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Remote Phage Display Scientist Jobs (NOW HIRING)

MORRIS P HEBERT INC

Remote Sensing Technician

Houma, LA · Remote

Remote Sensing Technician (RST) primary duties are for field data collection of remote sensing data ... scientific or technical use. * Design or implement strategies for collection, analysis, or display ...

Zillow

Applied Scientist, Shopping AI

$129K - $206K/yr

... and display optimization-across our apps and websites. Our close-knit group of engineers and ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

DivIHN

SCADA Network Modeler (Remote)

$56 - $72.75/hr

Builds and maintains network displays for distribution, substation and transmission views ... Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information ...

Novartis

Summary #LI-Remote This is a field-based and remote opportunity supporting key accounts in an ... Display an elevated level of self-awareness, a passion for learning, an ability to inspire those ...

Hexagon AB

CAD Implementer (REMOTE-US)

Madison, AL · On-site +1

A degree in the Sciences, Computer Sciences, Engineering or a related discipline, or equivalent ... Consistently displays positive teamwork behaviors in line with Octave culture, including ...

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Remote Phage Display Scientist information

What is a Remote Phage Display Scientist?

A Remote Phage Display Scientist is a specialized researcher who works remotely to design, conduct, and analyze experiments involving phage display technology. Phage display is a laboratory method used to study protein-protein, protein-peptide, and protein-DNA interactions by displaying peptides or proteins on the surface of bacteriophages. These scientists use their expertise to identify binding molecules, such as antibodies or peptides, that have therapeutic or diagnostic potential. Working remotely, they may collaborate with other scientists, analyze experimental data, and contribute to scientific publications or drug discovery projects. Their work is vital in biotechnology, pharmaceutical research, and academic settings.

How does collaborating remotely impact daily workflows and communication for a Remote Phage Display Scientist?

As a Remote Phage Display Scientist, collaboration typically relies on digital communication tools such as video conferencing, shared data platforms, and collaborative documentation. While you may conduct much of your experimental design and data analysis independently, regular virtual meetings with research teams or clients are common to discuss project progress, troubleshoot challenges, and align on next steps. Clear and timely communication is crucial, and you may need to coordinate closely with onsite laboratory staff for physical sample handling or experimental execution. Adapting to remote workflows can enhance flexibility but requires proactive organization and strong digital literacy.

What is the difference between Remote Phage Display Scientist vs Remote Antibody Discovery Scientist?

AspectRemote Phage Display ScientistRemote Antibody Discovery Scientist
Required CredentialsBachelor's or Master's in Molecular Biology, Biochemistry, or related fields; experience with phage display techniquesBachelor's or Master's in Immunology, Molecular Biology, or related fields; experience with antibody screening and characterization
Work EnvironmentLaboratory and research settings, often collaborative, with some remote data analysisLaboratory-based, focusing on antibody development, with remote data analysis options
Industry UsageBiotech, pharmaceutical companies, research institutionsBiotech, pharmaceutical companies, research institutions

Both roles involve molecular biology techniques and research in biotech settings. The main difference lies in their focus: the Phage Display Scientist specializes in phage display technology for protein or peptide selection, while the Antibody Discovery Scientist concentrates on identifying and characterizing therapeutic antibodies. Both positions often require similar educational backgrounds and are used interchangeably in industry, but their specific technical expertise distinguishes them.

What are the key skills and qualifications needed to thrive as a Remote Phage Display Scientist, and why are they important?

A Remote Phage Display Scientist should have a strong background in molecular biology, protein engineering, and immunology, typically supported by a relevant advanced degree (PhD or MS). Familiarity with phage display libraries, bioinformatics tools, and laboratory information management systems (LIMS) is essential. Excellent problem-solving skills, attention to detail, effective communication, and the ability to work independently are vital soft skills. These qualifications enable accurate experimental design, data analysis, and successful collaboration in a remote scientific environment.
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Remote Phage Display Scientist jobs near you
Infographic showing various Remote Phage Display Scientist job openings in the United States as of July 2026, with employment types broken down into 64% Full Time, 32% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Scientist II, ML - Guided Protein Design Evaluation

Profluent

Emeryville, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago

Job description

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
The Role
We are expanding the ML Design Evaluation (MDE) program; the cross-functional program that runs dedicated, structured design campaigns to generate high-quality experimental data for Profluent's protein design models. MDE sits at the intersection of ML, Biology, and Bioinformatics, and its output directly translates into improved models and accelerated protein design campaigns.
We are looking for a scientist with deep expertise in therapeutic antibody development, protein engineering, and ML-guided protein design to partner with the MDE Lead on the scientific substance of the program. You will own the translation between what our ML team needs to learn from each campaign and what the experimental system (internal assays and CRO-run workflows) can deliver. You will help scope targets and assays, partner with ML scientists to define what "model-ready" data looks like for each campaign, set and enforce assay readiness and QC expectations, and close the Design→ Build→ Test→ Learn loop by tracking how each dataset impacts model performance.
This is a hands-on technical role, not a pure program role. You'll collaborate with ML and Protein Design scientists to develop experimental designs, review assay protocols, troubleshoot data quality issues with internal teams and CROs, and work closely with ML scientists to understand how data is used in model training.
Responsibilities
  • Partner with ML and Protein Design leads to scope MDE campaigns; including target selection, choice of assays, and what readouts are needed to improve the next generation of models
  • Define assay readiness levels, controls, and QC acceptance criteria for each campaign, and enforce them across internal execution and external CROs
  • Review incoming data (biochemical, biophysical, NGS-based screens) for scientific soundness before it is accepted into the data warehouse and used for model training
  • Work with Bioinformatics on metadata schemas and data ingestion so that every dataset is consistent, queryable, and traceable back to its parent project.
  • Serve as the scientific point of contact for CRO technical scoping; evaluate whether a vendor's platform, assay conditions, and controls are fit for purpose for ML-guided optimization
  • Contribute to campaign charters, benchmarking assay design, and post-campaign readouts; help turn individual experiments into a growing institutional dataset
  • Represent the MDE program in cross-functional technical forums and help raise the data-quality bar across the organization

Qualifications
  • PhD in Molecular Biology, Biochemistry, Protein Engineering, Biophysics, Immunology, or a closely related field; or MS with equivalent industry experience
  • 5+ years of hands-on experience with protein engineering and functional characterization, including biochemical activity, binding, stability, and/or expression assays
  • Direct experience with therapeutic antibody discovery and engineering (e.g., affinity maturation, developability optimization, humanization, format engineering) and the assays that support it (binding kinetics, epitope characterization, biophysical and developability panels)
  • Strong working knowledge of NGS-based screening workflows (e.g., deep mutational scanning, amplicon sequencing, high-throughput activity screens, antibody display library sequencing) and what makes that data usable for modeling
  • Demonstrated ability to define assay quality standards (signal/noise, reproducibility, plate-level controls) and hold experimental workflows to them
  • Fluent working across scientific disciplines; can talk protein chemistry and antibody biology with biologists and model-guided design approaches with ML scientists without losing either audience

Preferences
  • Prior experience closing Design-Build-Test-Learn loops in an industrial protein design, antibody engineering, or directed evolution setting
  • Experience with display-based antibody discovery platforms (phage, yeast, mammalian) and/or single-cell B-cell screening workflows
  • Experience scoping and overseeing externally run assays at CROs, including technical evaluation of vendor platforms
  • Comfortable with Python/pandas and SQL at the level needed to inspect, QC, and reason about experimental datasets independently
  • Familiarity with LIMS and project-management systems and experience defining data & metadata schemas for experimental data
  • Exposure to kinases, nucleases, recombinases, or gene editing enzymes is a plus
  • Track record of publishing, presenting, or shipping work at the intersection of protein engineering and machine learning

What We Offer
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Work Authorization Requirement
Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Hiring Salary Range
$147,000-$180,000 USD

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