Cedars-Sinai Research Postdoctoral Scientist - Smidt Heart Institute - Dr. Susan Cheng Lab in Los Angeles, California
The Smidt Heart Institute is in search for a Research Postdoctoral Scientist who will lead and assist with data management, analysis, and interpretation for Dr. Susan Cheng's research projects. The position will help prepare original research manuscripts and grant proposals. The Research Postdoctoral Scientist will develop, adapt, and implement new research techniques and protocols. As well as perform routine and complex laboratory procedures throughout training period.
The way we do biomedical science is changing. Given that we can now measure millions of variables per experiment, the next set of great discoveries will be made by researchers who can efficiently sift through large volumes of data and rigorously glean elemental truths. While methods in science are shifting, the fundamental questions remain the same. Therefore, our research collaborative is seeking extremely motivated team members who are clinically oriented and skilled at conducting conventional and advanced statistical analyses of high-dimensional datasets to address clear and relevant questions. In addition to a biomedical understanding of age-related diseases, we are interested in candidates with experience in critically appraising data analysis approaches. Our inter-institutional collaborative applies high-throughput molecular and image-based phenotyping methods in population cohorts to identify key drivers of the balance between healthy aging and the risk for age-related diseases. Our team includes clinicians, biostatisticians, bioinformaticians, epidemiologists, imaging specialists, mass spectrometrists, analytical chemists, and basic biologists -- all collectively focused on making discoveries that will profoundly impact human health.
Interested candidates should ideally have expertise in analyzing high-dimensional data including conducting predictive models in large clinical datasets with prospectively adjudicated outcomes. The successful candidate will work closely with a team of scientists to develop, test, and validate data analysis methods intended to discover and confirm biomarker relations with disease outcomes. All applicants should have exceptional written and oral communication skills, as well as a strong publication history. The ideal candidate is committed to pursuing a career in academia and will be able to leverage our extremely strong track record in mentoring early career investigators towards successfully obtaining independent federal grant funding and academic faculty positions.
All candidates should be highly self-motivated, enthusiastic, and have a desire to work as part of a dynamic and diverse collaborative team in a start-up like environment. Candidates will also be willing to travel between bi-coastal collaborative laboratories as needed.
Works independently with supervision and consultation from the Principal Investigator and other research scientists.
Leads and assists with data management, analysis, and interpretation for a number of research projects.
Leads and contributes to the all aspects of a number of research projects, including the preparation of original research manuscripts for publication in high-impact journals.
Develops, adapts, and implements new research techniques and protocols.
Assists with and trains in the preparation of grant proposals (while not being responsible for the generating grant funds).
Candidate must be highly organized and have precise attention to detail.
Excellent English oral and written communication skills are required.
Candidate must be able to multitask and assign priorities in a busy, start-up like environment.
Excellent interpersonal skills are required for working with a dynamic team.
Ability to demonstrate professionalism and respect for subjects’ rights and individual needs.
- Doctorate(MD, PhD, VMD, or DDS) in area directly related to field of researchspecialization.
Worksindependently on research projects designed by a mentor (typically the PI)within area of specialization.
Acquires thoroughtechnical and theoretical knowledge of research project and objectivesduring one to five (1-5) year post-doctoral appointment.
Demonstrated aptitude to perform experimental protocols and procedures,including detailed data collection, and analysis and operation andmaintenance of specialized equipment.
Knowledge of safety standards andmaintenance of specialized equipment.
Strong track record of high impact publications.
Experience using R, STATA, and/or SAS for analyzingdatasets.
Direct experience analyzing large sized,high-dimensional datasets would be highly valued.
Experience with Python and working in Linuxenvironments would be valued.
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.