Randstad Life Sciences US

Bioinformatics, Post Doctoral Researcher

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Direct message the job poster from Randstad Life Sciences US

Andrea Tsintzas

Andrea Tsintzas

Senior Recruiter at Randstad Life Sciences

Bioinformatics, Post Doctoral Researcher

One Year Contract *extension possible*

REMOTE | Max Rate: $42.11


The Postdoctoral Researcher is a key member of the data science organization. This individual will be responsible for developing, implementing and utilizing state-of-the-art AI/ML-based algorithms to processing, analyzing and interpreting images or similar data derived from a variety of imaging modalities and platforms, including but not limited to histopathological slides, radiological image data and others to classify, segment, characterize, or predict patient outcomes, biomarker status, or disease.


MUST HAVE

  • PhD in Computer Science, Biomedical Engineering, Data Science, Bioinformatics, Computational Biology or related field with relevant imaging analysis experiences
  • Expertise developing & validating machine learning & AI techniques for image-like data (devise AI/ML approaches to develop image analysis solutions for biomarker discovery)
  • Programming experience: Python/MATLAB/C/C++


DESCRIPTION

The Postdoctoral Researcher is a key member of the data science organization. This individual will be responsible for developing, implementing and utilizing state-of-the-art AI/ML-based algorithms to processing, analyzing and interpreting images or similar data derived from a variety of imaging modalities and platforms, including but not limited to histopathological slides, radiological image data and others to classify, segment, characterize, or predict patient outcomes, biomarker status, or disease. This individual will take part in discussions and present their work to the team and relevant stakeholders.


ESSENTIAL FUNCTIONS/RESPONSIBILITIES

• Utilize cutting-edge technology for the analysis of images or similar data derived from a variety of imaging modalities and platforms.

• Devise AI/ML approaches to develop image analysis solutions for biomarker discovery in oncology and neurosciences.

• Develop and validate AI model(s) that use feature embeddings to predict molecular/gene signatures from histopathology whole slide images.

• Compile data and present at internal/external meetings.


REQUIRED KNOWLEDGE, SKILLS & ABILITIES

• Strong expertise developing & validating machine learning & AI techniques for image-like data

• Programming experience (python/MATLAB/C/C++)

• Experience using high-performance compute clusters to train and deploy deep models

• Experience with statistics and data analysis/visualization of multi-dimensional data


REQUIRED EDUCATION

PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Data Science, Bioinformatics, computational biology or other related field with relevant imaging analysis experiences

  • Seniority level

    Entry level
  • Employment type

    Contract
  • Job function

    Information Technology, Science, and Research
  • Industries

    Biotechnology Research and Pharmaceutical Manufacturing

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