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Remote Computational Structural Biology Jobs in Portland, OR

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

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Remote Computational Structural Biology information

See Portland, OR salary details

$12

$69

$95

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

As of Sep 1, 2026, the average hourly pay for remote computational structural biology in Portland, OR is $69.08, according to ZipRecruiter salary data. Most workers in this role earn between $58.12 and $80.82 per hour, depending on experience, location, and employer.

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.

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 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.

What are the most commonly searched types of Computational Structural Biology jobs in Portland, OR?

The most popular types of Computational Structural Biology jobs in Portland, OR are:

Senior Technical Product Manager

Absci Corporation

Vancouver, WA โ€ข On-site, Remote

$145K - $180K/yr

Full-time

Medical, Dental, Vision

Posted 20 days ago


Job description

About Absci
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creationโ„ข platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.
Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube.
Senior Technical Product Manager (AI Research & Development)
Remote within the United States. Hybrid work available in Vancouver, WA; New York City, NY.
We are currently seeking a Senior Technical Product Manager to join our AI Research and Development team. You will be responsible for developing and executing on the vision, strategy, and deployment of both AI and Lab Products at Absci. You will drive small, interdisciplinary teams of Artificial Intelligence (AI) and Machine Learning (ML) Researchers, Software Engineers, Structural Biologists, and Screening Scientists to build delivery platforms that allow us to design, optimize, and validate biologics for treating conditions like cancer, autoimmune diseases, and infectious diseases. You will serve as a bridge between our AI Research and Biologics Discovery Technology teams, leading initiatives surrounding the development and/or application in one of two key areas:
AI-Guided Target Identification: An AI platform that leverages genetic-based evidence to discover novel target-indication pairs and de-risk in vivo or ex vivo pathway validation.
AI-Guided Drug Design: A platform that uses generative AI to design and optimize antibody-based drugs to grow Absci's internal pipeline and deliver on external partnerships.
Responsibilities:
  • Gather and synthesize product requirements from AI, Engineering, and Wet Lab Scientists and Business Development teams, then drive alignment with leadership for actionable product strategy
  • Own product roadmaps with decisive precision and bias for action; make trade-off decisions between competing priorities and risk
  • Partner with managers and technical leads with diverse backgrounds and areas of expertise to establish a cohesive product vision
  • Build detailed roadmaps, backlogs, and execution plans for assigned domain; partner with management to define OKRs and KPIs; track performance and adjust strategy based on data
  • Lead cross-functional teams through product initiatives from conception through deployment and optimization, proactively identifying and removing any blockers
  • Conduct research with product team and potential users to understand needs, pain points, and opportunities
  • Drive adoption and successful deployment of products within internal programs and external partnerships

Qualifications:
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or related field
  • At least 5 years of professional experience working on production-grade software or technical products development
  • 3+ years of working or educational experience in AI/ML and/or Protein Engineering
  • Strong technical knowledge to enable effective collaboration with world-class engineers and scientists
  • Proven track record of creating and executing on product roadmaps to deliver high-impact work
  • Demonstrated ability to manage complex stakeholder relationships across diverse teams
  • Excellent written and oral communication skills; ability to explain complex technical and business concepts
  • Excellent organizational skills and ability to manage multiple competing priorities
  • Comfortable working in a fast-paced environment with autonomy, accountability, and bias for action

Preferred (but not required):
  • Masters or PhD degree in relevant field
  • Experience in the Biotech or Pharmaceutical Industries
  • Experience with generative AI (GenAI), NLP, or computer vision, large language models (LLMs), or protein language models
  • Experience with MLOps tools such as Weights & Biases
  • Deep knowledge of bioinformatics, computational protein design, computational genomics, immunology, structural biology, antibody engineering, or related fields
  • Experience with NGS, SPR, or Flow Cytometry data
  • Experience as an agile coach, product owner, or Scrum Master

The salary range for US-based employees in this position is $145,000 - $180,000/year. Competitive equity package applies. Pay offered may vary depending on job-related knowledge, skills, and experience. In addition to equity, compensation packages include a wide range of medical, dental, vision benefits and ability to participate in our employee stock purchase plan.
Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which they have applied should make a request to the recruiter or hiring manager, or contact hiring@absci.com.