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Single Cell Rna Sequencing Phd Jobs in Massachusetts

Cellarity

Machine Learning Scientist

Somerville, MA

PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years ... Experience with high-dimensional biological data analysis (bulk/single-cell RNA-seq, gene ...

Cellarity

Machine Learning Scientist

Somerville, MA · On-site

PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years ... Experience with high-dimensional biological data analysis (bulk/single-cell RNA-seq, gene ...

Merck & Co.

$144K - $227K/yr

Multi-omics Analysis:-Perform quality control (QC) and analysis of different molecular data types including bulk and single-cell RNA-seq (e.g., Limma, Seurat, scanpy), spatial transcriptomics (e.g ...

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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:

What job categories do people searching Single Cell Rna Sequencing Phd jobs in Massachusetts look for?

The top searched job categories for Single Cell Rna Sequencing Phd jobs in Massachusetts 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 Scientist I - McCarroll Lab

Cambridge, MA • On-site

Broad Institute
1 - 5K employees
Learn more about Broad Instituteexternal

$88K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Key responsibilities

  • Develop, refine, optimize and apply analysis methods to datasets such as single-cell RNA-seq, ATAC-seq, and multiome data.

  • Analyze data to address biological questions related to disease pathogenesis, genetics, and biomarkers.

  • Create data-visualization tools and visualizations for internal and external stakeholders.

Job description

General information
Location
Cambridge, MA
Ref #
44407
Job Family
Research
Workplace
Hybrid
Date published
09/02/2026
Time Type
Full time
Pay Range
$88,000.00/yr - $124,000.00/yr
Description & Requirements
The Broad Institute of MIT & Harvard is looking for an outstanding Computational Scientist to join the McCarroll Lab . The goal of the McCarroll lab is to understand how genes and alleles give rise to human neurobiological variation and to the brain's biological vulnerabilities to DNA-repeat disorders and major mental illness. The successful candidate will join a multidisciplinary group and support a wide variety of projects conducting cutting-edge research on the molecular, cellular, and neurobiological mechanisms of brain disorders.
This position will work in close collaboration with scientists, project and data managers, and software engineers on a variety of projects spanning between the Broad Institute and Harvard Medical School. The Computational Scientist will be actively engaged with multiple projects, and will need to have exceptionally strong computational and organizational skills as well as the ability to prioritize tasks appropriately.
Responsibilities
• Develop, refine, optimize and apply analysis methods to a variety of datasets, including single-cell RNA-seq, ATAC-seq, and multiome data.
• Analyze data to address biological questions about disease pathogenesis, genetics, and biomarkers.
• Create innovative new analysis methods allowing the project team and the broader scientific community to access, analyze and interact with data generated by projects; carefully document and annotate source code.
• Develop data-visualization capabilities for the research team, and create visualizations of data for a variety of internal and external stakeholders.
• Work with scientists, data managers and software engineers toward the creation of optimal analysis workflows for high-data-volume experiments. Participate in project-planning and project-analysis meetings as well as software-planning meetings, communicating the needs and tradeoffs.
Qualifications
• PhD in Computer Science, Mathematics, Statistics, Biology, Bioinformatics, or a related field
• Minimum years of experience: 2+ years of direct work experience
• Fluency in Python and/or R
• Solid understanding of one or more related areas of biology
• Experience working on multiple complex projects simultaneously
• Excellent organizational skills and ability to prioritize tasks thoughtfully
• Demonstrated ability to interact with a diverse and interdisciplinary group of both professional staff and academic trainees; including project managers, data analysts, software engineers, and laboratory scientists
• Experience analyzing next-gen sequencing data, preferably single-cell RNA-seq data
• Knowledge of data science principles (e.g., statistics, algorithms)
The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.

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