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Remote Scientist Antibody Engineering Jobs (NOW HIRING)

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting ... Perform exploratory data analysis, feature engineering, and model optimization. * Conduct large ...

ENGINEER/SCIENTIST

Dahlgren, VA · On-site

$69K - $156K/yr

You will conduct engineering analysis that results in the identification and recommendation of ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... engineering pipelines that prepare raw call center operational data from multiple sources for ...

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... engineering pipelines that prepare raw call center operational data from multiple sources for ...

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... engineering pipelines that prepare raw call center operational data from multiple sources for ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

ENGINEER/SCIENTIST

Dahlgren, VA · On-site

$46K - $158K/yr

You will support execution of system engineering best practices for requirements definition and ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Showing results 41-60

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.

More about Remote Scientist Antibody Engineering jobs

What cities are hiring for Remote Scientist Antibody Engineering jobs?

Cities with the most Remote Scientist Antibody Engineering job openings:

What are the most commonly searched types of Scientist Antibody Engineering jobs?

The most popular types of Scientist Antibody Engineering jobs are:

What states have the most Remote Scientist Antibody Engineering jobs?

States with the most job openings for Remote Scientist Antibody Engineering jobs include:

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 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

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


Job description

2. Senior Data Scientist (1 Positions)
Position Title - Senior Data Scientist
Location: Remote
Position Summary
The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and continuous improvement of machine learning models, predictive analytics, fraud detection methodologies, and advanced statistical analysis. The position directly supports audits, investigations, and fraud prevention initiatives by transforming complex structured and unstructured datasets into actionable intelligence.
Key Responsibilities
  • Design, develop, and maintain supervised and unsupervised machine learning models.
  • Develop fraud detection algorithms using statistical modeling and predictive analytics.
  • Perform exploratory data analysis, feature engineering, and model optimization.
  • Conduct large-scale data cleansing, normalization, and validation.
  • Develop NLP solutions utilizing OCR, semantic similarity, vector embeddings, and Large Language Models.
  • Support criminal investigations through advanced analytics and investigative data products.
  • Produce dashboards, reports, executive briefings, and interactive visualizations using Power BI and related tools.
  • Collaborate with Data Engineers to optimize cloud-based analytical environments.
  • Document methodologies, analytical processes, and model performance.
  • Present findings to technical and executive audiences.

Minimum Qualifications
  • Master's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Machine Learning, or related discipline (or equivalent experience).
  • Minimum 10 years of advanced analytics experience.
  • Minimum 5 years developing predictive models and fraud analytics.
  • Minimum 3 years supporting investigative or compliance analytics.
  • Experience with:
    • Python (Pandas)
    • SQL Server
    • PostgreSQL
    • Azure, AWS, or GCP
    • Machine Learning
    • NLP
    • Power BI

Preferred Qualifications
  • Azure AI Engineer
  • Azure Data Scientist Associate
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Microsoft Certified: Azure AI Engineer
  • Experience supporting Federal OIGs, DOJ, DHS, Treasury, or Inspector General organizations.