Spectraforce Technologies
Job title: Data Scientist
Location: Remote
Duration: 06 months
Job Description
Position Summary:
We seek a talented and highly motivated 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.
What are the top 3-5 skills, experience or education required for this position:
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
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
Location: Remote
Duration: 06 months
Job Description
Position Summary:
We seek a talented and highly motivated 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.
What are the top 3-5 skills, experience or education required for this position:
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
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