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Remote Bioinformatics Industry Jobs (NOW HIRING)

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... You will bring a strategic, industry-wide perspective on the field - staying ahead of where it is ...

PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative ... Remote USA $163,200-$220,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration ... Life Science Industry experience, either as a Scientific Solution Architect, technical application ...

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Remote Bioinformatics Industry information

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$59.5K

$94.5K

$149.5K

How much do remote bioinformatics industry jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote bioinformatics industry in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Bioinformatics Industry vs Remote Data Scientist?

AspectRemote Bioinformatics IndustryRemote Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; sometimes certifications in genomics or bioinformatics toolsBachelor's or Master's in Computer Science, Statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentResearch labs, biotech companies, healthcare institutions, often collaborative and project-basedTech companies, finance, healthcare, with focus on data modeling and analysis, often remote and flexible
Employer & Industry UsagePrimarily in biotech, healthcare, academic researchAcross tech, finance, healthcare, and consulting sectors

Remote Bioinformatics Industry roles focus on biological data analysis, requiring biology-related credentials, while Remote Data Scientist roles emphasize statistical and programming skills across various sectors. Both roles are often remote, but their industry applications and required expertise differ significantly.

More about Remote Bioinformatics Industry jobs
What cities are hiring for Remote Bioinformatics Industry jobs? Cities with the most Remote Bioinformatics Industry job openings:
What are the most commonly searched types of Bioinformatics Industry jobs? The most popular types of Bioinformatics Industry jobs are:
What states have the most Remote Bioinformatics Industry jobs? States with the most job openings for Remote Bioinformatics Industry jobs include:
Infographic showing various Remote Bioinformatics Industry job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Director, Computational Biology

Ionis

Carlsbad, CA • On-site, Remote

Full-time

Posted 1 hour 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.