Tufts University

Tufts University

Computational Biologist

Medford, Massachusetts

Sponsorship not specifiedDetected 4 days ago
PythonData AnalysisData VisualizationStatisticsBioinformaticsMolecular BiologyResearchExperimental DesignCommunicationCollaborationMentoringPublic SpeakingBiostatistics

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Cap-exempt (no lottery)100
Sponsors year-round90
Entry-level history60
PERM / green-card track50
Fits your clock70

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States it is exempt from the H-1B cap

In 7 Department of Labor filings, this employer states it is an institution of higher education — one of the statutory grounds for exemption from the H-1B cap. Cap-exempt employers can file year-round without entering the lottery.Employer's own attestation on a Department of Labor wage determination, not a USCIS determination — exemption is decided per petition.

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About the role

  • The Allen Discovery Center is dedicated to advancing basic biology and biomedicine through integrated molecular, genetic, biophysical, computational, and engineering approaches to understand and control biological form and function.

Responsibilities

  • Reporting to PI Michael Levin and working collaboratively alongside other senior scientists and team members, this individual will lead the design, analysis, and interpretation of high-dimensional datasets, with particular emphasis on single-cell and bulk RNA sequencing.
  • The position will partner closely with experimental researchers to ensure that studies are statistically rigorous, appropriately powered, and structured to answer defined biological questions.
  • The successful candidate will implement established analytical workflows, develop new computational approaches when existing tools are insufficient, integrate data across experiments and species, and communicate findings through clear visualizations, reports, presentations, and manuscripts.
  • Familiarity with wet-laboratory molecular biology workflows is important for effective experimental design and interpretation, such as RNA purification, library prep, single cell isolation, in-situ hybridization, and antibody staining.
  • 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.
  • Adapt established tools and develop new scripts, workflows, or analytical methods when existing approaches do not adequately address the biological question.

Requirements

  • Knowledge and experience typically acquired by:
  • Ph.D. with at least 1year of relevant experience, OR a Master's degree with at least 5 years of experience in computational biology, bioinformatics, biostatistics, genomics, systems biology, or a related field
  • Advanced proficiency in R and/or Python.
  • Ability to work independently while collaborating closely with experimental scientists
  • Evidence of contributions to peer-reviewed publications is required

Nice to have

  • Degree in computational biology, bioinformatics, biostatistics, genomics, systems biology or related field
  • Wet-laboratory experience with RNA purification, library preparation, single-cell isolation, in situ hybridization, or immunostaining is strongly preferred
  • Minimum $74,000.00, Midpoint $92,500.00, Maximum $111,000.00
  • generally, new hires can expect pay between the minimum and midpoint of the range.

Compensation

  • Minimum $74,000.00, Midpoint $92,500.00, Maximum $111,000.00
  • Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.

Company info

  • We are seeking an experienced computational biologist to support the Morphogenesis and Regeneration Group's studies of limb regeneration and regenerative biology in mouse and Xenopus models.
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