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Post-Doctoral Research Fellow - Computational Biology in Single-Cell Multi-Omics


PayCompetitive
LocationRoslindale/Massachusetts
Employment typeFull-Time

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  • Job Description

      Req#: 2491
      Employer Industry: Biomedical Research

      Why consider this job opportunity:
      - Competitive salary based on experience
      - Opportunity for career advancement and growth within a prestigious research environment
      - Collaborative research environment with access to resources from top institutions
      - Engage in innovative research impacting osteoporosis treatment and understanding
      - Chance to work alongside leading experts in the field of computational biology and skeletal biology

      What to Expect (Job Responsibilities):
      - Develop and execute analytical plans and bioinformatic analyses for osteoporosis therapies
      - Conduct single-cell RNA-seq and multi-omics analyses from clinical and pre-clinical samples
      - Collaborate with interdisciplinary teams including clinicians and computational biologists
      - Perform cross-species comparison analysis using data from human and mouse studies
      - Communicate findings effectively through presentations and publications

      What is Required (Qualifications):
      - Doctorate degree (PhD, ScD, and/or MD) in computational biology, statistical genetics, quantitative genomics, bioinformatics, or a relevant area
      - Analytical experience with single-cell RNA-seq and NGS-based sequencing
      - Proficiency in R, Python, and TensorFlow for data analysis
      - Experience in a cloud computing environment and data management
      - Track record of publications in peer-reviewed journals

      How to Stand Out (Preferred Qualifications):
      - Prior experience in biomedical studies relevant to musculoskeletal diseases
      - Strong interpersonal and organizational skills
      - Proven ability to present complex data clearly to diverse audiences

      #BiomedicalResearch #ComputationalBiology #CareerOpportunity #OsteoporosisResearch #InterdisciplinaryCollaboration

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