Computational Biomedicine Faculty
Los Angeles, California
Cedars-Sinai is a hub for biomedical research and a training center for future physicians and other healthcare professionals. By joining us in an academic role, you’ll be a part of formulating future ideas for discovery and then translating those discoveries into cures for the benefit and health of the Los Angeles community.
- Full-time & Per-Diem
- Level: Mid to Senior
- Travel: Minimal (if any)
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What makes a successful Computational Biomedicine Faculty at Cedars-Sinai? Check out the traits we’re looking for and see if you have the right mix.
Discovery is central to Cedars-Sinai’s mission. Our laboratories and clinics generate ideas, therapies, devices, and systems that contribute to biomedical progress around the world. Cedars-Sinai’s investigators push the frontiers of biomedicine with studies in cardiac care, cancer, digestive health, the neurosciences, women’s health, and more. Cedars-Sinai’s robust academic enterprise shapes the experts who will help redefine medicine for the next generation.
ResponsibilitiesRequisition # 22000185
Applications are invited for multiple full-time Biomedical Data Science Faculty positions at the Assistant or Associate Professor level.
These positions will be housed in the new Department of Computational Biomedicine and Innovation Center, focused on single cell ‘omics and precision medicine at Cedars-Sinai Medical Center (CSMC). The Department of Computational Biomedicine (CBM) was recently established to develop, evaluate, and apply cutting-edge computational and statistical methods and software for the analysis of biomedical and clinical data. The Innovation Center has been established to integrate translational and computational research with clinical data linked to genomic, epigenetic, transcriptomic, proteomic, metabolomic, and imaging data with spatial and temporal information to enable fully collaborative, large-scale efforts for precision molecular profiling at the single-cell level and high-throughput molecular screening in drug response and experimental perturbation platforms. We are seeking faculty with computational and statistical expertise to join this initiative and lead efforts in artificial intelligence, bioinformatics, data analytics, and data integration for the conversion of multi-omics data to knowledge for application of precision science to the definition of individualized disease phenotypes, diagnostics, and therapeutics.
About The Opportunity:
Data science faculty are expected to build a collegial and collaborative research program that develops and incorporates new strategies for leveraging multi-omics data as well as other complex clinical and biomedical data sets for translational research that transcends traditional research boundaries to develop personalized diagnostics and individualized preventive and therapeutic regimens. Faculty will be expected to (i) conduct independent, extramurally funded research in their area of medicine, (ii) establish collaborations that amplify the work of other researchers who would benefit from data science approaches within the context of single cell and high throughput screening, and (iii) teach in the graduate program and mentor trainees.
The successful candidate will need a track record of scientific leadership and collaboration, peer-reviewed research and grant funding commensurate with rank, a strong publication history, excellent interpersonal skills, and the ability to thrive in a multi-disciplinary clinical research environment. Successful candidates at faculty rank commensurate with experience will be afforded an attractive salary package with great career development opportunities and team development.
Interested candidates should send their curriculum vitae, names and contact information for five references, and a cover letter describing their career goals and research experience to: Dr. Jason H. Moore, Chair, Department of Computational Biomedicine c/o: Academic.Recruiting@cshs.org
- Applicants must have an MD, PhD, or equivalent degree in Computer Science, Mathematics, Data Science, Computational Biology, Bioinformatics or Biostatistics, with strong quantitative training, or other closely related field.
- Proven track record of scientific leadership and collaboration, peer-reviewed research and grant funding commensurate with rank, a strong publication history, excellent interpersonal skills, and the ability to thrive in a multi-disciplinary clinical research environment.
- Working Title: Computational Biomedicine Faculty
- Department: Computational BioMedicine
- Business Entity: Academic / Research
- City: Los Angeles
- Job Category: Academic/Research
- Job Specialty: Faculty
- Position Type: Full-time
Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at Applicant_Accommodation@cshs.org and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
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