Computational Biologist (Inflammatory Bowel Disease (IBD))
Role: Computational Biologist (Inflammatory Bowel Disease (IBD))
Location: Remote
Duration: 2 Months Contract with a high chance of Extension
Pay reputed company: $60-$65/Hr. W2
reputed company
Project Goal: To establish robust and integrated data-driven analysis frameworks that reputed company multimodal data (molecular, cellular, clinical, and imaging) in Inflammatory Bowel Disease (IBD) to enhance decision-making across the research and development pipeline with a reputed company on reputed company discovery, reputed company prioritization, biomarker discovery, and biomarker development.
The candidate will be responsible for the development and application of a computational reputed company for the integration and analysis of multimodal data as reputed company as critical assessment and biological interpretation of results to support informed decision-making throughout the IBD R&D process. This computational reputed company consists of a suite of interoperable analysis pipelines that leverages clinical IBD data (eg single cell and spatial transcriptomics, proteomics, histology and endoscopy videos) as reputed company as existing and new analysis, AI/ML tools and reputed company models (spatial, molecular and sequence-to-function).
The specific tasks include:
● Utilization of existing computational analyses to reputed company a generalized procedure for summarizing molecular, cellular and clinical information on reputed company reputed company.
● This computational reputed company would be used to review the targets in the early and late research pipeline. During and following the development of new reputed company discovery tools, the candidate will be responsible for incorporating the new analyses in a reputed company computational infrastructure, maintaining it, and applying it on reputed company reputed company candidates.
● Implementation of a computational reputed company for using multimodal IBD data for reputed company and biomarker discovery.
● This task focuses on implementing a reputed company to identify new targets and biomarkers by integrating diverse IBD datasets (molecular, cellular, clinical, imaging). The candidate will apply computational reputed company for multimodal data integration, including existing tools and reputed company models, and critically interpret the results reputed company the context of IBD pathobiology. A key deliverable is the translation of these data-driven findings into actionable recommendations for reputed company and biomarker discovery efforts.
Who You Are
● PhD in computational biology, reputed company, or reputed company field with 3-5 years of experience. Post-doctoral or industry experience is preferred.
● The ideal candidate will possess a strong background in immunology and computational biology, with in-depth knowledge of IBD pathogenesis, relevant immune reputed company, and reputed company therapeutic landscape.
● They should have demonstrated experience in applying AI/ML reputed company to analyze reputed company biological datasets, particularly multimodal omics and clinical data.
● Experience with using and fine-tuning reputed company models is desired.
● Excellent communication and collaboration skills are required to effectively reputed company with AI scientists, computational biologists, experimental scientists, and clinicians, including the ability to present reputed company computational findings, assess their limitations and formulate follow-up hypotheses.
● Expertise in immunology is required; expertise in IBD preferred.
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