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Single Cell Rna Sequencing Phd Jobs in Massachusetts

Tufts University

Computational Biologist

Medford, MA · On-site

$74K - $111K/yr

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 ...

Predicta Biosciences

R&D Scientist

Cambridge, MA · On-site

... sequencing and single-cell RNA-seq. The ideal candidate has a strong technical background in ... PhD (or BS/MSc with significant industry experience) in immunology, molecular biology, cell biology ...

Predicta Biosciences

R&D Scientist

Cambridge, MA · On-site

... sequencing and single-cell RNA-seq. The ideal candidate has a strong technical background in ... PhD (or BS/MSc with significant industry experience) in immunology, molecular biology, cell biology ...

PREDICTA BIOSCIENCES INC

R&D Scientist

Cambridge, MA

... sequencing and single-cell RNA-seq. The ideal candidate has a strong technical background in ... PhD (or BS/MSc with significant industry experience) in immunology, molecular biology, cell biology ...

TSR Consulting

Research Associate

Cambridge, MA · On-site

$32.35/hr

Single-cell RNA sequencing (scRNA-seq) * Bulk RNA/DNA sequencing * Illumina Next Generation Sequencing (NGS) * Library preparation * Sequencing workflows * DV200 assessment Histology * Multiplex ...

Merck & Co.

$64K - $65K/yr

A proven track record of applying machine learning to analyze single cell RNA sequencing data to identify novel patterns and functional insights.Previous experience with experimental design of ...

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Single Cell Rna Sequencing Phd information

What is a single cell RNA sequencing PhD?

A Single Cell RNA Sequencing PhD is a doctoral degree focused on the study and application of single-cell RNA sequencing (scRNA-seq) technologies. This field involves analyzing the gene expression profiles of individual cells, allowing researchers to understand cellular heterogeneity and complex biological processes at a granular level. PhD students in this area typically conduct original research, develop computational methods, and advance our understanding of cell biology, disease mechanisms, and potential therapeutic targets. Graduates often pursue careers in academia, biotechnology, or pharmaceutical research.

What are the key skills and qualifications needed to thrive as a single cell RNA sequencing PhD, and why are they important?

To thrive as a Single Cell RNA Sequencing PhD, you need a strong background in molecular biology, bioinformatics, and genomics, typically supported by a PhD in a relevant field. Proficiency with single-cell sequencing platforms (e.g., 10x Genomics), next-generation sequencing (NGS) technologies, and computational analysis tools like R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating within multidisciplinary teams. These skills and qualifications are vital for designing robust experiments, analyzing high-dimensional data, and translating findings into impactful biological insights.

What are some common challenges faced by researchers in a single cell RNA sequencing PhD role, and how can they be addressed?

One of the main challenges in a Single Cell RNA Sequencing PhD role is managing and interpreting large, complex datasets generated from single-cell experiments. Researchers must be proficient in both wet-lab techniques and bioinformatics analysis, often requiring collaboration with computational biologists. Another challenge is ensuring sample quality and minimizing technical variability, which can significantly impact data reliability. Staying updated with rapidly evolving sequencing technologies and analytical tools is crucial, as is developing strong problem-solving skills to troubleshoot experimental or computational issues.

What is the difference between Single Cell Rna Sequencing Phd vs Single Cell Data Analyst?

AspectSingle Cell Rna Sequencing PhdSingle Cell Data Analyst
Required CredentialsPhD in Biology, Genetics, or related fieldBachelor's or Master's in Data Science, Biology, or related field
Work EnvironmentResearch labs, biotech companies, academic institutionsBiotech firms, research organizations, healthcare companies
Industry UsageDesigning experiments, interpreting sequencing data, publishing researchAnalyzing sequencing datasets, creating reports, data visualization

The Single Cell Rna Sequencing Phd typically involves designing experiments and interpreting complex sequencing data, requiring advanced research skills. In contrast, a Single Cell Data Analyst focuses on analyzing datasets, generating insights, and visualizing data, often with less emphasis on experimental design. Both roles are vital in the biotech industry but differ in their focus and required expertise.

What are popular job titles related to Single Cell Rna Sequencing Phd jobs in Massachusetts?

For Single Cell Rna Sequencing Phd jobs in Massachusetts, the most frequently searched job titles are:

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Cities in Massachusetts with the most Single Cell Rna Sequencing Phd job openings:

Single Cell Rna Sequencing Phd jobs near you

Computational Biologist

Tufts University

Medford, MA • On-site

$74K - $111K/yr

Full-time

Posted 6 days ago

Tufts University rating

8.4

Company rating: 8.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

103rd of 631 rated colleges and universities

Job description

Overview
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. The Morphogenesis and Regeneration Group investigates mechanisms of limb regeneration and regenerative biology using mouse and Xenopus models, with the goal of identifying principles and interventions that improve tissue repair, patterning, and functional regeneration.
What You'll Do
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. 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.
In this role, additional responsibilities include participating in teaching, research, and mentoring including providing research guidance to graduate students or postdoctoral scholars.
  • 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.

What We're Looking For
Basic Requirements:
Knowledge and experience typically acquired by:
  • 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.

Preferred Qualifications:
  • 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.

Pay Range
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.

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