ZipRecruiter

Log In

1

Structural Bioinformatics Jobs (NOW HIRING)

Astera

Scientist - Computational Biophysics

Emeryville, CA · On-site

$100K - $180K/yr

Contribute to the broader diffUSE infrastructure, helping establish community-wide standards and tools for dynamic structural biology Required Skills and Qualifications: * PhD in bioinformatics ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsBioinformatics Scientist JobsStructural Bioinformatics Jobs

Structural Bioinformatics information

See salary details

$16

$30

$47

How much do structural bioinformatics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for structural bioinformatics in the United States is $30.04, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $34.62 per hour, depending on experience, location, and employer.

What is structural bioinformatics?

A Structural Bioinformatics job involves applying computational techniques to analyze and predict the three-dimensional structures of biological macromolecules, such as proteins, DNA, and RNA. Professionals in this field develop algorithms, use molecular modeling software, and analyze structural data from experiments like X-ray crystallography and cryo-EM. Their work helps in drug discovery, protein engineering, and understanding biomolecular functions. Structural bioinformaticians often collaborate with biologists, chemists, and data scientists to interpret structural data and derive meaningful biological insights.

What does a structural bioinformatics professional do?

As a Structural Bioinformatics professional, your daily responsibilities often include analyzing protein or nucleic acid structures, developing computational models, and interpreting experimental data in collaboration with laboratory scientists. You may regularly use molecular modeling tools and scripting languages to visualize, predict, or simulate biomolecular interactions. Additionally, you’ll participate in research meetings, contribute to scholarly publications, and collaborate closely with cross-functional teams, such as computational chemists, biologists, or pharmaceutical researchers. The role offers a dynamic blend of independent analytical work and team-based problem solving, making it ideal for those who enjoy both technical challenges and collaborative research environments.

What are the key skills and qualifications needed for structural bioinformatics?

To thrive in Structural Bioinformatics, candidates typically need a solid background in molecular biology, computational modeling, and advanced data analysis, often supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as PyMOL, Chimera, molecular dynamics software, and scripting languages like Python or R is highly beneficial. Strong problem-solving abilities, attention to detail, and collaborative communication skills help professionals stand out in multidisciplinary research and development teams. These capabilities are crucial for accurately modeling biomolecular structures, interpreting complex datasets, and driving innovative discoveries in areas like drug design and protein engineering.

More about Structural Bioinformatics jobs

What cities are hiring for Structural Bioinformatics jobs?

Cities with the most Structural Bioinformatics job openings:

What are the most commonly searched types of Structural Bioinformatics jobs?

The most popular types of Structural Bioinformatics jobs are:

What states have the most Structural Bioinformatics jobs?

States with the most job openings for Structural Bioinformatics jobs include:

What job categories do people searching Structural Bioinformatics jobs look for?

The top searched job categories for Structural Bioinformatics jobs are:

Structural Bioinformatics jobs near you
Infographic showing various Structural Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $62,479 per year, or $30 per hour.

Senior Scientist I, Computational Biology

Jobtailor

San Carlos, CA • On-site

$150 - $200/hr

Other

Posted 2 days ago

New

Job description

Analyze and critically interpret diverse biological datasets, including next-generation, long-read, single-cell, and antibody repertoire sequencing data
Provide computational expertise across research teams to address bioinformatics and computational biology needs
Independently lead computational research and technology development projects from defining scientific questions and strategy through analysis, interpretation, and experimental validation
Apply machine learning approaches to biological datasets, including predictive modeling and modern deep learning approaches for biological sequences
Evaluate and apply protein language models and other biological foundation models to antibody discovery and development
Develop robust, reproducible computational workflows for processing, analyzing, integrating, and visualizing biological data
Collaborate with computational and experimental scientists to design studies, interpret results, troubleshoot unexpected findings, and guide subsequent experiments
Communicate project plans, progress, challenges, results, and recommendations to collaborators and stakeholders
Support antibody therapeutics discovery, technology development, and machine learning efforts at GigaGen

Requirements
  • PhD or Master's degree with significant relevant experience in Bioinformatics, Computational Biology, Genomics, Biology, Immunology, or a related discipline
  • A minimum of 5+ years of experience
  • Prior industry experience is preferred
  • Strong experience analyzing next-generation sequencing datasets and developing bioinformatics workflows
  • Strong proficiency in Python and/or R and in a Unix/Linux command-line environment, including shell scripting and common bioinformatics tools
  • Strong quantitative reasoning, statistical analysis, data visualization, and scientific interpretation skills
  • Experience applying machine learning to biological data, including supervised learning, model training and evaluation, and interpretation of model performance
  • Experience with protein language models, sequence embeddings, fine-tuning, and other modern approaches for modeling biological sequences
  • Experience or interest in applying computational approaches across diverse areas of drug discovery and technology development, such as target and antibody discovery, structural biology, proteomics, and high-throughput screening
  • Demonstrated ability to independently formulate computational approaches, critically evaluate and validate results, troubleshoot problems, and drive projects to completion with strong attention to data quality and reproducibility
  • Excellent communication and collaboration skills, including the ability to work effectively with experimental and multidisciplinary teams, manage multiple priorities, and proactively communicate progress, timelines, and challenges
  • Ability to frequently drive to site locations with occasional travel within the United States
Core Competencies

Expertise in Bioinformatics and Computational Biology with a strong focus on analyzing next-generation sequencing datasets and developing robust computational workflows. Proficient in applying machine learning techniques and protein language models to drive antibody discovery and technology development.

Highest-signal resume keywords
  • Bioinformatics Workflow Development
  • Next-Generation Sequencing Analysis
  • Machine Learning Application
  • Python and R Proficiency
  • Statistical Analysis and Data Visualization
ATS Optimization KeywordsHard Skills
  • Bioinformatics
  • Computational Biology
  • Next-Generation Sequencing
  • Machine Learning
  • Statistical Analysis
  • Data Visualization
  • Protein Language Models
  • Unix/Linux Command-Line
  • Shell Scripting
  • Predictive Modeling
Soft Skills
  • Excellent Communication
  • Collaboration Skills
  • Problem-Solving
  • Project Management
  • Attention to Detail
Certifications & Qualifications
  • PhD or Master's Degree in Relevant Discipline
Industry Keywords
  • Genomics
  • Immunology
  • Antibody Discovery
  • Drug Discovery
  • Structural Biology
  • Proteomics
  • High-Throughput Screening
#J-18808-Ljbffr

Apply