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7 Sep 2021

Temporary IHC Research Scientist (21-27590) Lawrence Township, New Jersey, United States

Job Description

“This role is currently work-from-home and will move to the office environment after the COVID-19 restrictions are lifted.”

Job Description: Research Scientist, Digital Pathology, Translational Bioinformatics

We are seeking a highly motivated research scientist with extensive experience in image analysis and feature extraction of H&E and/or immunohistochemistry (IHC) stains to join our Digital Pathology team in the Translational Bioinformatics group. This group of computational scientists is responsible for advancing ***’s industry-leading pipeline, within the Immuno-Oncology space, through the strategic application of cutting-edge pathology image analysis and bioinformatics approaches. The group interacts with and impacts all aspects of R&D at Client, from early discovery through late-stage development. The successful candidate must have experience in utilizing pathology image analysis software in the quantification of IHC staining expression, including tumor/stroma classification and cellular feature extraction. The candidate should be able to perform statistical analyses and data visualization using data analysis packages such as R, Python, and/or MATLAB.
• Hands-on implementation/support of pathology whole slide image analysis tools and technology.
• Collaborate with pathologists and biomarker scientists to design experiments which leverage pathology image data to support early- and late-stage clinical drug development
• Working alongside image scientists in the digital pathology group to manage, prepare and analyze pathology whole slide images to support Immuno-Oncology and other disease areas.
• Manage project scope and deliverables with digital pathology related external vendors and strategic collaborations with academic institutions.
• Design and perform bioinformatics analyses and data visualization, including analytics associating image analysis features with response and survival data using cox regression models, hypothesis testing, ROC analysis, and other statistical tools
• Active participation in the testing of pathology image management and analysis systems, tools and technology
• Prepare and present findings from image analysis projects to other groups within Client.
• Collaborate with other image scientists to propose, review and finalize future image analysis algorithm development and project work.
• PhD in Biomedical Engineering, Bioinformatics, Computer Science or related discipline; or M.S. with 3 or more years of related experience in a university pathology lab or pharmaceutical or biotech company
• Fluent in one or more digital pathology analysis software packages; including HALO, Visiopharm, Definiens, Inform and/or Aperio Image Analysis.
• Prior experience working within the biotech/pharma industry, processing and analyzing digitized pathology whole slide pathology images.
• Excellent programming skills in one or more analytics packages such as R, Python and/or MATLAB.
• Knowledge of various digital imaging scanner and/or experience imaging chromogen and fluorescent stains is desired.
• Prior experience in developing image analysis algorithms in feature extraction of tumor, stroma, and various cell types through stains and morphometric features is desired.
• Prior experience with applying machine learning and/or deep learning tools for medical imaging tasks is preferred
• Has developed and deployed image analysis workflows for capture, organization and storage in a GLP-like environment.
• Strong problem-solving and collaboration skills, and rigorous and creative thinking
• Excellent written and oral communication skills, including an ability to collaborate effectively with lab scientists and pathologists
• Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
• The ability to work across organizations to define and solve problems that will benefit the whole. Capable of establishing strong working relationships across the organization.
• Track record of scientific leadership exemplified by first author peer-reviewed publications ideally related to pathology image analysis is a plus
• Previous experience working in oncology is preferred

Top 5 skills
• 5+ years of business analyst experience in the Biopharma space
• 3+ years of Project Management experience
• 3+ years of Finance Experience
• 3+ years with MS Office 365
• Bachelor’s Degree in Business Administration or Finance

How to Apply

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Job Types: Temporary.

Job expires in 25 days.

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