ZipRecruiter

Log In

1

Vice President Computational Structural Biology Jobs

Guidehouse

Biologist

Bethesda, MD · On-site

$85K - $141K/yr

D. in Structural Biology, Biochemistry, Biophysics, Computational Biology, or a closely related biomedical field; OR Master's degree with a minimum of FOUR (4) years of experience in structural ...

Guidehouse

Biologist

Bethesda, MD · On-site

$85K - $141K/yr

D. in Structural Biology, Biochemistry, Biophysics, Computational Biology, or a closely related biomedical field; OR Master's degree with a minimum of FOUR (4) years of experience in structural ...

next page

Showing results 1-20

All JobsVice President Computational Structural Biology Jobs

Vice President Computational Structural Biology information

See salary details

$68.5K

$155.8K

$264K

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

As of Aug 16, 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.

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 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.

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?

Cities with the most Vice President 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 Vice President Computational Structural Biology jobs?

States with the most job openings for Vice President Computational Structural Biology jobs include:

What job categories do people searching Vice President Computational Structural Biology jobs look for?

The top searched job categories for Vice President Computational Structural Biology jobs are:

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 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $155,780 per year, or $74.9 per hour.

Computational Biologics Design

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Posted 19 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

22nd of 86 rated pharmaceutical

Job description

Job Description

Role Description

Do you have expertise in, and passion for data science and AI? Would you like to play a pivotal role that impacts the delivery of novel biologics drugs for oncology, respiratory and cardiovascular diseases in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be for you!

The Biologics Engineering team is responsible for the discovery and optimisation of biological candidate drugs to support all therapy area drug discovery pipelines and for the development of in-house biologics discovery platforms and novel drug modalities to support future drug discovery efforts.

Central to this effort are the Biologics Augmented Biologics Design team who are building on existing technologies to advance learning from the large and complex data sets we generate and excitingly the team is growing to meet this challenge. This role provides the opportunity for a talented and motivated computational structural biologist.

Typical Accountabilities

  • Lead the in silico support on pipeline therapeutic projects in collaboration with AZ stakeholders

  • Work collaboratively with data and drug discovery scientists to establish structural analytics workflows for biologics discovery

  • Contribute to the development of an end-to-end data analysis capability within Biologics Engineering team as part of a cross-functional team

  • Drive innovative structural, generative & machine learning methods for the design and optimisation of biologic therapeutics

  • Participate in strategic external collaborations

  • Demonstrate effective communication to translate complex concepts to non-experts in internal and external scientific meetings

Must Have

PhD in relevant field (e.g. Structural Biology, Computer Science, Bioinformatics, Physics and Mathematics)and 2 years experience in Silico Design
Knowledge of computational structural biology and demonstrated application of data analysis methods
Experience with structural modelling platforms (e.g. Schrodinger, Rosetta etc)
Familiarity with antibody discovery & optimisation, protein structures
Skilled in applying generative AI, Machine learning or deep learning to design and optimise proteins
Strong, professional communication skills and excellent attention to detail, capable of developing good working relationships with diverse individuals
Experience working within a team environment
Acts with integrity and does the right thing

Desireable

  • Knowledge of FAIR data principles

  • Experience with the analysis of large structural, sequence and experimental datasets.

Date Posted

27-Jul-2026

Closing Date

20-Aug-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

What AstraZeneca employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply