Scientist II

Responsibilities

• Develop and optimize image analysis pipelines for both 2D and 3D biomedical imaging data.
• Perform quantitative analysis of histology, IHC, IF, and multiplex imaging datasets.
• Apply classical image processing and machine learning techniques for segmentation, feature extraction, and classification.
• Integrate and utilize multiple digital pathology platforms such as HALO, Visiopharm, QuPath, and CellProfiler.
• Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and study objectives.
• Validate image-derived biomarkers and ensure analytical rigor and reproducibility.
• Document analysis workflows and maintain reproducible pipelines in accordance with best practices.
• Support interpretation and visualization of imaging data for scientific reports and presentations.
• Enable cross-team collaboration by sharing image analysis tools, pipelines, and algorithms.

Requirements

• Minimum of 3+ years of relevant experience with a Bachelor’s degree, or Master’s degree with applicable experience in a related scientific discipline.
• Strong proficiency in scientific programming languages such as Python and/or R.
• Extensive experience applying machine learning techniques, particularly in biomedical or pathology imaging.
• Hands-on experience with digital pathology image analysis, including cell segmentation and marker quantification from multiplex IHC datasets.
• Experience with image analysis platforms such as HALO AI, Visiopharm, QuPath, or CellProfiler.
• Prior experience in biotech or pharmaceutical industry preferred.

Education

• Bachelor’s or Master’s degree in a relevant scientific discipline (e.g., bioinformatics, computational biology, biomedical engineering, or related field) required.
• Equivalent combination of education and experience may be considered.

Qualifications

• Strong problem-solving skills with the ability to work independently and think analytically.
• Excellent attention to detail and commitment to reproducibility and data integrity.
• Strong communication skills, with the ability to translate complex computational results into clear scientific insights.
• Ability to collaborate effectively in cross-functional, multidisciplinary teams.
• Proven ability to manage multiple projects and priorities in a fast-paced environment.
• Passion for advancing digital pathology and image-based biomarker development.

Benefits

Full-time employees are also eligible for benefits options such as health coverage, life insurance, disability insurance, and 401k benefits.