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Rna Seq Remote Jobs (NOW HIRING)

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... Experience in multi-omics analyses and integration (including RNA-seq, ATAC-seq - bulk, single cell ...

Bioinformatics Engineer

$120K - $155K/yr

Process and QC high-dimensional datasets to expand internal databases (e.g., RNA-seq, scRNA-seq ... This role could be based at our Hayward, CA location or can be remote. The anticipated salary range ...

Bioinformatics Engineer

$120K - $155K/yr

Process and QC high-dimensional datasets to expand internal databases (e.g., RNA-seq, scRNA-seq ... This role could be based at our Hayward, CA location or can be remote. The anticipated salary range ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... RNA-Seq, single-cell RNA-Seq (scRNA-Seq), ChIP-Seq, DNA-Seq, ATAC-Seq, and Hi-C. Support the ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... example, RNA-seq,scRNA-seq,ChIP-seq, DNA-seq, ATAC-seq, and Hi-C). * Advise on the selection ...

... RNA-Seq; bulk and single-cell) and microarrays. * Work with wet labs and clinical teams to plan and design experiments to generate such data, and analyze this data. * Communicate effectively with ...

RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) using ... Hybrid - remote + on-site Additional Information All your information will be kept confidential ...

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Rna Seq Remote information

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$203.5K

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How much do rna seq remote jobs pay per year?

As of Jun 14, 2026, the average yearly pay for rna seq remote in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote RNA-Seq analysts and how can they be addressed?

Remote RNA-Seq analysts often encounter challenges such as accessing large datasets, ensuring data security, and maintaining efficient communication with collaborators. To address these, it’s important to utilize secure cloud-based platforms for data storage and analysis, stay updated with the latest bioinformatics tools, and schedule regular virtual meetings with the research team. Clear documentation and version control systems also help streamline workflow and facilitate collaboration across different time zones.

What does an RNA-Seq Remote job involve?

An RNA-Seq Remote job typically involves analyzing RNA sequencing data to study gene expression and transcriptomics from a remote location. Professionals in this role use bioinformatics tools and programming languages like R or Python to process raw sequencing data, perform quality control, and interpret biological results. They often collaborate with research teams, prepare reports, and may help design experiments or pipelines for RNA-Seq projects. Working remotely, they rely heavily on cloud computing platforms and secure data sharing tools to access and analyze large datasets.

What is the difference between Rna Seq Remote vs Rna Sequencing Technician?

AspectRna Seq RemoteRna Sequencing Technician
CredentialsBachelor's degree in biology, genetics, or related field; experience with RNA sequencingAssociate's or Bachelor's degree; laboratory experience preferred
Work EnvironmentPrimarily remote, collaborating with labs and bioinformatics teamsLaboratory setting, performing sequencing and sample preparation
Industry UsageBiotech, pharmaceutical, research institutionsResearch labs, biotech companies, academic institutions
Search & ComparisonOften searched by those seeking remote bioinformatics or sequencing rolesTypically searched by lab technicians or sequencing specialists

Rna Seq Remote roles focus on bioinformatics and data analysis from a remote location, requiring programming skills and experience with RNA sequencing data. Rna Sequencing Technicians perform laboratory-based sample preparation and sequencing in a lab setting. Both roles are integral to RNA sequencing projects but differ mainly in work environment and skill requirements.

What are the key skills and qualifications needed to thrive as an RNA-Seq Analyst working remotely, and why are they important?

To thrive as an RNA-Seq Analyst in a remote setting, you need a solid background in molecular biology, bioinformatics, and statistics, typically supported by a relevant degree or equivalent experience. Proficiency with tools such as R, Python, Linux command line, and specialized software like STAR, DESeq2, or edgeR is commonly required, along with experience using workflow management systems. Strong analytical thinking, attention to detail, and effective communication skills are essential for interpreting data and collaborating with distributed teams. These competencies ensure the accurate analysis of complex RNA sequencing data and enable successful contributions to research projects from a remote environment.
More about Rna Seq Remote jobs
What cities are hiring for Rna Seq Remote jobs? Cities with the most Rna Seq Remote job openings:
What are the most commonly searched types of Rna Seq jobs? The most popular types of Rna Seq jobs are:
What states have the most Rna Seq Remote jobs? States with the most job openings for Rna Seq Remote jobs include:
Director, Computational Biology

Director, Computational Biology

Ionis Pharmaceuticals

Carlsbad, CA • On-site, Remote

Full-time

Posted 13 days ago


Job description

Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for people with serious diseases. We’re pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs.  With multiple marketed medicines and a leading pipeline in neurology, cardiology and select areas of high patient needs, we continue to drive innovation in RNA therapies in addition to advancing new approaches in gene editing to provide greater value to patients and are well positioned financially to deliver on our strategic goals.

At Ionis, we pride ourselves on cultivating a challenging, motivating and rewarding environment that fosters innovation and scientific excellence. We know that our success is a direct result of the exceptional talents and dedication of our employees. 

With an unprecedented opportunity to change the course of human health, we look to add diverse individuals, skill sets and perspectives to our exceptional team. We continue to invest time, money and energy into making our onsite, hybrid and remote work environments a place where solid and lasting relationships are built and where our culture and employees can thrive. 

We’re building on our rich history, and we believe our greatest achievements are ahead of us. If you’re passionate about the opportunity to have meaningful impact on patients in need, we invite you to apply and join us. Experience and contribute to our unique culture while you develop and expand your career!

DIRECTOR, COMPUTATIONAL BIOLOGY

SUMMARY:

We are seeking an exceptional computational biologist to lead target identification and multi-omics research efforts. In this role, you will drive the use of high-throughput, transcriptomics, epigenomics, proteomics, and functional genomics data to identify and prioritize novel therapeutic targets. You will bring a strategic, industry-wide perspective on the field — staying ahead of where it is moving and translating that into a differentiated approach which will align with Ionis's RNA-targeting and oligonucleotide platforms. You will lead a team of computational biologists, shape analytical strategy, and partner tightly with biology, human genetics, and drug discovery colleagues to bring forward the next wave of therapeutic targets.

RESPONSIBILITIES:

  • Lead the development of a target identification and prioritization pipeline using multi-omics data (transcriptomics, proteomics, metabolomics, chromatin conformation, and functional genomics – e.g. CRISPR screens).
  • Define internal standards for validation of target discovery methods, including benchmarking against orthogonal datasets.
  • Apply rigorous model-to-human translation, evaluating cross-species conservation, model fidelity, and translational risk when nominating and de-risking targets.
  • Partner with the Human Genetics group to integrate genetic evidence into target identification and prioritization.
  • Propose targets with clear mechanistic hypotheses, building evidence packages that draw on orthogonal data and analyses.
  • Assess data quality, batch effects, and biological confounders throughout the analytical cycle – statistical rigor and reproducibility are paramount.
  • Develop and maintain scalable, reproducible analytical pipelines, including human-in-the-loop-AI workflow as required. Use best practices in software engineering and ensure appropriate data governance and infrastructure for large-scale omics data.
  • Lead or contribute to cross-functional target assessment documents and portfolio decision-making meetings with clear, evidence-based scientific recommendations.
  • Lead a team of computational biologists fostering a culture of scientific rigor, reproducibility, and continuous learning.
  • Maintain working knowledge of the current literature on computational biology and stay current with novel methodologies, including applicable advances in AI.

REQUIREMENTS: 

  • PhD in computational biology, bioinformatics, genomics, systems biology, or a closely related quantitative field and 8+ years of relevant experience required.
  • Proven experience in target identification and validation using multi-omics approaches in a pharma or biotech.
  • Experience in multi-omics analyses and integration (including RNA-seq, ATAC-seq – bulk, single cell – spatial transcriptomics, proteomics, metabolomics, ChIP-seq and similar, long read RNA-seq, small RNA-seq, and functional genomics perturbation screens).
  • Methodological breadth across comp-bio modeling spectrum – classical and hierarchical statistics, causal inference, Bayesian modeling, network-based and mechanistic approaches, and modern deep learning – with hands-on depth in biological foundation models (fine-tuning, interpretability, efficient deployment) and the judgment to match method to biological question and data.
  • Proficiency in Python and/or R, plus working knowledge of Bash and Docker is required, proficiency or familiarity with Nextflow workflows and AWS cloud stack strongly preferred.
  • Knowledge of human genetic analyses methods (e.g. GWAS, rare variant analyses, QTL colocalization etc.) is preferred.
  • Experience directly managing PhD-level scientists is required.
  • Excellent communication skills across audiences, with a track record of influencing cross-functional teams (including non-computational partners) and translating complex computational findings into clear, actionable recommendations that inform senior leadership on portfolio and target decisions.

Please visit our website, http://www.ionis.com for more information about Ionis and to apply for this position; reference requisition # IONIS004015

Ionis offers an excellent benefits package! Follow this link for more details: Ionis Benefits

Full Benefits Link: https://ionis.com/careers#:~:text=Highly%20competitive%20benefits

The pay scale for this position is $200,385 to $250,332

NO PHONE CALLS PLEASE. PRINCIPALS ONLY.

Ionis Pharmaceuticals, Inc. and all its subsidiaries are proud to be EEO employers.