Scientist, Image Analysis
Incendia Therapeutics is a precision oncology company dedicated to reprogramming the tumor microenvironment with the express intent of bringing recalcitrant cancers into submission. We recognize that cancer cells create a hostile microenvironment to privilege their own survival at the expense of the host tissue. Incendia’s approach is to attack the structural and biochemical underpinnings of this tumor microenvironment to enable host immune cells and Immuno-oncology therapeutics to reach their target.
Incendia is currently running a phase 1 clinical trial evaluating the safety, biologic, and clinical impact of PRTH-101 alone and in combination with PD-1 inhibition (NCT05753722). Our mission was created to serve cancer patients who are the most in need of novel therapeutics. Everything we do is guided by caring for and doing the right thing for those patients.
We are seeking a self-motivated individual who desires to have a direct impact on science and drug development within our clinical stage, fast-paced, and dynamic biotech. The candidate will have extensive experience in image analysis of multiplex histopathology images and an understanding of tumor biology and immuno-oncology, as well as an abiding interest in drug development. The Scientist in this position within the Translational Medicine group is expected to develop and/or deploy image analysis and data science techniques on multiplex immunofluorescence and H&Estained images to gain insights into the tumor microenvironment, including features related to tumor immune phenotypes, tumor heterogeneity, and response to therapy. The candidate will have the opportunity to design and execute non-routine image analysis solutions utilizing traditional or AI-based methods for exploratory analyses with a high level of autonomy and minimal supervision.
- Analyze histopathology images and data to gain insights into spatial features within the tumor microenvironment and to identify and quantify biomarkers of drug response
- Design and implement image analysis solutions by adapting and utilizing open source and/or licensed image analysis tools
- Develop and execute strategies to measure biomarkers from internally and externally produced datasets
- Collaborate with other members of the Translational Medicine and Drug Project teams (e.g, biologists, bioinformaticians) to meet the scientific objectives of the company
- Demonstrate clear and professional verbal and written communication.
- Ph.D.in a relevant field (e.g. Bioinformatics, Computer Science, Engineering, Biology) with 1+ years experience. Alternatively, an M.S. with considerable experience in image analysis (5+ years) will also be considered. Industry experience is preferred.
- Extensive experience in image analysis of multiplex histopathology images using software packages such as QuPath, Halo/Halo AI/Halo Link, or VisioPharm. Familiarity with OpenCV and the Java Topology Suite a plus.
- Deep understanding of the technical and scientific underpinnings of multiplex histopathology assays and imaging methodologies, including H&E staining, IHC, and IF.
- Proficiency in data science methodology and statistics; programming skills in Python and R. Understanding of machine learning practices.
- Basic understanding of and interest in tumor biology, immuno-oncology, and the drug development process.
- Demonstrated ability to design and execute analyses and interpret results.
- Independent, self-motivated, and innovative with the ability to excel in a goaloriented, nimble, and fast-moving team environment.
- Strong organizational and communication skills.
- Authorization to work in the U.S.
- Competitive salary and benefits package
- Opportunity for professional development and career advancement
- A supportive and innovative work environment
- Access to cutting-edge technology and research tools
Please send your application to email@example.com
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