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Full Time Computational Structural Biology Jobs (NOW HIRING)

Goldbelt, Inc.

AI/Computational Biologist

Frederick, MD · On-site

$155K - $165K/yr

The AI/Computational Biologist will serve as a subject matter expert in applied Artificial ... Expert in analyzing structural biology and multi-omics (e.g., genomics, proteomics) data, provide ...

Guidehouse

Biologist

Bethesda, MD

$85K - $141K/yr

This is a full-time, on-site opportunity in Bethesda, MD. * Process and analyze structural datasets ... D. in Structural Biology, Biochemistry, Biophysics, Computational Biology, or a closely related ...

Guidehouse

Biologist

Bethesda, MD · On-site

$85K - $141K/yr

This is a full-time, on-site opportunity in Bethesda, MD. * Process and analyze structural datasets ... D. in Structural Biology, Biochemistry, Biophysics, Computational Biology, or a closely related ...

Battelle

Computational Biologist

Columbus, OH · On-site

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 ...

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Full Time Computational Structural Biology information

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$15

$23

$31

How much do full time computational structural biology jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for full time computational structural biology in the United States is $23.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $25.72 per hour, depending on experience, location, and employer.

What is the difference between Full Time Computational Structural Biology vs Computational Biologist?

AspectFull Time Computational Structural BiologyComputational Biologist
Required CredentialsTypically requires a PhD in structural biology, bioinformatics, or related fieldsUsually requires a PhD or Master's in biology, bioinformatics, or related disciplines
Work EnvironmentResearch labs, pharmaceutical companies, academic institutions focusing on protein structuresResearch institutions, biotech firms, academia working on biological data analysis
Industry UsageCommon in drug discovery, structural bioinformatics, and molecular modelingBroadly used across biological research, genomics, systems biology

Full Time Computational Structural Biology focuses specifically on analyzing and modeling the 3D structures of biological macromolecules, often requiring specialized knowledge in structural data. In contrast, Computational Biologists have a broader scope, working on various biological data types and systems. Both roles require advanced degrees and are integral to research and industry applications, but their focus areas and typical projects differ.

More about Full Time Computational Structural Biology jobs
What cities are hiring for Full Time Computational Structural Biology jobs? Cities with the most Full Time 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 Full Time Computational Structural Biology jobs? States with the most job openings for Full Time Computational Structural Biology jobs include:
What job categories do people searching Full Time Computational Structural Biology jobs look for? The top searched job categories for Full Time Computational Structural Biology jobs are:
Full Time Computational Structural Biology jobs near you
Infographic showing various Full Time Computational Structural Biology job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $48,717 per year, or $23.4 per hour.

Computational Biologics Design

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Posted 9 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

20th 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.

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