PHD Bioinformatics Analyst - The Fountain Group : Job Details

100% ONSITE WORCESTER MA

Pay: $68-$73/hr

REQUIRED:

• Ph.D. (or equivalent experience) in Computational Biology, Bioinformatics and background in life sciences or experience in the pharmaceutical industry preferred.

1. Experience developing analysis solutions for single-cell transcriptomics, or mIF proteomics datasets

2. Strong proficiency in programming languages Python and R

3. Experience with Bioinformatics tools (Seurat, Scanpy, Squidpy)

4. Experience with machine learning frameworks and data visualization tools.

5. Excellent analytical, problem-solving, and communication skills.

6.Experience with tissue-based image analysis and immunologic diseases is preferred

Job Description:

Data Scientist to join our expanding Spatial omics team within the Discovery Immunology Pathology group. The successful candidate will develop and apply computational methods for the analysis of image-based spatial omics datasets, including the integration of multi-modal omics data and data interpretation in order to derive novel biological insights, identify disease biomarkers and new therapeutic targets. The successful candidate will be part of a unique multidisciplinary team working closely with pathologists, image analysts, and research scientists across the organization in a highly dynamic and collaborative environment to support pathology driven spatial omics projects that contribute to innovative drug discovery research.

Key Responsibilities:

• Design, develop and implement computational pipelines for processing and analyzing spatial omics datasets, including spatial transcriptomics and proteomics.
• Collaborate with pathologists and image analysts to develop methods to integrate and analyze spatial transcriptomics data with other spatial modalities, such as IHC or mIF
• Collaborate with pathologists to validate spatial analysis tools in the context of tissue structure to ensure accuracy and reproducibility
• Ensure scalability and efficiency of the pipelines to handle large and complex datasets
• Lead the development of data visualization tools to effectively communicate findings to both technical and non-technical stakeholders.
• Stay current with emerging trends and technologies in spatial omics and bioinformatics, and assess their applicability to ongoing projects.
• Generate concise reports and accurately document project details, algorithms and results in electronic laboratory notebook