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Jobs Posted on the Whova Community Board of Winter QBio Conference 2024

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Associate Program Officer
Paul G. Allen Frontiers Group
Paul G. Allen Frontiers Group
Postdoctoral Fellow in Mathematical Oncology
Beckman Research Institute, City of Hope
Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we’re changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.

We have a Postdoctoral Fellowship position available in Dr. Russell Rockne’s multidisciplinary research team at City of Hope Comprehensive Cancer. For more information on Dr. Rockne’s research, please visit here.

The Division of Mathematical Oncology and Computational Systems Biology at the Department of Computational and Quantitative Medicine aims to apply mathematics, physics, and evolution-based research to clinical care in oncology. We are a dynamic, diverse group dedicated to advancing mathematical and computational methods, with a focus on translating our findings to positively impact patient care at City of Hope.

As a successful candidate, you will:

Work independently and in interdisciplinary teams for translational research.
Present findings at Division meetings and project-specific subgroups regularly.
Showcase research at national and international conferences spanning mathematics, biology, and clinical society meetings.
Adapt existing mathematical models or develop new ones for problem-solving.
Program and write codes for data processing and solving nonlinear equations.
Learn enough biology to engage with hematology experts.
Mentor students

Your qualifications should include:

Ph.D. in Applied Mathematics, Statistics, Physics, Computer Science, Engineering or related discipline

Experience with genome sequencing data (ex. DNA, RNA, ATAC seq)

Experience with stochastic dynamical systems and probability theory

Experience or familiarity with hematopoiesis or hematologic malignancies preferred
Post doc in AI + Optogenetics
I have multiple openings for post docs in my lab at UCSB ranging in topics from the use of novel, cellular optogenetic tools to dissect cell fate decisions, to developing ultra high-throughput engineering strategies for constructing novel, photoswitchable proteins. Of note, we recently received a very large grant from the army to build a fully robotic screening and synthetic biology foundry. This is a very unique opportunity to combine automation, AI and cutting edge tools to be applied to both microbial engineering, mammalian cell biology, and human disease. Not to mention, our lab is located in Santa Barbara, which is basically the Ko Olina of California. Please don’t hesitate to reach out.
Postdoctoral Position in Developmental Systems Biology
Northwestern University School of Medicine
The Özbudak Lab is looking for a postdoctoral fellow interested in combining multidisciplinary approaches to discover biophysical mechanisms governing spatiotemporal pattern formation during embryonic development.

Embryos develop spatiotemporal patterns by encoding and interpreting biological signals in real time. Despite unavoidable fluctuations in gene expression, embryonic development is robust and reproducible, which necessitates several mechanisms buffering stochastic gene expression. A striking example of robust spatiotemporal patterning is the rhythmic segmentation of somites, which are precursors of the vertebral column. Segmentation of somites is controlled by: 1) oscillatory expression of the vertebrate segmentation clock genes, 2) short-distance Notch signaling, 3) long-distance Fgf, Wnt, and Retinoic Acid signaling gradients, 4) a network of transcription factors integrating outputs of the segmentation clock and the signaling pathways, and 5) cytoskeletal and biomechanical processes executing physical formation of segment boundaries. Errors in this regulatory cascade result in various birth defects, including congenital scoliosis. We combine single-cell microscopy measurements, time-resolved perturbation experiments, biophysical modeling, and computational simulations to decipher the mechanism underlying robust spatiotemporal pattern formation and cell fate determination.

Relevant publications: Nature 2021 589:431-436; Nature 2023 613:153-159.

Interested candidate must have a PhD and have a strong record of accomplishments and experience in:
1- Microscopy and image analysis; OR
2- Biomechanics and biophysics; OR

We are looking for a colleague who is highly motivated and independent. Please send a cover letter detailing your past research accomplishments and future research goals, and your CV by email to:
Link: None
Faculty - all levels
Oregon Health &Science University
The Center for Biomedical Data Science (CBDS) at the Knight Cancer Institute (KCI) at Oregon Health and Science University (OHSU) is searching for multiple tenured or tenure-track faculty positions at all ranks (Assistant Professor, Associate Professor, and/or Professor) in the area of Biomedical Data Science. Faculty will be members of CBDS with primary tenure home in the Division of Oncological Sciences (DOS) at KCI. A secondary appointment in a different unit at OHSU is possible depending on the candidate’s discipline and research focus.

The newly founded CBDS, as a nexus for research in data science at OHSU, is dedicated to advancing precision health in general, and precision early cancer detection and therapies in particular, by analyzing large, complex, multi-modal multi-scale data through the development and implementation of novel computational analytical tools and methods.

To serve these goals, CBDS seeks interdisciplinary scholars whose work spans diverse areas, including but not limited to: machine learning, computer vision, natural language processing, AI-enabled health, computational biology, systems biology, bioinformatics, biostatistics, dynamic modeling, responsible and interpretable AI, multi-scale multi-modal data integration, and data analytics and visualization.
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