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Remote Computational Structural Biology Jobs (NOW HIRING)

Takeda

Director, Computational Biology

Boston, MA · On-site +1

The Director, Oncology Computational Biology will be a key scientific leader within the ... This position is currently classified as "hybrid" by Takeda's Hybrid and Remote Work policy Takeda ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

Your day to day includes working with biology data scientists to harden their notebooks and ... Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... biological structural data are encouraged to apply. A strong computational background is required. Expertise with PyTorch and torch-geometric, or equivalent technologies, is essential. Experience ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... biological structural data are encouraged to apply. A strong computational background is required. Expertise with PyTorch and torch-geometric, or equivalent technologies, is essential. Experience ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... biological structural data are encouraged to apply. A strong computational background is required. Expertise with PyTorch and torch-geometric, or equivalent technologies, is essential. Experience ...

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... DIRECTOR, COMPUTATIONAL BIOLOGY SUMMARY: We are seeking an exceptional computational biologist to ...

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Remote Computational Structural Biology information

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How much do remote computational structural biology jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote computational structural biology in the United States is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $76.20 per hour, depending on experience, location, and employer.

How does remote work impact collaboration and project management in computational structural biology teams?

Remote computational structural biology teams often rely on digital communication tools and shared data platforms to collaborate on complex projects. While physical distance can pose challenges for real-time discussions and problem-solving, most teams use regular video meetings, collaborative software, and cloud-based resources to coordinate efforts and share findings. Clear documentation and version control are crucial for managing research data and ensuring reproducibility. Team members typically specialize in different aspects, such as modeling, simulations, or data analysis, and work closely together despite being geographically dispersed. This structure allows for flexibility while maintaining high scientific standards and project momentum.

What are the key skills and qualifications needed to thrive as a Remote Computational Structural Biologist, and why are they important?

To thrive as a Remote Computational Structural Biologist, you need a strong background in structural biology, molecular modeling, and bioinformatics, typically supported by a Ph.D. or advanced degree in a related field. Proficiency with computational tools such as PyMOL, Rosetta, Chimera, and molecular dynamics software, as well as experience with programming languages like Python or R, is essential. Excellent problem-solving skills, attention to detail, and effective virtual communication are crucial soft skills for collaborating with interdisciplinary teams remotely. These competencies ensure accurate data analysis, innovative research contributions, and successful teamwork in a remote scientific environment.

What is remote computational structural biology?

Remote computational structural biology is a field where scientists use computer-based methods to study the structures and functions of biological macromolecules, such as proteins and nucleic acids, from a remote location. This discipline leverages advanced software, molecular modeling, and simulation techniques to analyze biological structures, often collaborating with experimental biologists online. Working remotely allows professionals to access powerful computing resources and databases, contribute to research projects, and interact with international teams without being physically present in a laboratory. It is commonly used in drug discovery, protein engineering, and understanding disease mechanisms.

What is the difference between Remote Computational Structural Biology vs Remote Bioinformatics Scientist?

AspectRemote Computational Structural BiologyRemote Bioinformatics Scientist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with structural modeling toolsDegrees in bioinformatics, biology, or computer science; familiarity with genomic data analysis
Work EnvironmentResearch labs, biotech companies, academic institutions; primarily computer-basedResearch institutions, healthcare, biotech; data analysis and software development
Industry UsagePharmaceuticals, academia, biotech firms focusing on protein structuresHealthcare, genomics, biotech firms analyzing biological data

Remote Computational Structural Biology focuses on modeling and analyzing 3D protein structures, requiring specialized knowledge in structural bioinformatics. In contrast, Remote Bioinformatics Scientists work with genomic and biological data, often involving sequence analysis and data interpretation. Both roles are essential in biotech and research industries but differ in their focus and technical skills.

More about Remote Computational Structural Biology jobs
What cities are hiring for Remote Computational Structural Biology jobs? Cities with the most Remote 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 Remote Computational Structural Biology jobs? States with the most job openings for Remote Computational Structural Biology jobs include:
What job categories do people searching Remote Computational Structural Biology jobs look for? The top searched job categories for Remote Computational Structural Biology jobs are:
Remote Computational Structural Biology jobs near you
Infographic showing various Remote Computational Structural Biology job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 91% Full Time, and 7% Part Time. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $135,479 per year, or $65.1 per hour.

Principal Scientist, Computational Chemistry

Deep Apple Therapeutics

South San Francisco, CA • On-site, Remote

Full-time

Posted 25 days ago

Job description

About Us Deep Apple Therapeutics, part of the Apple Tree Partners (ATP) portfolio, is a Bay Area biotechnology company focused on accelerating drug discovery by integrating molecular docking and structural biology with advanced computer-aided drug design (CADD) technologies. Our state-of-the-art platform combines advanced computational modeling, large-scale compound docking, cryo-EM-based structural biology, and deep learning to drive the efficient identification and development of novel therapeutics.

Role Description We are seeking an experienced Computational Scientist to support and advance our computational initiatives in virtual hit discovery and traditional CADD for our portfolio programs. You will join a collaborative team of computational chemists, data scientists, machine learning engineers and medicinal chemists to integrate deep learning models into our drug discovery pipeline. This role will enhance our virtual screening capabilities, optimize molecular design, and facilitate cross-functional collaboration to translate computational insights into viable therapeutic leads. The ideal candidate will bring more than five years of expertise in computational modeling and proven support of drug discovery teams.

Key Responsibilities

  • Lead the implementation of virtual hit discovery, including ligand-based and structure-based modeling, on a program-by-program basis.
  • Deploy deep learning models, including generative AI for molecular design, to predict molecular properties, binding affinities, and ADMET profiles for portfolio programs.
  • Collaborate closely with biology, medicinal chemistry, and machine learning teams to validate computational predictions through iterative feedback loops to accelerate pipeline programs.
  • Drive strategic initiatives, including partnerships with academic institutions, technology companies, and CROs, to strengthen our virtual hit discovery capabilities.
  • Stay current with emerging technologies in computational chemistry and deep learning, incorporating them into our pipeline to maintain a competitive edge.
  • Manage project timelines, budgets, and resources while ensuring compliance with data integrity and intellectual property standards.

Required Qualifications and Skills

  • Ph.D. in Computational Chemistry, Cheminformatics, Bioinformatics, or a related field.
  • Minimum of 5 years of professional experience in computational modeling within the biotechnology or pharmaceutical industry, including at least 1-2 years in a computational program leadership role.
  • Strong track record in virtual hit discovery and/or CADD, with demonstrated success leading to IND-ready assets.
  • Proficiency in programming languages such as Python, with extensive experience in data analysis, machine learning pipelines, and high-performance computing.
  • Excellent communication skills, with the proven ability to translate complex technical concepts to non-expert audiences.

At Deep Apple, we value diversity, encourage professional growth, and provide competitive benefits and compensation.
Deep Apple is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Employment Type: FULL_TIME

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