Bioinformatics Scientist (Transcriptomic/Proteomics Datasets/Python/Seurat)

What are the top 3-5 skills, experience or education required for this position:

• Experience developing analysis solutions for single-cell transcriptomics, or mIF proteomics datasets
• Strong proficiency in programming languages Python and R
• Experience with Bioinformatics tools (Seurat, Scanpy, Squidpy)
• Experience with machine learning frameworks and data visualization tools.
• Excellent analytical, problem-solving, and communication skills.
• Experience with tissue-based image analysis and immunologic diseases is preferred

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.

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

Qualifications:

• Ph.D. (or equivalent experience) in Computational Biology, Bioinformatics, Systems Biology, or a related field. Background in life sciences or experience in the pharmaceutical industry preferred.
• Strong proficiency in programming languages such as Python, R, or MATLAB, and relevant data science libraries (such as NumPy, Pandas, Matplotlib, Scikit-learn, etc.) for data analysis, manipulation, and visualization.
• Experience with bioinformatics tools and databases, especially those pertinent to omics data analysis such as Squidpy or Scanpy
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and as part of a team, managing multiple projects simultaneously.

Preferred Qualifications:

• Familiarity with digital pathology image analysis platforms (Visopharm and Qupath) and spatial omics analytic platforms (BioTuring)
• Experience with machine learning frameworks and data visualization tools.
• Familiarity with cloud-based (AWS) and high-performance computing environments

Job Type: Contract

Pay: $67.00 - $69.00 per hour

Expected hours: 40 per week

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday

Education:

• Doctorate (Preferred)

Experience:

• Bioinformatics: 5 years (Preferred)
• machine learning frameworks: 5 years (Preferred)
• Python: 5 years (Preferred)
• R programming: 5 years (Preferred)
• Seurat, Scanpy, Squidpy: 5 years (Preferred)
• data visualization tools.: 5 years (Preferred)
• tissue-based image analysis and immunologic diseases: 5 years (Preferred)
• single-cell transcriptomics, or mIF proteomics datasets: 5 years (Preferred)

Ability to Commute:

• Worcester, MA 01602 (Required)

Work Location: In person

Salary : $67 - $69