2

Remote Protein Engineering Scientist Jobs in Portland, OR

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Collaborate with domain experts (engineering, operations) to translate failure patterns into ML ...

Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Be Seen First

... engineered mouse models (GEMMs) for metabolic and target-driven pipeline expansion--while ... Drive alignment with internal platform scientists and external Contract Research Organizations (CRO ...

New

Be Seen First

... engineered mouse models (GEMMs) for metabolic and target-driven pipeline expansion--while ... Drive alignment with internal platform scientists and external Contract Research Organizations (CRO ...

New

next page

Showing results 1-20

Remote Protein Engineering Scientist information

See Portland, OR salary details

$43K

$104.7K

$166K

How much do remote protein engineering scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote protein engineering scientist in Portland, OR is $104,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $123,000.00 per year, depending on experience, location, and employer.

What does a remote protein engineering scientist do?

A Remote Protein Engineering Scientist designs and modifies proteins using computational and experimental methods, often from a home or off-site location. They leverage bioinformatics tools, molecular modeling, and laboratory data to develop proteins with improved or novel functions for applications in biotechnology, medicine, or industry. Collaboration with multidisciplinary teams and effective communication are essential, as much of the work is coordinated virtually. Their work can involve tasks such as enzyme optimization, antibody engineering, or developing therapeutic proteins.

What are the key skills and qualifications needed to thrive as a remote protein engineering scientist, and why are they important?

To thrive as a Remote Protein Engineering Scientist, you need a strong background in molecular biology, protein chemistry, and bioinformatics, typically supported by a PhD or relevant advanced degree. Familiarity with computational modeling tools (such as Rosetta or PyMOL), high-throughput screening systems, and programming languages like Python or R is crucial. Excellent problem-solving abilities, communication skills, and the capability to collaborate virtually with cross-functional teams help set top candidates apart. These skills and qualities are vital for efficiently designing, analyzing, and optimizing proteins while contributing effectively in a remote, research-driven environment.

What are some common challenges faced by remote protein engineering scientists, and how can they be addressed?

Remote Protein Engineering Scientists often encounter challenges related to effective collaboration and communication with multidisciplinary teams, since much of the work involves sharing data and coordinating experiments virtually. Managing complex computational tools and ensuring secure data sharing also require robust digital infrastructure. To address these challenges, it's important to establish clear communication protocols, utilize collaborative platforms for data analysis, and schedule regular virtual meetings to align on project goals. Building strong partnerships with lab-based colleagues and staying updated on the latest remote lab technologies can further enhance productivity and integration within the team.

What are the most commonly searched types of Protein Engineering Scientist jobs in Portland, OR?

The most popular types of Protein Engineering Scientist jobs in Portland, OR are:

What are popular job titles related to Remote Protein Engineering Scientist jobs in Portland, OR?

For Remote Protein Engineering Scientist jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Protein Engineering Scientist jobs in Portland, OR look for?

The top searched job categories for Remote Protein Engineering Scientist jobs in Portland, OR are:

Senior Technical Product Manager

Absci Corporation

Vancouver, WA • On-site, Remote

$145K - $180K/yr

Full-time

Medical, Dental, Vision

Posted 9 days ago


Job description

About Absci
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ 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.