DescriptionUniversity of Colorado School of MedicinePost-Doctoral Fellow
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Exemptions vary by campus location/department.Campus/Unit-Specific Exemptions:
Anschutz Campus – Exemptions are allowed for medical or religious reasons.Denver Campus - Exemptions are allowed for medical, religious, or personal reasons.Consolidated/Central Services Administration – Will follow Anschutz policy on exemptions.
The University of Colorado Denver seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds
A full-time POSTDOCTORAL POSITION for a PhD, or MD/PhD is available in the laboratory of Fan Zhang, PhD, Assistant Professor of Department of Medicine in the Division of Rheumatology and the Center for Health AI at the University of Colorado School of Medicine. The Zhang laboratory https://fanzhanglab.org/ is focused on developing and using statistical machine learning methods, single-cell multi-omics, and systems immunology to study inflammatory diseases. Dr. Zhang is also an Investigator involved in the NIH funded Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus (AMP RA/SLE) Consortium.
Job Responsibilities: The successful candidate will work on an established project focusing on analyzing newly generated large-scale single-cell mass cytometry (CyTOF) (~20 millions single cells) and single-cell RNA-seq datasets from hundreds of human patients with at-risk rheumatoid arthritis (RA), established RA, and SLE through ongoing collaborative efforts. Besides analyzing and integrating primary single-cell multi-omics data, the candidate will be in an outstanding position to develop computational and statistical tools to solve disease-driven computational problems, e.g. how to associate and integrate CyTOF with single-cell RNA-seq from the same patients, how to more accurately identify pathogenic features that correlate with disease progression from our longitudinal single-cell data, identify which immune cell phenotypes migrate from blood into inflamed tissue, how to associate serology and clinical features with cellular and molecular profiles, etc. The successful candidate will have the opportunity to make impactful contributions in a fast-paced translational research environment at the cutting-edge of computational biology, single-cell multi-omics, and novel disease-driven immunological findings. The candidate will also have the opportunity to collaborate with researchers in the Division of Rheumatology at CU and also other research groups involved in the AMP RA/SLE consortium.
Salary and Benefits:
Salary will meet the NIH Postdoctoral Trainees and Fellows stipend level and will range from $53,760 - $70,000 depending on years of experience. More information on stipend levels can be found at https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-049.html.
The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.
The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
Review of applications will begin 2022-01-03 and will continue until position is filled.
The University of Colorado offers a full benefits package. Information on University benefits programs, including eligibility, is located at Employee Services
.University of Colorado Denver | Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background checks for all new employees prior to their employment.The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work. Alternative formats of this ad are available upon request for persons with disabilities.Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.Benefits: https://www.cu.edu/employee-services/benefits
.Total Compensation Calculator: https://www.cu.edu/employee-services/total-compensation
Diversity and Equity:Please click here for information on disability accommodations: https://www1.ucdenver.edu/offices/human-resources/employee-relations-performance/ada-compliance
Office of Equity: https://www1.ucdenver.edu/offices/equity
The University of Colorado Denver | Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities and all veterans. The University of Colorado is committed to diversity and equality in education and employment.
Required education/experience/skills (minimum qualifications):
- PhD, or MD/PhD (or graduate soon) in the field of computational biology, systems biology, biostatistics or bioinformatics, statistical genomics, computer science, or other quantitative biomedical sciences
- Fluent in R or Python, familiar with working in Linux and bioinformatics reproducibility tools
Applicants must meet minimum qualifications at the time of hire.
- A strong background in at least one of the fields of machine learning, statistical modeling, systems biology, and high-dimensional sequencing data analysis
- Programming experience (e.g. R or Python) in solving specific biological problems by implementing machine learning methods, including standard dimensionality reduction methods (e.g. principal component analysis, matrix factorization, manifold learning), classical generalized linear mixed model (GLMM, e.g. lme4), standard statistical tests (e.g. ANOVA, likelihood ratio test), canonical correlation analysis, and deep learning (e.g. variational autoencoder, Bayesian deep learning)
- Familiar with standard single-cell RNA-seq or other single-cell omics data analysis pipeline, including quality control, dimensional reduction and clustering, batch effect correction, etc
- Passion for developing novel analytical and computational methods, such as single-cell multimodal integration for clinical samples
- A track record of scientific productivity and paper publication
- Ability to thrive in a dynamic research environment and work independently and collaboratively as part of an interdisciplinary scientific team
- Ideal candidates with demonstrated experience in any of the following areas will be given priority: CyTOF or single cell transcriptomic data analysis, multi-omics single cell data integration, traditional bulk RNA-seq data analysis, or development of statistical methods for genomics data modeling
Required application materials:
Cover letter which specifically addresses the job requirements and outlines qualifications (limited to one page)Curriculum vitaeA brief statement of research interests (limited to two pages) 2-3 references with name, email, daytime telephone number, and addressLinks to 1-2 your best papers if applicableLinks to 1-2 your source code repositories or code examples if applicable Job Category:
Dec 17, 2021Unposting Date: