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icims

Computational Biologist

Tufts University
Medford, USA
Full-time
Senior · 5+ years experience
Hybrid
USD 74000-111000 yearly / year
Discovered 1 months ago
RPython

Full Job Posting

  • Genomic and single-cell data analysis Develop and execute reproducible pipelines for single-cell RNA-seq, bulk RNA-seq, and related genomic datasets. Perform quality control, normalization, clustering, differential expression, trajectory, pathway, cell-cell communication, and cross-species analyses as appropriate.
  • Experimental design and biostatistics Collaborate with scientists before data collection to define hypotheses, sampling plans, replicate structure, covariates, and statistical approaches. Select and document appropriate methods for significance testing, multiple-comparison correction, batch effects, and large or nested datasets.
  • Computational method and tool development Adapt established tools and develop new scripts, workflows, or analytical methods when existing approaches do not adequately address the biological question. Maintain version-controlled, documented, and reusable code in Python and/or R.
  • Data integration, interpretation, and visualization Integrate molecular data with imaging, phenotypic, treatment, developmental-stage, and regeneration outcomes. Generate publication-quality figures and concise scientific summaries for internal decision-making.
  • Scientific collaboration and wet-lab interface Advise on sample collection, RNA purification, library preparation, single-cell isolation, in situ hybridization, and antibody-staining workflows. Participate in project meetings and help translate analytical findings into follow-up experiments.
  • Documentation and dissemination Maintain organized analytical records and data provenance. Contribute to manuscripts, grant reports, presentations, and shared protocols.
  • Master's Degree Degree in computational biology, bioinformatics, biostatistics, genomics, systems biology or related field
  • One year experience with PhD
  • Five years' experience with Master's degree
  • Demonstrated experience analyzing single-cell RNA-sequencing data. Advanced proficiency in R and/or Python. Strong grounding in statistics, experimental design, reproducible analysis, and scientific data visualization. Ability to work independently while collaborating closely with experimental scientists. Evidence of contributions to peer-reviewed publications is required.
  • PhD Degree in computational biology, bioinformatics, biostatistics, genomics, systems biology or related field
  • Experience with regenerative biology, developmental biology, limb biology, mouse or Xenopus datasets, spatial transcriptomics (highly desired), multi-omics integration, image analysis, workflow managers, high-performance computing, or cloud computing.
  • Wet-laboratory experience with RNA purification, library preparation, single-cell isolation, in situ hybridization, or immunostaining is strongly preferred.

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