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Project Scientist - Slomka Lab - Innovation in Imaging / Department of Medicine / Division of AIM

Employer
Cedars Sinai Medical Center
Location
Los Angeles, California
Salary
Commensurate with experience
Closing date
Jun 30, 2023

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.

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.

Are you ready to be a part of breakthrough research? Take action now by applying to this great opportunity!

Cedars-Sinai offers scientists unparalleled access to ground breaking technologies, facilities, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health. You can continue your career journey with us!

The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed tomography (CT) angiography imaging.

As a Project Scientist, you will work independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as part of a medical imaging and artificial intelligence research team within the Department of Medicine, Division of Artificial Intelligence. The incumbent will make significant and creative contributions to NIH research projects. This position will lead current and future research projects related to PET image reconstruction. Highly specialized and technical expertise in scientific programming, medical imaging and machine learning methods is required to carry out designated research projects. The Project Scientist is a key member of the research team and is expected to collaborate effectively with faculty investigators, engineers and research staff to achieve project objectives.

#Jobs-Indeed

Primary Duties and Responsibilities:

  • Develops and tests new image processing and software methods.
  • Develops and implements new research techniques, protocols and algorithms, and data analysis and interpretation including image reconstruction and deep learning techniques.
  • Participates in publications, scientific abstracts, and presentations as first author or co-author.
  • Presents research results at scientific meetings.
  • Participates in research and technical meetings and applies expertise to plan and develop new research projects and proposals.
  • Assists in the preparation of grant proposals of Senior Investigators.
  • Compiles, analyzes, interprets, and summarizes data.
  • May submit grant proposals independently, as approved by supervising Principal Investigator.
  • May lead or train Staff Research Associates and Research Fellows.
 

Education Requirements:

  • PhD in Computer Science or Biomedical Engineering or related field.

Experience and Skills:

  • Completion of postdoctoral scholar training.
  • Demonstrated significant, original or creative contributions to a research project or program.
  • Demonstrated scientific productivity in publications in peer-reviewed journals and/or grant submissions.
  • Knowledge of PI’s area of research specialization.
  • Experience in medical imaging, image processing, image reconstruction, machine learning and/or computer vision.
  • Proficiency in mathematics, medical statistics, and 3D geometry.
  • Proficiency in scientific and numerical C++ or Python programming.
  • Basic system administration skills.
  • Strong analytical and problem-solving skills.
  • Excellent communication (written and verbal) skills.

Physical Demands:

Able to perform moderate lifting.  Able to sit, stand and walk for prolonged periods of time.  Able to read papers and online documents.  Able to operate standard office equipment.  Able to exercise physical ability and perspective acuity to satisfactorily perform essential job functions.

We offer competitive total compensation that includes pay, benefits, and other recognition programs for our employees. The base pay range shown above takes into account the wide range of factors that are considered in making compensation decisions including knowledge/skills; relevant experience and training; education/certifications/licensure; and other business and organizational factors. This base pay range does not include our comprehensive benefits package and any incentive payments that may be applicable to this role.

We are caretakers and innovators committed to the pursuit of equitable healthcare. But health equity is not possible without representation. Our commitment to diversity goes beyond demographics or checking boxes. Our people must reflect the diverse identities, experiences and geographies of the communities and patients we serve – because that’s what our patients, colleagues and communities deserve. Quality Care and Research—For All, By All.

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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