1

Computational Structural Biology Jobs (NOW HIRING)

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 ...

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 ...

S. plus 10 years of experience in biochemistry, biophysics, computational biology, structural biology, or a closely related field * Deep expertise in computational protein engineering, including AI ...

next page

Showing results 1-20

Computational Structural Biology information

See salary details

$14

$41

$70

How much do computational structural biology jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computational structural biology in the United States is $41.13, according to ZipRecruiter salary data. Most workers in this role earn between $30.05 and $48.56 per hour, depending on experience, location, and employer.

What is computational structural biology?

Computational structural biology is a field that uses computer-based methods and simulations to study the three-dimensional structures of biological molecules, such as proteins and nucleic acids. Researchers use computational tools to predict molecular structures, analyze their dynamics, and understand how they interact with other biomolecules. This approach complements experimental techniques like X-ray crystallography and cryo-electron microscopy, helping scientists gain insights into biological function and design drugs or therapies. The field integrates knowledge from biology, chemistry, physics, and computer science.

What are the key skills and qualifications needed to thrive as a computational structural biologist?

To thrive as a Computational Structural Biologist, you need a solid background in structural biology, molecular modeling, and bioinformatics, typically supported by a PhD or relevant advanced degree. Proficiency in programming languages (such as Python or R), molecular visualization tools (like PyMOL or Chimera), and experience with structural databases are commonly required. Strong analytical thinking, collaboration, and communication skills help you interpret complex data and work effectively within multidisciplinary teams. These competencies are crucial for advancing scientific understanding and developing novel therapeutics in the field of structural biology.

What are some common challenges faced by professionals in computational structural biology when collaborating with experimental scientists?

One common challenge is effectively communicating complex computational findings to experimental colleagues who may not be familiar with certain modeling techniques. Additionally, aligning computational predictions with experimental data can require iterative discussions to ensure that models are biologically relevant and experimentally testable. Successful collaboration often relies on building mutual understanding of each team's methodologies and limitations, which fosters productive interdisciplinary research.
More about Computational Structural Biology jobs

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 Computational Structural Biology jobs?

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

Infographic showing various 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 $85,546 per year, or $41.1 per hour.

Computational Biologics Design

AstraZeneca

Gaithersburg, MD

Full-time

Posted 20 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