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Vice President Computational Structural Biology Jobs

Astera

Scientist - Computational Biophysics

Emeryville, CA · On-site

$100K - $180K/yr

... computational models, and global infrastructure needed to capture molecular motion at scale ... Our goal is to establish dynamic structural biology as a foundational pillar of modern science, as ...

UNC-Chapel Hill

Open Rank

Chapel Hill, NC · On-site

... computational neuroscience, structural biology, and molecular pharmacology to advance precision ... The Executive Vice Chancellor & Provost office will not be able to provide specific updates ...

Latent Labs

Computational Protein Designer

San Francisco, CA · On-site

$24.25 - $29.50/hr

Analyze protein design problems based on functional requirements, biochemistry, structural biology ... Capture bioengineering learnings and feedback to our machine learning unit, and vice versa * Foster ...

Syner-G

Vice President, Biologics

Seattle, WA · Remote

This is a dual-mandate role: the VP will anchor our biologics delivery capability in the West Coast market and serve as the primary driver of client development and market credibility in that ...

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Vice President Computational Structural Biology information

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$68.5K

$155.8K

$264K

How much do vice president computational structural biology jobs pay per year?

As of Aug 21, 2026, the average yearly pay for vice president computational structural biology in the United States is $155,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $185,000.00 per year, depending on experience, location, and employer.

What does a vice president computational structural biology do?

A Vice President of Computational Structural Biology leads teams that use computer-based methods to analyze and predict the structures of biological molecules such as proteins and nucleic acids. They oversee research projects, manage interdisciplinary teams, and develop strategies that leverage computational modeling and simulations to advance drug discovery or biotechnology initiatives. The role typically involves collaborating with other scientific leaders, setting research priorities, securing funding, and ensuring the organization stays at the forefront of technological and scientific innovation in structural biology.

How does a vice president computational structural biology typically contribute to cross-functional drug discovery teams?

As a Vice President of Computational Structural Biology, you play a pivotal role in bridging computational insights with experimental biology and chemistry teams. You are responsible for guiding the integration of structural modeling, bioinformatics, and molecular simulations into drug discovery pipelines, ensuring that computational data directly informs target validation and lead optimization. Regular collaboration with medicinal chemists, biologists, and data scientists is essential, requiring strong communication and leadership skills to translate complex computational findings into actionable strategies. This cross-functional interaction not only accelerates project timelines but also fosters innovation across departments.

What are the key skills and qualifications needed to thrive as a vice president computational structural biology, and why are they important?

To thrive as a Vice President of Computational Structural Biology, you need deep expertise in structural biology, computational modeling, and drug discovery, usually backed by a Ph.D. and significant industry or academic leadership experience. Familiarity with molecular modeling software (such as Rosetta, Schrödinger, or MOE), advanced data analysis tools, and experience managing computational infrastructure are essential. Strategic vision, cross-functional leadership, and strong communication skills make a candidate stand out in this senior role. These capabilities are crucial for driving scientific innovation, guiding multidisciplinary teams, and achieving organizational goals in a highly technical and competitive field.

What is the difference between Vice President Computational Structural Biology vs Computational Structural Biologist?

AspectVice President Computational Structural BiologyComputational Structural Biologist
CredentialsAdvanced degrees (PhD), extensive experience, leadership skillsPhD or Master's in relevant field, specialized technical skills
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationResearch labs, biotech/pharma companies, academic settings
Employer & Industry UsageBiotech, pharmaceutical companies, research institutionsResearch teams, biotech firms, academia
Search & Comparison IntentLeadership roles, strategic responsibilitiesTechnical expertise, research contributions

The Vice President Computational Structural Biology typically holds a leadership position with strategic responsibilities, overseeing teams and projects, while a Computational Structural Biologist focuses on technical research and data analysis. Both roles require advanced degrees, but the VP role emphasizes management and strategic planning within the industry.

What cities are hiring for Vice President Computational Structural Biology jobs?

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What are the most commonly searched types of Computational Structural Biology jobs?

The most popular types of Computational Structural Biology jobs are:

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Vice President Computational Structural Biology jobs near you
Infographic showing various Vice President Computational Structural Biology job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $155,780 per year, or $74.9 per hour.

Scientist - Computational Biophysics

Astera

Emeryville, CA • On-site

$100K - $180K/yr

Full-time

Re-posted 14 days ago

Job description

About Astera:
Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.
Unlike traditional non-profit research organizations, projects supported by Astera operate like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming here.
About the Role:
We are seeking a scientist to join the diffUSE Project, which focuses on developing next-generation protein representations that bridge dynamic structural biology to downstream functional applications. The diffUSE Project is an ambitious initiative designed to advance our understanding of protein dynamics by building the experimental methods, computational models, and global infrastructure needed to capture molecular motion at scale. Our goal is to establish dynamic structural biology as a foundational pillar of modern science, as transformative and indispensable as the Protein Data Bank has been for static structures.
In this role, you will help build ensemble-aware protein representations and/or metrics to enable the integration with other inputs such as protein language model (PLM), ligand binding data, mutational data, and/or functional information. You will design and maintain large-scale bioinformatic pipelines, manage complex datasets, develop metrics for dynamics and/or fine-tune or architect ML models to capture sequence-structure-function relationships. A key part of the role involves synthesizing diverse data sources to improve biological relevance. You will work closely with experimental collaborators to ground computational insights in real biological systems.
Key Responsibilities:
  • Build ensemble-aware protein representations that integrate PLM and LLM embeddings with experimentally derived structural heterogeneity for functional prediction
  • Design, develop, and maintain large-scale bioinformatic pipelines capable of processing and managing complex, high-dimensional datasets
  • Fine-tune or architect ML models to capture sequence-structure-function relationships, with a focus on dynamic and conformational features
  • Synthesize diverse data sources spanning evolutionary history, binding affinity, allostery, and functional annotations to improve model performance and biological relevance
  • Collaborate closely with experimental partners to ground computational representations in real biological measurements and ensure models are continuously refined against experimental ground truth
  • Contribute to the broader diffUSE infrastructure, helping establish community-wide standards and tools for dynamic structural biology

Required Skills and Qualifications:
  • PhD in bioinformatics, computational biology, machine learning, or a related field.
  • Strong understanding of protein structure and function.
  • Demonstrated experience building large bioinformatic pipelines and managing high-dimensional datasets.
  • Proficiency in fine-tuning or modifying ML models (e.g., transformer-based architectures).
  • Familiarity with protein language models (ESM, AlphaFold, etc.) is a plus.
  • Collaborative, team-oriented mindset with the ability to drive research questions from conception to execution.

Compensation
Commensurate with experience.
  • Benefits summary

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