Computational Biologist - Drug Discovery

Placements24; Centurion; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary and bonus

Fully remote work arrangement

Health, dental, and vision insurance

Generous paid time off

Career development opportunities

Collaborative work environment

Job summary

Placements24 is seeking a highly skilled Computational Biologist to join its innovative drug discovery team on a fully remote basis. You will leverage computational techniques to identify and validate therapeutic targets, collaborating with chemists, biologists, and data scientists from your home office.

The role emphasizes developing data-driven strategies, building analysis pipelines, and applying machine learning to genomics, transcriptomics, and proteomics data.

Qualifications

• Master's or PhD in Computational Biology, Bioinformatics, Computer Science, or a related field.
• 3+ years of experience in computational biology or a related role within the pharmaceutical or biotech industry.
• Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics databases and tools.
• Strong understanding of statistical modeling, machine learning, and data mining techniques.
• Experience with large-scale data analysis, including genomics, transcriptomics, and/or proteomics data.
• Excellent problem-solving skills and ability to work independently in a remote setting.

Responsibilities

• Develop and apply computational and statistical methods to analyze large-scale biological datasets, including genomics, proteomics, and transcriptomics.
• Design and implement computational models for target identification, validation, and lead optimization in drug discovery programs.
• Collaborate with cross-functional teams to integrate diverse data types and extract actionable insights.
• Develop and maintain robust analysis pipelines and software tools for internal research use.
• Stay current with the latest advancements in computational biology, cheminformatics, and drug discovery technologies.
• Present findings and strategies to project teams and senior management in a clear and concise manner.

Skills

Python

R

Perl

Machine learning

Data mining

Statistical analysis

Education

Master's or PhD in Computational Biology/Bioinformatics/CS

Tools

Genomics databases

Bioinformatics tools

Job description

About the Role

Our client is seeking a highly skilled Computational Biologist to join their innovative drug discovery team, operating in a fully remote capacity. This role is crucial for leveraging advanced computational techniques to identify and validate novel therapeutic targets. You will work closely with chemists, biologists, and data scientists to design and implement data-driven strategies that accelerate the drug development process. This is an exceptional opportunity for a motivated individual to make a significant impact on patient lives from the convenience of their home office, contributing to a culture of scientific excellence and collaborative innovation.

Key Responsibilities

• Develop and apply computational and statistical methods to analyze large-scale biological datasets, including genomics, proteomics, and transcriptomics.
• Design and implement computational models for target identification, validation, and lead optimization in drug discovery programs.
• Collaborate with cross-functional teams to integrate diverse data types and extract actionable insights.
• Develop and maintain robust analysis pipelines and software tools for internal research use.
• Stay current with the latest advancements in computational biology, cheminformatics, and drug discovery technologies.
• Present findings and strategies to project teams and senior management in a clear and concise manner.

Requirements

• Master's or PhD in Computational Biology, Bioinformatics, Computer Science, or a related field.
• 3+ years of experience in computational biology or a related role within the pharmaceutical or biotech industry.
• Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics databases and tools.
• Strong understanding of statistical modeling, machine learning, and data mining techniques.
• Experience with large-scale data analysis, including genomics, transcriptomics, and/or proteomics data.
• Excellent problem-solving skills and ability to work independently in a remote setting.

Benefits

• Competitive salary and bonus structure commensurate with experience.
• Fully remote work arrangement, offering flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Opportunities for career growth and professional development, including conference attendance.
• A dynamic and collaborative work environment focused on accelerating life-saving therapies.