Virginia BME has postdoctoral research openings attached to some of our most exciting new initiatives. Position descriptions and application information for these training opportunities are below. This is not a complete list of postdoctoral positions in BME labs, but rather a list that may be of special interest to attendees at the BMES 2018 Annual Meeting in Atlanta. Search email@example.com for a comprehensive list.
Mentor Kevin Janes PhD: Develop and apply multidisciplinary experimental and computational approaches to cancer systems biology.
Mentor Kristen Naegle PhD: The new postdoctoral team member will lead a funded project on developing an algorithm to predict kinase activities from phosphoproteomic data.
Mentor Jeff Holmes MD PhD and Jeff Saucerman PhD: Spearhead the development, integration, and validation of signaling and agent-based models of post-infarction healing and fibrosis.
Mentor Don Griffin: Applying a novel immune modulatory injectable hydrogel to wound healing and scar regeneration models.
Mentor Gustavo Rohde PhD: Design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and bioinformatics.
With support from three NCI-funded grants (R01-CA194470, U01-CA215794-A1, R01-CA214718-A1), the Cell-Signaling Bioanalysis Laboratory in the Department of Biomedical Engineering at the University of Virginia is making available one postdoctoral fellowship in the area of cancer systems biology. Open projects include:
- Laser-capture microdissection, stochastic profiling, and computational analysis of a genetically engineered mouse model of glioma (Proc. Natl. Acad. Sci. 111:E4214-23 , Proc. Natl.Acad. Sci. 111, E626-635 )—collaboration with Dr. Hui Zong, Department of Microbiology,Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA
- Systems-level modeling and analysis of incompletely penetrant oncophenotypes downstream of ErbB receptor tyrosine kinase activation in breast cancer—collaboration with Dr. Fabian Theis, Institute for Computational Biology, Helmholtz Center, Munich, Germany
- Molecular-genetic analyses of growth differentiation factor-11 misregulation in triple-negative breast cancer (Nat. Cell Biol. 16, 345-356 )—collaboration with Dr. Kristen Atkins, Department of Pathology, University of Virginia, Charlottesville, VA
We welcome recent or forthcoming Ph.D. graduates with a strong background in bioengineering quantitative molecular biology, cancer biology, or a related discipline with an eagerness to develop and apply multidisciplinary experimental and computational approaches to cancer systems biology. The ideal start date is before January 2018 but can be flexible depending upon the circumstances.
The University of Virginia is a unique scientific institution where high-impact research can be done in an intimate and collegial environment. The Janes Lab is an ambitious and highly interactive eight-person group located centrally at the University of Virginia Health Sciences Center. Postdoctoral Fellows work side-by-side with the PI and are given extensive guidance on scientific communication, technical writing, information design, and mentorship. Students and fellows have published in top journals, won competitive national fellowships and awards, and obtained follow-on positions in academia and industry. Postdoctoral fellows for the current position will also gain access to the NCIorganized Cancer Systems Biology Consortium (http://csbconsortium.org/), which supports junior investigators through transition to the next step in their career.
For more information about the Janes Lab, please visit http://bme.virginia.edu/janes/. Interested applicants should email their CV and a list of three references to firstname.lastname@example.org. Underrepresented candidates are especially encouraged to apply.
The Department of Biomedical Engineering at the University of Virginia is seeking a Research Associate in Dr. Kristen Naegle's laboratory with expertise in computational biology. The new postdoctoral team member will lead a funded project on developing an algorithm to predict kinase activities from phosphoproteomic data. It will involve understanding the relationship between kinases and their substrates and knowledge in network and statistical theory. Additionally, this work will involve collaboration with oncologists and collaborators across the country. This work is funded by an R21 award from the NCI for the Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management.
A Ph.D. degree in Biomedical Engineering or a closely related discipline by the start date is required. Candidates must have a strong background in computational biology. Additionally, an ideal candidate would have previous experience in at least two of the following skillsets: Bayesian statistics, graph theory, algorithm development, cancer, and phosphorylation. This is a one-year appointment; however, appointment may be renewed contingent upon available funding and satisfactory performance. To apply, visit http://jobs.virginia.edu and search on Posting Number 0624068. Complete a Candidate Profile online and attach a cover letter, curriculum vitae, and contact information for three references. The position will remain open to applications until filled.
For questions about the positions or lab, please contact Kristen Naegle at email@example.com. The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are encouraged to apply. jobs.virginia.edu/applicants/Central?quickFind=85525. Posting # 0624068.
Mentors: Jeff Holmes MD PhD and Jeff Saucerman PhD, Joint Postdoctoral Position with the Cardiac Systems Biology Lab & Cardiac Biomechanics Group
The University of Virginia’s Cardiac Systems Biology Lab, directed by Dr. Jeff Saucerman, and Cardiac Biomechanics Group, directed by Dr. Jeff Holmes, seek a Postdoctoral Research Associate to develop and test computational models of cardiac fibrosis. We are integrating network models of intracellular signaling with agent-based models of inflammation and scar formation to design novel pharmacologic interventions that provide spatial and temporal control over cardiac fibrosis. The Research Associate will spearhead the development, integration, and validation of signaling and agent-based models of post-infarction healing and fibrosis.
Candidates must hold a PhD in Biomedical Engineering, Bioengineering, or a related field by the start date, and must have extensive experience with computational modeling. Candidates must also have good communication skills and the ability to work both independently and as part of a large collaborative team. Successful applicants will have performed computational modeling studies that resulted in lead-author publications in systems biology, bioinformatics, or biomechanics journals. Prior experience in Java/Python/MATLAB programming is preferred, as is experience with modeling of biological networks, biochemical reaction rate modeling, agent-based modeling, and/or finite-element modeling. Experience with fibroblast cell culture, histology, or other experimental techniques relevant to cardiac fibrosis would be beneficial but is not required.
Interested applicants should apply for Posting Number 0621445 at https://jobs.virginia.edu, or contact Dr. Saucerman (firstname.lastname@example.org) or Dr. Holmes (email@example.com). The position will remain open until filled. For a description of the labs’ overall research interests, visit http://bme.virginia.edu/saucerman/ and http://bme.virginia.edu/holmes/. jobs.virginia.edu/applicants/Central?quickFind=82464.
The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are encouraged to apply
The Beirne B. Carter Immunology Center and the Department of Biomedical and Chemical Engineering at the University of Virginia seeks a postdoctoral Research Associate to work in the laboratories of Dr. Sarah Ewald and Dr. Donald Griffin. The successful applicant will bridge both labs, applying a novel immune modulatory injectable hydrogel to wound healing and scar regeneration models. The goal of this project is to identify immune modulatory signals that can guide scar-free healing based on the DAMP/PAMP principle of innate immune response generation. The chosen applicant will work closely with biomaterial engineers with the goal of applying these findings toward next generation therapeutics. This position is funded by the UVa Fibrosis Initiative Program designed to foster cross-field collaborations to address outstanding questions in fibrosis biology.
Candidates must have an M.D. and/or a Ph.D. degree in hand by the start date and have demonstrated expertise in cellular or molecular immunology, cell signaling, biochemistry, molecular biology or a related field. A strong interest or background in technology development, animal models of disease, immunohistochemistry and/or flow cytometry is desirable. The individual should be self-motivated, have developed skills in team work, written and oral communication, as well as the design and analysis of experimental questions.
Applicants should complete a candidate profile through the Jobs@ website and provide a cover letter, CV, statement of research interest, and a list of three references. To apply visit jobs.virginia.edu and search for posting #0622190. Job Posting #0622190. For more information: Don Griffin, firstname.lastname@example.org and Sarah Ewald, email@example.com
The Department of Biomedical Engineering at the University of Virginia seeks multiple Research Associates to work in the laboratory of Dr. Gustavo Rohde to perform research on computational predictive modeling, and image and signal analysis with applications to biomedical imaging, cancer detection, signal analysis and others. The Research Associates will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and bioinformatics.
Candidates must hold a PhD in Biomedical Engineering, Electrical and Computer Engineering, Computer Science, or a closely related discipline by the start date. Candidates must also show evidence of research productivity (e.g., papers, patents, presentations, etc.), and have the ability to implement computer algorithms. To apply, visit https://jobs.virginia.edu and search on Posting Number 0623483. Complete a candidate profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. The position will remain open until filled.
With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. jobs.virginia.edu/applicants/Central?quickFind=84835. Posting #0623483.