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Remote Computational Structural Biology Jobs (NOW HIRING)

Senior Director, AIRx Medicinal Chemistry

Boston, MA ยท On-site +1

$212K - $333K/yr

Strong SAR intuition, decisiveness, and the confidence to challenge computational outputs are as ... Interpret structural biology data (X-ray, cryo-EM) in partnership with Structural Biology contacts ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... structural proteomics, or systems-level analysis of molecular and cellular biology. Research may ...

$200K - $450K/yr

... structural biology, metabolism, genomics, proteomics and computational biology. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing ...

San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our ... PhD (or equivalent experience) in Computational Chemistry, Structural Biology, Biophysics, Physics ...

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Remote Computational Structural Biology information

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How much do remote computational structural biology jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote computational structural biology in the United States is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $76.20 per hour, depending on experience, location, and employer.

How does remote work impact collaboration and project management in computational structural biology teams?

Remote computational structural biology teams often rely on digital communication tools and shared data platforms to collaborate on complex projects. While physical distance can pose challenges for real-time discussions and problem-solving, most teams use regular video meetings, collaborative software, and cloud-based resources to coordinate efforts and share findings. Clear documentation and version control are crucial for managing research data and ensuring reproducibility. Team members typically specialize in different aspects, such as modeling, simulations, or data analysis, and work closely together despite being geographically dispersed. This structure allows for flexibility while maintaining high scientific standards and project momentum.

What are the key skills and qualifications needed to thrive as a Remote Computational Structural Biologist, and why are they important?

To thrive as a Remote Computational Structural Biologist, you need a strong background in structural biology, molecular modeling, and bioinformatics, typically supported by a Ph.D. or advanced degree in a related field. Proficiency with computational tools such as PyMOL, Rosetta, Chimera, and molecular dynamics software, as well as experience with programming languages like Python or R, is essential. Excellent problem-solving skills, attention to detail, and effective virtual communication are crucial soft skills for collaborating with interdisciplinary teams remotely. These competencies ensure accurate data analysis, innovative research contributions, and successful teamwork in a remote scientific environment.

What is remote computational structural biology?

Remote computational structural biology is a field where scientists use computer-based methods to study the structures and functions of biological macromolecules, such as proteins and nucleic acids, from a remote location. This discipline leverages advanced software, molecular modeling, and simulation techniques to analyze biological structures, often collaborating with experimental biologists online. Working remotely allows professionals to access powerful computing resources and databases, contribute to research projects, and interact with international teams without being physically present in a laboratory. It is commonly used in drug discovery, protein engineering, and understanding disease mechanisms.

What is the difference between Remote Computational Structural Biology vs Remote Bioinformatics Scientist?

AspectRemote Computational Structural BiologyRemote Bioinformatics Scientist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with structural modeling toolsDegrees in bioinformatics, biology, or computer science; familiarity with genomic data analysis
Work EnvironmentResearch labs, biotech companies, academic institutions; primarily computer-basedResearch institutions, healthcare, biotech; data analysis and software development
Industry UsagePharmaceuticals, academia, biotech firms focusing on protein structuresHealthcare, genomics, biotech firms analyzing biological data

Remote Computational Structural Biology focuses on modeling and analyzing 3D protein structures, requiring specialized knowledge in structural bioinformatics. In contrast, Remote Bioinformatics Scientists work with genomic and biological data, often involving sequence analysis and data interpretation. Both roles are essential in biotech and research industries but differ in their focus and technical skills.

More about Remote Computational Structural Biology jobs
What cities are hiring for Remote Computational Structural Biology jobs? Cities with the most Remote Computational Structural Biology job openings:
What are the most commonly searched types of Computational Structural Biology jobs? The most popular types of Computational Structural Biology jobs are:
What states have the most Remote Computational Structural Biology jobs? States with the most job openings for Remote Computational Structural Biology jobs include:
Infographic showing various Remote Computational Structural Biology job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $135,479 per year, or $65.1 per hour.
Director, Computational Biology

Director, Computational Biology

Ionis Pharmaceuticals

Boston, MA โ€ข On-site, Remote

Full-time

Re-posted 6 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. Weโ€™re pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs.ย  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.ย 

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.ย 

Weโ€™re building on our rich history, and we believe our greatest achievements are ahead of us. If youโ€™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 โ€” 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 โ€“ 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 โ€“ 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:ย 

  • 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 โ€“ bulk, single cell โ€“ 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 โ€“ classical and hierarchical statistics, causal inference, Bayesian modeling, network-based and mechanistic approaches, and modern deep learning โ€“ 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.