growth and development through exposure to data sets from different genomics technologies. Staff are expected to enable research by leading the development of reproducible, standardised pipelines for genomics data analysis and, where necessary, new methods and pipelines. Your career development will be supported and you will be encouraged to publish your research and to collaborate on major funding applications to NHMRC, ARC or MRFF.
You will also be supported to develop your bioinformatics capabilities; ensuring that the SAGC can remain at the forefront of genomics. It is expected that you will have interest in and develop your capabilities in at least one specialist area of bioinformatics.
ABOUT THE ROLE
Key responsibilities include:
- Develop reproducible analytical workflows with a view to improve internal efficiencies as well as client experiences
- Provide end-to-end bioinformatics analysis support to SAGC clients
- Contribute to/or lead the drafting of reports and publications
ABOUT YOU
The successful candidate will possess the following key attributes:
Essential criteria:
- MSc, PhD, or equivalent experience, in either bioinformatics, computer science, physics, statistics or other relevant discipline
- Have a broad understanding of at least two of the following areas and a significant interest in developing a deep understanding in at least one:
- DevOps: version control: test driven development and continuous integration, containerisation using Docker/Singularity
- Workflow systems: Nextflow
- Visualisation: data visualisation and User Interface/Experience design
- Prior experience with at least one of the following scripting languages: bash, R, Python and Perl
- A highly collaborative person, a strong team player and an excellent communicator
- Ability to work in an organised, methodical way and to manage multiple ongoing projects
- Attention to detail and a desire to understand a project and the intricacies of the data analysis
- Prior experience working in a high-performance computing environment
Desirable Criteria:
- Transcriptomics: bulk RNAseq, scRNAseq, spatial transcriptomics,
- Genomics: variant, haplotype and diversity analysis, genome assembly, metagenomics, epigenetics
- Systems biology: multi-omics data integration, network analysis
- Other Omic's technology: metabolomics, proteomics
- Statistics: linear models, ANOVA, hypothesis testing
- Prior experience working in a client-oriented bioinformatics role
- Prior experience working in a biomedical, agricultural or environmental context
- Experience with programming languages such as C/C++, Go, Rust, Java
- Working in a cloud computing environment
- Linux systems administration
TERMS
As a not-for-profit organisation, SAHMRI employees can access salary packaging options up to $15,900. Salary packaging lets you pay for things like the everyday costs of living with money from your salary before tax. This reduces your taxable income, meaning you could pay less tax and take home more of what you earn. For more information on salary packaging please see the Maxxia website.
This is a Full-Time (2-Year Contract) position.
LOCATION
This position will be based at the South Australian Genomics Centre at the South Australian Health and Medical Research Institute, Adelaide, South Australia.
DEADLINE
Applications close Sunday 23rd February 2025.
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Division: BE-Biological Systems & Engineering
BACKGROUND:
Berkeley Lab's (LBNL, https://www.lbl.gov) Biological Systems and Engineering (BSE, https://biosciences.lbl.gov/bse/) Division has an opening for a Postdoctoral Fellow to join the Quantitative Modeling Group (https://qmm.lbl.gov) led by Héctor García Martín (http://hectorgarciamartin.com) to develop machine learning algorithms (https://www.nature.com/articles/s41467-020-18008-4), mechanistic models (https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011111), data science pipelines, and automated workflows (https://www.nature.com/articles/s41378-022-00357-3) to design cells (https://www.nature.com/articles/s41467-020-17910-1) to produce renewable products (https://www.nature.com/articles/npjsba20169) and combat climate change. You will have the opportunity to design cells to a specification (https://pubs.acs.org/doi/full/10.1021/acssynbio.8b00540), bring synthetic biology (https://vimeo.com/265198586) to its full potential, and enable self-driving labs (https://www.nature.com/articles/s42256-023-00618-4).
In this exciting role, you will work as part of a collaborative team to integrate microbial phenotypic data (e.g. fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models able to predict and explain the outcomes of bioengineering interventions. You will work closely with an interdisciplinary team of bench scientists, automation engineers, and software developers in devising methods for high-throughput data collection and analysis for feedback into experimental design, as part of the Agile BioFoundry (https://agilebiofoundry.org/home/about/) and the Joint BioEnergy Institute (https://www.jbei.org).
This position has an anticipated start date of March 3, 2025.
WHAT YOU WILL DO:
- Integrate and analyze data.
- Develop quantitative predictive models of cell metabolism.
- Integrate transcriptomic, proteomic, and metabolomic data into quantitative models.
- Use Monte Carlo approaches to model biological system behavior.
- Use machine-learning and data-mining approaches to guide the synthetic biology process.
- Develop new machine-learning algorithms.
- Combine machine learning and mechanistic approaches.
- Develop and optimize code and algorithms for predictive models.
- Combine algorithms and automation to enable self-driving labs and automate the scientific process.
- Interact continuously with experimentalists and automation scientists to guide and propose new experiments and use available data to its full potential.
- Interact continuously with software engineers to provide code using best practices.
- Resolve problems that may affect the achievement of research objectives and deadlines.
- Prepare research results for publication and present at scientific and internal meetings.
WHAT IS REQUIRED:
- A recent PhD (within the last 1-2 years) in Systems Biology, Bioengineering, Computational Biology, Bioinformatics, Applied Mathematics, Physics, Computer Science, Electrical Engineering, or a closely related discipline.
- Demonstrated experience in Python or other major programming languages.
- Proven experience in Linux including file systems, shell, hardware/software monitoring, etc.
- Strong mathematical background and analytical skills.
- Excellent oral and written communication skills, including the ability to organize technical/scientific information, publish in top journals as a first author, and present at conferences.
- Strong interpersonal skills, with the ability to collaborate effectively with a diverse, interdisciplinary research team.
DESIRED QUALIFICATIONS:
- Experience in metabolic flux analysis.
- Experience on experimental lab work.
- Knowledge of microbiology and microbial metabolism.
- Strong interest in microbiology and bacterial metabolism.
NOTES:
- For full consideration, please apply with a curriculum vitae (CV) or resume and a cover letter describing your interest by February 15, 2025.
- This is a full time, exempt from overtime pay (monthly paid), 2 year (benefits eligible), Postdoctoral Fellow appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience.
- The monthly salary range for this position is $7,828 - $8,742 and is expected to start at $7,828 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
- As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
- This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
- This position will be performed onsite at the Emeryville Station East (ESE) Operations Center located in Building 978 at 5885 Hollis Street Emeryville, CA 94608.
HOW TO APPLY:
Apply directly online at http://50.73.55.13/counter.php?id=296608 and follow the on-line instructions to complete the application process.
LEARN ABOUT US:
Berkeley Lab (LBNL, http://www.lbl.gov) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 16 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab - Click Here (https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html).
POLICIES:
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments.
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
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We are looking for a postdoctoral researcher to engineer enzymes using state-of-the-art experimental and computational approaches for an industrial partnership with IFF.
IFF-DTU Collaboration: Pioneering the Future of Biotechnology
International Flavors & Fragrances Inc. (IFF), a global leader in taste, scent, nutrition & bioscience and the Technical University of Denmark (DTU) have initiated a strategic partnership and created a joint research program with PhD students and postdocs together with researchers at DTU Bioengineering, DTU Biosustain and IFF Scent.
Research Outline: Advanced Industrial Enzyme Technology for more sustainable fragrances
The research focus of the collaboration is advanced industrial enzyme technology. Our goal is to deliver lower impact processes and innovative products built on circular attributes, reducing our dependence on volatile supply chains. The research program will create new fundamental knowledge on the production, action, kinetics, and robustness of specific enzymes, providing new sustainable bio-based processes for an expanded, sustainable scent & taste product portfolio based on new scientific insights.
Join an international multi-disciplinary program:
Building on the mutual synergies between DTU and IFF, you will work in an international multi-disciplinary program involving scientific areas of enzyme technology, chemistry, molecular biology, bioinformatics, analytical chemistry and chemical engineering. The program supports not only strong research, but also education at DTU of future global industrial biotech leaders, offering courses in sustainability management, entrepreneurship, technology change, and economics.
Research Focus of the Postdoc:
As part of this collaboration, DTU Biosustain is looking for a postdoctoral researcher that will be designing new enzymes for developing more sustainable bioprocesses for the biosynthesis of natural compounds. We are looking for someone who is independent in planning and designing experiments, who thrives within an interdisciplinary environment at a world-class university, and who is highly motivated for the development of bioprocesses using enzyme-based technologies together with an industrial partner. The project is interdisciplinary, and it involves bioinformatics, enzyme engineering, directed evolution, biocatalysis, analytical chemistry and machine learning.
RESPONSIBILITIES:
- Perform enzyme engineering and directed evolution in model bacteria and yeast.
- Develop high-throughput assays and analytical methods for enzyme screening.
- Optimize biocatalytic transformations using single and multiple enzymes.
- Purify and characterize enzyme variants using biophysical and biochemical approaches.
- Report research results in peer-review scientific publications and international conferences.
- Supervise PhD students and collaborate with other researchers across related projects.
QUALIFICATIONS:
- PhD in biotechnology, biochemistry, biology, chemistry, biophysics, or related area.
- Experience with molecular biology, enzyme engineering and assay development.
- Experience with patent and paper writing as well as teaching.
- Excellent English proficiency in written and oral form.
- Excellent communication skills for working within an international research team.
- Strong analytical skills and ability to work independently and with an interdisciplinary team.
Preferred qualifications but not mandatory:
- A strong publication record in peer-review scientific journals and patents.
- Bioinformatics for the evolutionary analysis of enzyme families.
- Basic coding skills in Python or other programing language.
- Experience with visualization and molecular modelling of protein structure and ligands: Rosetta, Schrödinger, AlphaFold2, PyMOL, Chimera, etc.
- Interest in applying machine learning methods to improve enzyme function.
- Interest in collaborating with industrial partner to make a positive impact on planetary health.
As a formal qualification, you must hold a PhD degree (or equivalent).
COMPENSATION:
We offer:
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment:
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 3 years. The preferred starting date is 1 April 2025, or according to our mutual agreement. The position is full time.
You can read more about career paths at DTU here: http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths
FURTHER INFORMATION:
Further information may be obtained from Carlos Acevedo-Rocha at cargac[at]biosustain.dtu.dk - Google Scholar profile: https://scholar.google.de/citations?user=yZDS88IAAAAJ&hl=en
You can read more about DTU Biosustain at https://www.biosustain.dtu.dk
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark: https://www.dtu.dk/english/about/job-and-career/moving-to-denmark
HOW TO APPLY:
Your complete online application must be submitted no later than 15 January 2025 (23:59 Danish time).
Apply at postdoc in enzyme design for industrial collaboration:
https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/4490/?utm_medium=jobshare
The hiring committee consists of representatives from IFF and DTU and the first round of interviews will be held from 27-29 January 2025.
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- CV
- Academic Diplomas (MSc/PhD – in English)
- List of publications
Applications received after the deadline will not be considered.
ABOUT US:
DTU Biosustain is an interdisciplinary research centre that develops new knowledge and technology to support the production of biochemicals, natural products and microbial foods using fermentation processes based on microbial hosts or enzymatic processes.
Technology for people:
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
POLICIES:
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.
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BACKGROUND
The Department of Bioinformatics and Genomics, part of the College of Computing and Informatics at the University of North Carolina at Charlotte, invites applications for a tenure-track Assistant Professor position beginning Fall 2025. Located in the Bioinformatics Building on the UNC Charlotte Campus, the Bioinformatics and Genomics Department is a research-intensive unit with a Ph.D. program in Bioinformatics and Computational Biology and a M.S. in Bioinformatics. Visit https://cci.charlotte.edu/departments/department-of-bioinformatics-and-genomics/ for more information. Faculty in this Department support an undergraduate Bioinformatics Minor and Bioinformatics Concentrations within the BS and BA degrees in Computer Science. The Department has state-of-the-art laboratories, several high-performance computer clusters, and has dedicated space for postdoctoral fellows, graduate students, and staff.
RESPONSIBILITIES
The successful candidate will be expected to develop and maintain an externally funded research program involving Ph.D., Masters, and undergraduate students and to teach graduate and undergraduate courses.
REQUIREMENTS
Applicants for this position must hold a Ph.D. in the biological, computational, or related sciences. They should demonstrate excellence in research via a strong publication record, the potential to secure funding, and a commitment to education. We welcome applications from qualified researchers working in any area of bioinformatics whose research will complement and expand current department strengths. Example research areas include but are not limited to: human, model, or non-model organism genomics, precision medicine, statistical genetics, cloud computing approaches in bioinformatics, computational plant genetics, microbiome analysis, phylogenomics, or computational/theoretical ecology.
TERMS
Permanent - Full-time
LOCATION
Charlotte, NC, USA
Charlotte is one of the top five cities to live in the U.S. according to 2024-2025 rankings by U.S. News & World Report. Charlotte offers an ideal combination of rapid economic growth, cultural vibrancy, and Southern charm. Home to 18 Fortune 500 and 1000 companies, the city boasts a flourishing economy led by thriving financial and healthcare sectors. Charlotte provides residents with temperate weather, affordability, and a rich cultural scene, including museums, parks, professional sports teams, and a fast-growing brewery industry. Charlotte is a welcoming community and has a high quality of life.
HOW TO APPLY
Applications must be made electronically at https://jobs.charlotte.edu (position #001841) and must include: a cover letter, CV, contact information for at least 3 references, a statement of research interests (max 5 pages), a statement of teaching philosophy (max 2 pages), and PDFs of 3 publications. Please highlight potential contributions to UNC Charlotte within the statement of research interests.
For questions about this posting or the application, please contact Dr. Anthony Fodor (afodor[at]charlotte.edu).
DEADLINE
Review of applications will begin on January 13, 2025
POLICY
The University of North Carolina at Charlotte is an Affirmative Action/Equal Opportunity Employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained. Women, minorities, veterans and individuals with disabilities are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability, gender identity or sexual orientation. The University of North Carolina at Charlotte maintains an Affirmative Action Plan prepared in accordance with Executive Order 11246 and the Consent Decree.
The candidate chosen for this position will be required to provide an official transcript of their highest earned degree and submit to a criminal background check.
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