Job Description
The Swanson Lab at Cedars-Sinai Medical Center, Department of Neurosurgery is looking for a Postdoctoral Scientist to join the team!
Are you ready to be a part of breakthrough research?
Mathematical neuro-oncology is an exciting interdisciplinary field incorporating applied mathematics, artificial intelligence, clinical oncology, cancer biology, radiology, pathology and informatics. This field represents a major new way of thinking in the generation of practical clinical tools to benefit people diagnosed with brain tumors.
Kristin R. Swanson, Ph.D., and her research team in the Mathematical Neuro-Oncology Lab at Cedars-Sinai are at the forefront of this field developing numerous models of glioma tumors. Dr. Swanson and her team are finding ways to make these models specific for predicting and simulating individualized tumor behavior under different treatment scenarios. Dr. Swanson's research team's current projects focus on growing and harnessing these resources to predict patient-specific tumor growth, find patient-specific markers of tumor progression and identify predictors of response to therapy in individuals.
Possible research focuses include:
Model implementation and comparison with experimental and/or clinical data
Determining the impact of tumor location on outcomes
Quantifying extent of tumor cell invasion and proliferation in individual patients
Understanding how tumor processes manifest on MRI
Contributing ideas for database development/data management.
The ideal candidate should have a strong mathematical/computational background with experience in biological applications. Experience with the analysis of omics, imaging, clinical and other biomedical data is desired. Experience with computer programming is strongly preferred (R, Python and/or MatLab), while familiarity with computational methods for solving partial differential equations would also be beneficial. The candidate should have experience working in an interdisciplinary environment with the ability to present technical results to audiences from different disciplines and backgrounds. The candidate will be expected to contribute to achieving research grant goals and objectives as well as securing new sources of funding (not required to generate independent funding). Depending on experience, the candidate may supervise junior scientists, engineers or technicians on assigned work, mentor/train staff in development of technical, project development skills, as well as provide input into staffing of overall project teams. See our website to learn more about the developing field of Mathematical Neuro-Oncology http://MathematicalNeuroOncology.org.
Working independently but in close cooperation with the Principal Investigator, Dr. Kristin Swanson, and other Research Scientists, the Postdoctoral Scientist will perform routine and complex mathematical modeling, machine learning, AI, computational, and statistical procedures to answer a variety of questions focused on direct clinical applications of mathematical modeling.
Primary Job Duties and Responsibilities:
May assist in the preparation of grant proposals, but is not responsible for generating grant funds.
May participate in publications and presentations as author or co-author.
Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator.
Analyzes interpret, summarizes, and compiles data.
Operates and maintains equipment and instruments.
May observe MD-patient or MD-human research subject interactions as they pertain directly to research being performed.
Qualifications
Education:
Doctorate (MD, PhD, VMD, or DDS) in the area directly related to the field of research specialization.
Experience and Skills:
Acquires technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment.
Works independently on research projects designed by a mentor (typically the PI) within area of specialization.
Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, analysis, operation, and maintenance of specialized equipment.
Knowledge of safety standards and maintenance of specialized equipment.
About Us
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.
About the Team
Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.
Req ID : 14436
Working Title : Postdoctoral Scientist - Swanson Lab - Department of Neurosurgery
Department : Research - Neurosurgical
Business Entity : Cedars-Sinai Medical Center
Job Category : Academic / Research
Job Specialty : Postdoctoral Scholar
Overtime Status : EXEMPT
Primary Shift : Day
Shift Duration : 8 hour
Base Pay : $74,880.00 - $93,600.00
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.
