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Remote Phage Display Scientist Jobs (NOW HIRING)

Corning

Data Scientist (Remote)

Corning, NY · On-site +1

Precision glass for advanced displays to deliver richer experiences * Auto glass and ceramics to ... Remote Role Summary The Data Scientist II / III role is an exciting opportunity to join Corning ...

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 ...

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 ...

thg

Senior Data Engineer (REMOTE OR MA BASED)

Worcester, MA · On-site +1

$105K - $143K/yr

Display data engineering best practices for data storage, integration, transformation, and access ... Collaborate with data scientists, analysts, and stakeholders * Coach, mentor, and serve as ...

thg

Senior Data Engineer (REMOTE OR MA BASED)

Worcester, MA · On-site +1

$105K - $143K/yr

Display data engineering best practices for data storage, integration, transformation, and access ... Collaborate with data scientists, analysts, and stakeholders * Coach, mentor, and serve as ...

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 ...

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 ...

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All JobsRemote Phage Display Scientist Jobs

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 June 2026, with employment types broken down into 30% Full Time, 50% Part Time, and 20% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Scientist (Remote)

Data Scientist (Remote)

Corning

Corning, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

80th of 518 rated manufacturers

Job description

Requisition Number: 74528
The company built on breakthroughs.
Join us.
Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:
  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences
  • Auto glass and ceramics to drive cleaner, safer, and smarter transportation
  • Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

Location: Remote
Role Summary
The Data Scientist II / III role is an exciting opportunity to join Corning's Data Science & Insight (DSI) team, where the individual will develop AI and machine learning solutions that enhance efficiency, generate actionable insights, and improve decision-making across a large and complex Fortune 500 organization.
This position sits within the Finance function and supports digital transformation initiatives across both corporate finance and the broader enterprise. A central focus of the role is the design and delivery of enterprise-grade, reusable AI/ML models and frameworks that can be applied across finance to address a broad range of business challenges.
The team brings together expertise in statistics, data science, machine learning, artificial intelligence, MLOps, and corporate finance. Projects are executed in a highly collaborative environment, while also requiring strong individual ownership and initiative.
Using advanced analytical and modeling techniques, the Data Scientist will enable objective, insight-driven analysis for stakeholders at all levels, including senior leadership. This role requires deep technical capability in applying sophisticated data science and machine learning methods to complex finance-related challenges, including time series analysis, Bayesian modeling, supervised and unsupervised learning, reinforcement learning, deep learning, natural language processing, and Generative AI.
The role is responsible for developing scalable, reusable solutions and helping to elevate modeling standards across the finance organization. This position follows a hybrid-remote model, with the expectation of being onsite at Corning headquarters for in-person meetings as needed.
Role Context
The Data Scientist is a core member of the centralized Digital Center AI team supporting Finance. This role is responsible for building and maintaining shared AI capabilities-including forecasting, predictive modeling, NLP/GenAI, prescriptive analytics, and pattern recognition-for use across FP&A, Treasury, Controllership, Tax, and Risk.
Success in this role requires a strong focus on scalability, robustness, and responsible deployment, as well as the consistent application of industry best practices in model development, validation, documentation, governance, and MLOps. The individual in this role is also expected to remain current with advancements in AI and machine learning and translate relevant innovations into practical, enterprise-ready applications.
Key Responsibilities
  • Design, develop, and validate foundational, reusable AI/ML models and frameworks that can be leveraged across multiple finance functions.
  • Apply advanced statistical and machine learning methods-including time series analysis, Bayesian techniques, tree-based models, clustering, deep learning, NLP, and Generative AI-to solve complex cross-functional finance business problems.
  • Implement best practices across the full model lifecycle, including problem framing, data quality assessment, feature engineering, validation, interpretability, monitoring, documentation, and reproducibility.
  • Evaluate existing models, metrics, and workflows critically, and recommend enhancements to improve robustness, scalability, and operational efficiency.
  • Partner with ML Engineers and Data Engineers to transition prototypes and research into production-ready, governed AI solutions.
  • Translate analytical findings into clear business insights and recommendations for senior finance leaders and executives.
  • Coach and mentor embedded Finance data scientists on modeling standards, reusable approaches, and best practices.
  • Stay informed on emerging AI/ML research, tools, and methodologies, and identify opportunities to adopt innovations that deliver measurable business value and can be operationalized responsibly.
  • Communicate learnings, model performance, and standards through presentations, documentation, and knowledge-sharing forums.
  • Compile, integrate, and prepare internal and external data sources for advanced analysis and modeling.
  • Contribute high-quality, well-documented code to shared repositories in accordance with enterprise standards.

Required Education and Experience
  • Minimum of 5 years of experience applying data science and machine learning methods to solve complex business problems.
  • Master's degree or PhD in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, Economics, or Finance.
  • Academic coursework in applied statistics, machine learning, or data science.
  • Coursework or demonstrated interest in Finance, Economics, or Operations Management is a plus.

Required Qualifications
  • Demonstrated ability to work independently while contributing effectively within highly collaborative, cross-functional teams.
  • Proven success in converting research and analytical work into production-ready solutions.
  • Strong curiosity and willingness to challenge conventional processes and assumptions.
  • Self-motivated with a commitment to continuous learning and staying current with evolving AI/ML tools and practices.
  • Ability to communicate complex technical analysis clearly and effectively to senior business stakeholders.
  • Prior publications or conference presentations in quantitative or technical fields are a plus.

Technical Competencies
  • Strong proficiency in Python and the broader Python AI/data science ecosystem.
  • Experience with Git-based source control, including platforms such as GitHub or GitLab.
  • Familiarity with Databricks and cloud-based machine learning platforms such as AWS or Azure is preferred.
  • Experience with distributed computing frameworks such as Spark is a plus.

The range for this position is $109,335.00 - $150,336.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

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