Remote Research Scientist - Computational Biology

Placements24; Roanoke (VA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Health insurance

Budget for professional development

Job summary

Placements24 is seeking a Remote Research Scientist specializing in Computational Biology to join our innovative research group. This fully remote role offers flexibility to contribute to significant scientific breakthroughs from your location.

You will leverage advanced computational techniques and large biological datasets to uncover insights into biological systems and potential therapeutic targets. The ideal candidate holds a PhD and has strong Python or R skills, ML and network analysis

Qualifications

• PhD in a quantitative field (Computational Biology, Bioinformatics, CS, Statistics).
• Proven experience analyzing complex biological datasets with computational methods.
• Strong programming skills in Python or R and relevant libraries/tools.

Responsibilities

• Analyze and interpret large-scale biological datasets (genomics, transcriptomics, proteomics, metabolomics).
• Develop computational models to understand pathways and regulatory networks.
• Collaborate with experimental biologists and clinicians to define research questions and designs.
• Maintain bioinformatics pipelines for data processing and QC.
• Contribute to new computational tools and methodologies for research.
• Communicate findings via presentations, reports, and publications.

Skills

Python

R

Data mining

Machine learning

Network analysis

Remote collaboration

Communication

Education

PhD in Computational Biology or related field

Tools

Biopython

Pandas

scikit-learn

AWS

Job description

About the Role

Our client is seeking a talented and driven Remote Research Scientist specializing in Computational Biology to join their innovative research group. This position is fully remote, offering flexibility and the chance to contribute to significant scientific breakthroughs from your own location. You will leverage advanced computational techniques and large biological datasets to uncover novel insights into complex biological systems, disease mechanisms, and potential therapeutic targets. This role is ideal for a scientist passionate about applying cutting‑edge bioinformatics and data science methods to solve critical biological questions.

Key Responsibilities

• Analyze and interpret large-scale biological datasets, including genomics, transcriptomics, proteomics, and metabolomics data.
• Develop and apply computational models and algorithms to understand biological pathways, regulatory networks, and cellular processes.
• Collaborate closely with experimental biologists, clinicians, and other computational scientists to define research questions and experimental designs.
• Implement and maintain bioinformatics pipelines for data processing, quality control, and analysis.
• Contribute to the development of new computational tools and methodologies for biological research.
• Communicate research findings effectively through presentations, reports, and peer-reviewed publications.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Proven experience in analyzing complex biological datasets using computational and statistical methods.
• Strong programming skills in languages such as Python or R, and familiarity with relevant bioinformatics libraries and tools.
• Expertise in data mining, machine learning, and network analysis techniques applied to biological data.
• Experience with high-performance computing environments and cloud platforms is a plus.
• Excellent communication and collaboration skills for working effectively in a remote research setting.

Benefits

• Competitive salary and the advantage of working entirely remotely.
• Opportunity to contribute to high‑impact computational biology research.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, including courses and conference attendance.
• A stimulating and supportive virtual work environment fostering scientific collaboration.