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Remote Scientist Antibody Engineering Jobs (NOW HIRING)

Mercor

ADC/Bispecifics R&D Scientist

New York, NY · On-site +1

$85 - $142/hr

Remote Role Responsibilities * Review technical materials and real-world R&D data across ADC and/or ... Work in a core R&D function: discovery biology, medicinal chemistry, protein/antibody engineering ...

Dana-Farber Cancer Institute

... as engineering hits to generate potential therapeutics, e.g. bispecific and CAR T-cell ... Data Science dept. required to run these tools. • Develop antibody selection strategies to ...

Mercor

ADC Expert - Preclinical R&D

San Francisco, CA · On-site +1

$60 - $100/hr

Contract Compensation: $60-$100/hour Location: Remote Commitment: 10 hours/week Role ... Work in a core R&D function : discovery biology, medicinal chemistry, protein/antibody engineering ...

Argenx

Associate Director, Medical Writing

$164K - $225K/yr

Our unique antibody engineering technologies combined with the complementary expertise of our ... Bachelor's degree in a scientific or clinical discipline or related field required; PhD preferred

Argenx

Associate Director, Medical Writing

$164K - $225K/yr

Our unique antibody engineering technologies combined with the complementary expertise of our ... Bachelor's degree in a scientific or clinical discipline or related field required; PhD preferred

Radiance Technologies

The individual will support advanced remote sensing exploitation functions through detailed ... The position requires working collaboratively with other engineers, scientists, and analysts on ...

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Remote Scientist Antibody Engineering information

What does a remote scientist in antibody engineering do?

A Remote Scientist in Antibody Engineering works on the design, development, and optimization of antibodies for research, diagnostics, or therapeutic use, often from a location outside of a traditional laboratory. Their responsibilities may include analyzing data, performing computational modeling, collaborating with cross-functional teams, and using bioinformatics tools to predict antibody structures and functions. Remote scientists leverage digital communication and cloud-based platforms to collaborate effectively and contribute to scientific advancements without needing to be on-site. This role requires a strong background in molecular biology, immunology, and protein engineering, as well as proficiency with relevant software and databases.

How does a remote scientist in antibody engineering typically collaborate with cross-functional teams?

As a Remote Scientist specializing in Antibody Engineering, collaboration with cross-functional teams—such as bioinformatics, protein production, and clinical research—is essential. Communication is usually managed through virtual meetings, shared digital platforms, and collaborative documentation tools to ensure seamless progress on projects. While working remotely, you’ll often participate in data reviews, experimental design sessions, and troubleshooting discussions, making strong written and verbal communication skills crucial. Regular updates and clear reporting structures help maintain alignment and project momentum, even when team members are in different locations.

What are the key skills and qualifications needed to thrive as a remote scientist in antibody engineering?

To thrive as a Remote Scientist in Antibody Engineering, you need a strong background in molecular biology, protein engineering, and immunology, usually supported by a PhD or relevant research experience. Familiarity with laboratory automation software, bioinformatics tools, and antibody design platforms is essential, along with experience in data analysis systems. Excellent problem-solving skills, effective communication, and the ability to collaborate virtually are key soft skills for this remote role. These competencies ensure successful design, analysis, and optimization of antibodies, driving innovation and productivity in a distributed research environment.

What is the difference between Remote Scientist Antibody Engineering vs Remote Scientist Immunology?

AspectRemote Scientist Antibody EngineeringRemote Scientist Immunology
Required CredentialsPhD in Immunology, Biochemistry, or related field; experience in antibody design and engineeringPhD in Immunology, Microbiology, or related field; focus on immune system mechanisms
Work EnvironmentLaboratory research, computational modeling, biotech companiesLaboratory research, clinical settings, biotech and pharma industries
Employer & Industry UsageBiotech firms, pharmaceutical companies, research institutesResearch institutions, biotech, pharma, healthcare organizations

Remote Scientist Antibody Engineering focuses on designing and developing therapeutic antibodies, often involving protein engineering and molecular biology techniques. In contrast, Remote Scientist Immunology studies immune system functions and mechanisms, which may include antibody responses but also broader immune processes. Both roles require advanced degrees and are common in biotech and pharma industries, but they differ in their specific focus and daily tasks.

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Remote Scientist Antibody Engineering jobs near you
Infographic showing various Remote Scientist Antibody Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior/Staff AI Scientist, Antibody Design

Remote

Absci Corporation
Biotechnology Research and Development • 201 - 500 employees
Learn more about Absci Corporationexternal

$160K - $260K/yr

Full-time

Posted 7 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.
About the role
Absci is looking for a Senior/Staff AI Scientist to advance and deploy protein design models for antibody drug design. In this role, you will apply your broad expertise across specialized disciplines in AI Drug Discovery. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, drug discovery, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies in silico.
Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine learning models and apply these models directly to identify novel targets, unlocking previously intractable disease interventions, and to generate candidate antibody therapeutics.
This is a remote position, with the option to work onsite at our New York City office or our Vancouver, WA headquarters if located within commuting distance
Why Absci's AI team?
Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine learning models and apply these models directly to identify novel targets, unlocking previously intractable disease interventions, and to generate candidate antibody therapeutics. In particular we:
  • Provide our AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment
  • Maintain our own Wet Lab, enabling AI Scientists to validate novel modeling methods via rapid design > build > test > learn cycles
  • Developed and are growing our own pipeline of clinical-stage assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients

Responsibilities
  • Partner with team members across AI Research, AI Engineering, Computational Biology, and Protein Engineering to achieve success along the following axes:
    • Novel test-time compute strategies that maximize the quality and efficiency of our design pipelines.
    • Multi-objective optimization of therapeutic design goals
    • Solve key challenges of per-target design specification via innovative, AI-driven solutions.
  • Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies
  • Develop, deliver and publish high-impact research that advances Absci's position as a thought leader in the field of AI antibody design
  • Invest in ensuring work is accessible and interpretable to scientists with other domain expertise.
  • Ability and willingness to learn new technical skills to improve scientific contributions

Qualifications
  • PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
  • 3+ years of research experience at the intersection of machine learning and protein design, molecular modeling, or a related field, ideally including industry experience.
  • Fluency in Python and PyTorch
  • Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for protein design and protein structure prediction
  • Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment
  • Demonstrated experience presenting complex technical work to diverse audiences
  • Strong publication record in respected, high-impact journals and conferences

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.

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