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Proteomics Remote Jobs (NOW HIRING)

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... In this role, you will drive the use of high-throughput, transcriptomics, epigenomics, proteomics ...

Researcher

Omaha, NE · On-site +1

$55.40K - $83.10K/yr

... by supervisor Remote/Telecommuting No remote/telecommuting opportunity Position Summary This ... Analytical Chemistry, Biochemistry, Proteomics, or related field Preferred Experience: Hand-on ...

$135K - $145K/yr

... US Remote - NYC Covaris , a PerkinElmer Company, develops, manufactures, and markets instruments, consumables, and reagents used in pre-analytical sample preparation for genomic and proteomic ...

Post Doctoral Fellow - Dr. Yan Sun

Atlanta, GA · On-site +1

$47.70K - $64.70K/yr

Postdoctoral position in genomic, epigenomic, metabolomic, proteomic, and multi-omics studies of ... Emory reserves the right to change remote work status with notice to employee. Emory is an equal ...

Post Doctoral Fellow - Dr. Yan Sun

Atlanta, GA · On-site +1

$47.70K - $64.70K/yr

Postdoctoral position in genomic, epigenomic, metabolomic, proteomic, and multi-omics studies of ... Emory reserves the right to change remote work status with notice to employee. Additional Details ...

... proteomic data. Apply classical machine learning and deep learning approaches to functional ... Fully remote work environment with flexible scheduling. High-trust, low-bureaucracy culture ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... transcriptomic, proteomic, metabolomic and lipidomic, epigenomic, interactomic and structural ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... proteomic, metabolomic/lipidomic, imaging-derived, single-cell, or multi-omics data ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... epigenomic, proteomic, metabolomic/lipidomic, and single-cell or multi-omics data. * Solid ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... proteomics, imaging, and bioinformatics. How to Apply Submit a single PDF containing: * Cover ...

$48.20K - $65.40K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Candidates must have a background in mass spectrometry-based proteomics, including protein ...

Technical Product Manager III

Brisbane, CA · Remote

$118.15K - $167.48K/yr

This role will be a Remote role, with onsite travel to our headquarters in Brisbane, California as ... Experience in building solutions with a focus on multiomics, NGS, or proteomics a plus. Benefits ...

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Proteomics Remote information

What are the key skills and qualifications needed to thrive as a Proteomics Remote Specialist, and why are they important?

To thrive as a Proteomics Remote Specialist, you need a strong background in biochemistry or molecular biology, experience with mass spectrometry, and often an advanced degree in a related field. Familiarity with data analysis platforms like MaxQuant, Proteome Discoverer, and bioinformatics tools is typically required, along with proficiency in remote collaboration software. Excellent organizational skills, attention to detail, and effective written communication are vital soft skills for managing projects and presenting complex data remotely. These abilities ensure accurate data interpretation, smooth remote teamwork, and successful delivery of proteomics research outcomes.

What are some unique challenges faced by remote proteomics professionals, and how can they be addressed?

Remote proteomics professionals often encounter challenges related to accessing laboratory equipment, coordinating sample handling, and maintaining effective collaboration with on-site teams. To address these, it is vital to establish clear communication channels, use collaborative project management tools, and schedule regular virtual check-ins with lab staff. Leveraging cloud-based data analysis platforms and ensuring robust data security measures can also help streamline workflow and maintain productivity while working remotely.

What is a Proteomics Remote job?

A Proteomics Remote job involves conducting research and analysis related to proteomics—the large-scale study of proteins—while working from a location outside of a traditional laboratory or office setting. These roles often include tasks like analyzing mass spectrometry data, managing bioinformatics pipelines, interpreting protein expression profiles, and collaborating with teams virtually. Remote proteomics professionals may work for academic institutions, biotech companies, or healthcare organizations. Strong skills in data analysis, computational biology, and communication are essential for success in these positions.
More about Proteomics Remote jobs
What cities are hiring for Proteomics Remote jobs? Cities with the most Proteomics Remote job openings:
What are the most commonly searched types of Proteomics jobs? The most popular types of Proteomics jobs are:
What states have the most Proteomics Remote jobs? States with the most job openings for Proteomics Remote jobs include:
Infographic showing various Proteomics Remote job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Director, Computational Biology

Ionis

Carlsbad, CA • On-site, Remote

Full-time

Posted 28 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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.