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Postdoc Single Cell Rna Sequencing Analysis Jobs in Washington

Umd

Postdoctoral Associate

College Park, MD

$75K - $80K/yr

... single-cell context, though projects related to long-read RNA-sequencing and to foundational ... Experience with handling and analyzing large genomics datasets, as well as experience in developing ...

Howard

Research Assistant

Washington, DC · On-site

$40K - $47K/yr

... RNA-seq datasets and collaborating with lab members to model complex gene regulation in single-cell ... seq sequencing protocol. Conducting computational analysis of published and internal ...

Howard University

CZI Post Doctoral Fellow

Washington, DC · On-site

$60K - $70K/yr

... Sanger sequencing, and single-nucleotide polymorphism (SNP) genotyping). * Analyzing data ... Like other postdoctoral positions, the typical duration of a postdoctoral position in genomics and ...

Howard

Postdoctoral Fellow

Washington, DC

$53K/yr

The Postdoctoral Fellow or Research Associate will be responsible for conducting experiments, data ... Perform PCR and RT-PCR, western blotting, mitochondrial analyses, mammalian cell culture, treatment ...

Howard University

Postdoctoral Fellow

Washington, DC · On-site

$53K/yr

The Postdoctoral Fellow or Research Associate will be responsible for conducting experiments, data ... Perform PCR and RT-PCR, western blotting, mitochondrial analyses, mammalian cell culture, treatment ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

... analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and ... NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

... analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and ... NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies ...

Axle

Bioinformatics Scientist

Bethesda, MD

... analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and ... NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies ...

Guidehouse

Molecular Biologist

Bethesda, MD · On-site

$85K - $141K/yr

Research Analyst Travel Required: None Clearance Required: Ability to Obtain Public Trust We are ... Generation Sequencing (NGS), cell separation from blood and bone marrow, DNA/RNA isolation ...

New

Umd

Postdoctoral Associate

College Park, MD · On-site

$50.30K - $176.21K/yr

... to fill a Postdoctoral Associate position with focus on understanding how preharvest and ... Conducting fruit transcriptomics (RNA-seq) and targeted gene expression analysis (qRT-PCR). 4.

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Postdoc Single Cell Rna Sequencing Analysis information

What are the key skills and qualifications needed to thrive as a Postdoc in Single Cell RNA Sequencing Analysis, and why are they important?

To thrive as a Postdoc in Single Cell RNA Sequencing Analysis, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a PhD in a relevant field. Proficiency with computational tools such as R, Python, and specialized single-cell analysis platforms (e.g., Seurat, Scanpy), as well as experience with data visualization and next-generation sequencing, is essential. Strong problem-solving abilities, effective communication, and collaboration skills help distinguish top candidates in interdisciplinary research environments. These skills enable accurate data interpretation, drive innovation, and support impactful scientific discoveries in complex biological systems.

What are some common challenges faced by postdocs working in single cell RNA sequencing analysis, and how can they be addressed?

Postdocs in single cell RNA sequencing analysis often encounter challenges such as managing large and complex datasets, integrating multi-omic data, and staying current with rapidly evolving bioinformatics tools. Collaborating closely with wet lab scientists and computational biologists is essential to interpret results accurately and to troubleshoot technical issues. Building strong programming and statistical skills, as well as actively participating in lab meetings and seminars, can help address these challenges and contribute to both personal growth and successful project outcomes.

What does a Postdoc in Single Cell RNA Sequencing Analysis do?

A Postdoc in Single Cell RNA Sequencing (scRNA-seq) Analysis specializes in analyzing gene expression data from individual cells. Their main responsibilities include processing raw sequencing data, performing quality control, identifying cell types or states, and interpreting biological insights from the data. They often develop or apply computational methods to handle large datasets, collaborate with experimental biologists, and present findings through publications or conferences. The ultimate goal is to understand cellular heterogeneity and uncover new biological mechanisms at the single-cell level.

What is the difference between Postdoc Single Cell Rna Sequencing Analysis vs Postdoc Bioinformatics?

AspectPostdoc Single Cell Rna Sequencing AnalysisPostdoc Bioinformatics
Required CredentialsPhD in Biology, Genetics, or related field; experience in sequencing data analysisPhD in Computer Science, Bioinformatics, or related field; programming skills essential
Work EnvironmentResearch labs focusing on genomics and cell biologyResearch institutions, biotech companies, or academic labs with computational focus
Employer & Industry UsageBiotech, academic research, pharmaceutical companiesBiotech, healthcare, academic research, industry R&D

Postdoc Single Cell Rna Sequencing Analysis specialists focus on analyzing single-cell transcriptomics data, often requiring biological expertise and lab experience. In contrast, Postdoc Bioinformatics roles emphasize computational skills and software development to interpret large datasets across various biological contexts. Both roles are vital in genomics research but differ in their primary focus and skill set.

What are popular job titles related to Postdoc Single Cell Rna Sequencing Analysis jobs in Washington? For Postdoc Single Cell Rna Sequencing Analysis jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Postdoc Single Cell Rna Sequencing Analysis jobs in Washington look for? The top searched job categories for Postdoc Single Cell Rna Sequencing Analysis jobs in Washington are:
Postdoc Single Cell Rna Sequencing Analysis jobs near you
Senior Data Scientist, Bioinformatics

Senior Data Scientist, Bioinformatics

Precigen, Inc

Germantown, MD • On-site

$85K - $120K/yr

Full-time

Posted 25 days ago

Job description

GENERAL DESCRIPTION:

We are seeking a proficient Senior Data Scientist within Precigen’s Bioinformatics team who will be responsible for sequence data analysis, statistical analysis, and data mining. This individual will maintain and develop analysis pipelines, run data analyses, visualize results and communicate them to lab scientists and principal investigators. Extensive experience with DNA and RNA sequencing analysis and strong knowledge of statistical methods, coupled with a solid understanding of foundational biological principles, will be required. You will join a transnational team working at the intersection of biology, data science, and software development.

DUTIES AND RESPONSIBILITIES:

  • Perform computational analysis of DNA and RNA sequences.
  • Perform statistical analyses on experimental data from molecular and cell biology, immunology and oncology.
  • Mine clinical data with machine learning methods.
  • Perform computational analysis of protein sequence data.
  • Visualize and communicate analysis results to biologists.
  • Contribute to scientific writing.


EDUCATION AND EXPERIENCE:

  • PhD, MS, or equivalent experience in molecular biology, biochemistry, computational biology, bioinformatics or a related discipline.
  • Five or more years of experience with computational DNA analysis (insertion analysis, variant analysis), bulk and single cell RNA analysis, expression analysis, and pathway analysis.
  • Familiarity with bioinformatics concepts and standard tools for sequence data handling, sequence alignment, and differential expression analysis.
  • Good knowledge of statistics.
  • Familiarity with the Unix/Linux command line.
  • Strong programming skills in R and Perl.
  • Extensive experience with data analysis and visualization.
  • Knowledge of and experience with machine learning concepts and methods.
  • Experience with protein sequence analysis from mass spectrometry data.
  • Familiarity with AI-based tools is appreciated.

DESIRED KEY COMPETENCIES:

  • Capable of adapting to rapidly changing and developing requirements.
  • The candidate can engage effectively with scientists to understand the design, rationale, and scientific context of lab experiments, ensuring that data analyses align with experimental goals.
  • They can clearly communicate the methods, reasoning, results, and interpretations of their analyses within the Bioinformatics team and across research groups.
  • Ready to seek, accept, and provide feedback and advice from and to team colleagues and management.
  • Communicates issues and problems openly and early.
  • Exhibits high performance both independently and in a team setting.
  • Delivers work on schedule and within agreed timeframes.
  • Is comfortable with communicating predominantly via electronic means.
  • Effectively conveys information in a clear, structured manner.
  • Can interact proficiently in an international and culturally diverse environment where not everyone is a native speaker of English.
  • Sufficient language skills in German to discuss professional matters are a plus.


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