ZipRecruiter

Log In

1

Single Cell Rna Sequencing Phd Jobs (NOW HIRING)

Merck & Co.

... and • single-cell RNA sequencing, to characterize immune cell interactions and-identify ... PhD in Immunology, Biology, Molecular Biology, Cell Biology, Biological-engineering-or related life ...

next page

Showing results 1-20

People also search for

All JobsSingle Cell Rna Sequencing Phd Jobs

Single Cell Rna Sequencing Phd information

See salary details

$19

$35

$50

How much do single cell rna sequencing phd jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for single cell rna sequencing phd in the United States is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $40.38 per hour, depending on experience, location, and employer.

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 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 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 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.
More about Single Cell Rna Sequencing Phd jobs
What cities are hiring for Single Cell Rna Sequencing Phd jobs? Cities with the most Single Cell Rna Sequencing Phd job openings:
What states have the most Single Cell Rna Sequencing Phd jobs? States with the most job openings for Single Cell Rna Sequencing Phd jobs include:
What job categories do people searching Single Cell Rna Sequencing Phd jobs look for? The top searched job categories for Single Cell Rna Sequencing Phd jobs are:
Single Cell Rna Sequencing Phd jobs near you
Scientist I, Single-Cell Genomics

Scientist I, Single-Cell Genomics

Allen Institute

Seattle, WA • On-site

$86K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Scientist I, Single-Cell Genomics
The goal of Allen Institute for Cell Science is to develop a comprehensive approach to measure, describe, and model cell states and their dynamic changes over time with the ultimate goal of uncovering the fundamental principles of multiscale, multicellular morphogenesis, including how groups of cells organize and achieve collective behaviors essential for life. Our approach encompasses multi-modal data collection including live 3D timelapse imaging, data analysis, theory, and predictions to understand cell states and cell state transitions in human induced pluripotent stem cell models. As a division within the Allen Institute, the Allen Institute for Cell Science uses a team-oriented approach, focusing on accelerating foundational research, developing standards and models, and cultivating new ideas to make a transformational impact on science.
The Allen Institute for Cell Science seeks a collaborative Scientist I to support computational analysis of single-cell RNA-seq datasets in projects focused on cell-state transitions during tissue morphogenesis in human iPSC-derived 3D culture systems. This role is well suited to a scientist with strong biological grounding, quantitative skills, and an interest in using data analysis to generate clear biological insight.
The Scientist I will primarily analyze single-cell RNA-seq datasets, develop reproducible workflows and visualizations, and collaborate closely with experimental and computational colleagues to support biological discovery in human iPSC-derived 3D culture systems.
We believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Please submit a resume and cover letter to be considered for this role.
Essential functions
  • Perform analysis of single-cell RNA-seq datasets to characterize cell states, state transitions, and biological heterogeneity in human iPSC-derived 3D culture systems
  • Develop reproducible analysis workflows, code, and visualizations using sound data-analysis practices
  • Build and maintain R Shiny applications and related outputs to support data exploration and internal scientific decision-making
  • Collaborate with experimental and computational colleagues to interpret biological findings from data and align analysis plans with project goals, sample design, and metadata needs
  • Support data organization, documentation, and version control to enable effective collaboration and reuse
  • Stay current with methods and literature in single-cell genomics
  • Communicate findings clearly through presentations, figures, documentation, and manuscript contributions

Required Education and Experience
  • PhD in cell biology, developmental biology, stem cell biology, computational biology, bioengineering, biophysics, or a related field, or equivalent combination of education and experience
  • Experience analyzing single-cell RNA-seq datasets
  • Proficiency in R and/or Python for biological data analysis
  • Experience developing reproducible analysis workflows and clear data visualizations

Preferred Education & Experience
  • Proficiency in Linux-based computing environments and version control tools such as Git
  • Ability to build interactive data-exploration applications, such as R Shiny apps
  • Background in developmental biology, stem cell biology, morphogenesis, or cell-state transitions
  • Experience working with iPSC-derived model systems or 3D cell culture systems
  • Understanding of wet-lab assay design considerations and practical limitations of single-cell or spatial experiments
  • Knowledge of spatial biology approaches, including spatial transcriptomics and/or multiplexed protein imaging
  • Ability to work effectively on interdisciplinary projects with experimental and computational collaborators
  • Strong organizational, written, and verbal communication skills
  • Publication record demonstrating contribution to single-cell or related biological data analysis

Physical Demands
  • Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with equipment.

Position Type/Expected Hours of Work
  • This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 700 Dexter Ave N., with the flexibility to work remotely on a limited basis

Annualized Salary Range
  • $86,150 - $106,650*

* Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Benefits
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities

Apply