Remote Computational Biologist - Drug Discovery

Placements24; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Full-time remote position

Health/dental/vision insurance

Professional development allowance

Conference participation

Job summary

Placements24 is seeking a Remote Computational Biologist to advance drug discovery by applying computational methods to biological data. You will analyze complex systems, model disease mechanisms, and predict candidate efficacy and toxicity while collaborating with an expert team via digital platforms.

The role emphasizes remote work, cross-disciplinary communication, and contributing to innovative pharmacological research from anywhere in the United States.

Qualifications

• PhD in Computational Biology, Bioinformatics, Computer Science, or related field.
• Minimum 4 years of experience in computational biology or bioinformatics within drug discovery.
• Strong programming skills in Python or R; experience with cheminformatics/bioinformatics libraries.

Responsibilities

• Develop computational models for large-scale biological datasets (transcriptomics, proteomics, genomics).
• Design virtual screening campaigns and molecular docking studies.
• Integrate diverse data sources to build predictive models for drug efficacy and safety.
• Collaborate asynchronously with medicinal chemists, biologists, and pharmacologists to guide programs.
• Develop and maintain bioinformatics pipelines and visualization tools.
• Present complex biological results to project teams and leadership.

Skills

Python

R

Data analysis

Remote collaboration

Biology knowledge

Education

PhD in Computational Biology/ Bioinformatics/ CS

Tools

Cheminformatics libraries

Bioinformatics libraries

Large dataset analysis

Job description

About the Role

Our client is actively seeking a Remote Computational Biologist to join their pioneering drug discovery team. This role is crucial for accelerating the identification and development of novel therapeutics by applying advanced computational methods to biological data. You will analyze complex biological systems, model disease mechanisms, and predict drug candidate efficacy and toxicity, all while working remotely. This is an exciting opportunity for a scientifically driven individual to make a significant impact on pharmaceutical innovation from anywhere, collaborating with a world-class team of scientists and clinicians through digital platforms.

Key Responsibilities

• Develop and apply computational models to analyze large-scale biological datasets (e.g., transcriptomics, proteomics, genomics).
• Design and execute virtual screening campaigns and molecular docking studies.
• Integrate diverse biological data sources to build predictive models for drug efficacy and safety.
• Collaborate virtually with medicinal chemists, biologists, and pharmacologists to guide drug discovery programs.
• Develop and maintain bioinformatics pipelines and software tools for data analysis and visualization.
• Interpret complex biological results and present findings to project teams and leadership.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field.
• Minimum of 4 years of experience in computational biology or bioinformatics, specifically within drug discovery.
• Strong programming skills in Python or R, and experience with cheminformatics and bioinformatics libraries.
• Expertise in analyzing large biological datasets and building predictive models.
• Familiarity with drug discovery processes and relevant biological pathways.
• Proven ability to work effectively and communicate asynchronously in a remote setting.

Benefits

• Highly competitive salary and bonus structure.
• Full-time, fully remote position offering exceptional work-life balance.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for professional development, training, and conference participation.
• Opportunity to be at the forefront of drug discovery and development from your home office.