Postdoctoral Research Associate (PRTC, Luna Lab)
The Luna Lab, directed by Dr. Jose Marcio Luna, offers meaningful projects at the forefront of translational cancer imaging research. The selected candidate will lead or participate in projects developing, implementing, and applying computational image analytics and artificial intelligence algorithms for investigating associations between inflammatory, stromal/ECM and cancer cell components extracted from molecular images, and signatures derived from radiological images to improve treatment guidance and prognostication of a variety of cancers. The selected candidate will have the opportunity to work in a highly collaborative and multi-disciplinary environment and to closely interact with world-class radiologists, medical physicists, oncologists, biostatisticians and imaging scientists. The candidate will also have ample opportunities to publish research methods and scientific findings in academic journals and at premier scientific conferences. We are dedicated to maintaining a vibrant and diverse working environment and to providing as many opportunities as possible for young trainees to pursue their scientific and professional goals. The position is initially available for up to two years and can be renewed based on performance and funding availability.
Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.
• Ph.D. in Biomedical Engineering, Applied Mathematics, Computer Science, Electrical Engineering, Bioinformatics, or related fields.
• Record of accomplishments in at least one of the following fields: medical image analysis, radiomics, machine learning/AI, multiomics, informatics.
• Proficient in quantitative analytical methods and computer programming (Python, Matlab, shell scripting).
• Excellent interpersonal and communication skills, both verbal and written.
• Ability to work effectively independently and within a multidisciplinary team.
• Highly motivated to advance computational imaging and machine learning/AI in cancer detection and prognosis.
• Training in deep learning.
• Experience with radiological images (preference of PET/CT and MRI) and/or histopathology images.
• Background in scientific computing (e.g. Unix/Linux experience).
This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and provide standard care to research animals.
Base pay is commensurate with experience.
Applicant Special Instructions
Interested candidates are encouraged to email a current CV, a cover letter describing their research interests, contact information for three references who are familiar with their work, and two to three representative publications to Dr. José Marcio Luna.