• Job Description

  Req#: 25-53420
  
  Duration: 12 months contract
  
  Job Description:
  • The Precision Medicine Pathology team drives the scientific strategy for translational tissue-based biomarker development & discovery target validation/MOA projects, leads pathology collaborative programs, conducts histopathological evaluation & analysis of IHC & spatial biology technologies, and provides technical/scientific leadership to histotechnicians & pathology scientists.
  • The successful candidate will have advanced knowledge and experience analyzing spatial transcriptomics and proteomics data generated on the CosMx SMI and PhenoCycler Fusion platforms.
  
  Responsibilities:
  • Implementation of different scripts and pipelines for spatial transcriptomics data analysis and analysis of high-plex PhenoCycler Fusion (CODEX) images.
  • Independently performing end-to-end high-plex image analysis (tissue classification, cell segmentation, detection of marker positivity, cell phenotyping, unsupervised clustering, neighborhood analysis, proximity analysis).
  • Acting as a subject matter resource and training other team members in spatial analysis tasks.
  • Collaborating with pathologists and digital pathology scientists to support spatial biology projects.
  • Presenting the results and findings from spatial biology studies to stakeholders.
  
  Experience:
  • MSc, PhD, or equivalent degree in biological sciences / computational biology / engineering / computer science / informatics
  • Fluency in Python and R
  • Experience in implementing and utilizing open-source scripts and pipelines for high-plex image analysis
  • Experience in quantitative digital pathology analysis platforms such as Halo, Visiopharm, QuPath
  • Close familiarity with tissue microscopic anatomy and histology (normal and diseased) is a plus
  • Excellent verbal communication skills are required including the demonstrated ability to effectively and clearly summarize results for presentation and report generation
  
  Skills:
  • Fluency in Python and R
  • Experience in implementing and utilizing open-source scripts and pipelines for high-plex image analysis
  • Experience in quantitative digital pathology analysis platforms such as Halo, Visiopharm, QuPath
  • Close familiarity with tissue microscopic anatomy and histology (normal and diseased) is a plus
  
  Education:
  • MSc, PhD, or equivalent degree in biological sciences / computational biology / engineering / computer science / informatics
  
  About US Tech Solutions:
  US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
  
  US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
  
  

• About the company

  Our Talent Your Results - This is the premise behind US Tech Solutions. Our flexible engagement model offers right-fit talent on-demand - when, where and how you need it, so you can achieve your business objectives. We offer contingent, contract-to-hire or direct staffing services. At USTECH, we understand how critical talent is to every organization, as well as how the world of work and the workplace is changing. We offer the most effective means to help you acquire, manage and optimize talent. USTECH was founded in 2000 by Manoj Agarwal. Today, we are a global firm offering talent solutions to 150 customers including 20% of Fortune 500 across Financial Services, Healthcare, Life Sciences, Aerospace, Energy, Retail, Telecom, Technology, Manufacturing, and Engineering.

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