Postdoctoral Scientist - Urbanowicz Lab - Computational Biomedicine at CedarsSinai
California, California, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Jul, 25

Salary

0.0

Posted On

07 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Specialized Equipment, Computational Biology, Dds, Biostatistics, Research Projects, Maintenance, Computer Science, Bioinformatics, Biomedical Informatics, Collaboration, Scientific Writing, Data Collection, Data Science, Vmd

Industry

Hospital/Health Care

Description

JOB DESCRIPTION

Principal Investigator, Dr. Ryan Urbanowicz, is seeking a Postdoctoral Scientist to join the Department of Computational Biomedicine!
The primary focus of the URBS Lab (Unbounded Research in Biomedical Systems) is the development, evaluation and application of machine-learning (ML) and artificial intelligence (AI) tools/methods targeting various biomedical data types and problems. We develop and apply methods that (1) automate and provide rigor to machine-learning analyses, (2) can detect complex patterns of association, (e.g., epistasis and heterogeneity), (3) are interpretable/explainable to promote trust and translational adoption, as well as to identify and address sources of bias, (4) scale to “big data” and (5) flexibly adapt to common data challenges, (i.e., missing values, class imbalance, consideration of covariates). We aim to make ML and AI tools that are applicable to a wide variety of biomedical problems and that are accessible, reliable, reproducible, flexible, user-friendly, computationally efficient and transparent. Our lab holds particular interest in the research of rule-based ML, automated ML, feature selection and evolutionary algorithms. To learn more, please visit: Cedars-Sinai | Urbanowicz Lab

EDUCATION:

  • Doctorate (MD, PhD, VMD, or DDS) in computer science, computational biology, data science, bioinformatics, biomedical informatics, biostatistics, engineering, or a related quantitative field is required.

EXPERIENCE AND SKILLS:

  • Competitive candidates will be proficient in scientific writing having published in more than one of the areas mentioned as well as experience with algorithm development/application.
  • Including a cover letter and publication examples (first authorship) are preferred, but not required.
  • Independently works on research projects designed in collaboration with one or more mentors within an area of specialization.
  • Acquires thorough technical and theoretical knowledge of research projects and objectives during one to five (1-5) year post-doctoral appointment.
  • Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection.
  • 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.

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 it pertains directly to research being performed.
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