Senior Computational Biologist - Drug Discovery

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Remote work stipend

Home office setup support

Professional growth opportunities

Collaborative work culture

Remote position flexibility

Job summary

Placements24 is seeking a Senior Computational Biologist to join a remote drug discovery team. You will analyze large-scale omics data, develop predictive models, and collaborate with chemists, biologists and pharmacologists to accelerate therapeutics.

The role emphasizes advanced machine learning, statistics, and data integration across genomics, transcriptomics and proteomics, with strong remote-work support and opportunities for professional growth.

Qualifications

• PhD in a quantitative field with 5+ years of computational biology experience.
• Expertise in ML and statistical models for omics data.
• Proficiency in Python and R with bioinformatics libraries.
• Strong communication and remote collaboration skills.

Responsibilities

• Design computational strategies for large-scale omics datasets.
• Develop ML models for target identification and validation.
• Collaborate with chemistry and biology teams to integrate findings.
• Build predictive models for drug efficacy and toxicity.
• Stay updated on advancements in computational biology.

Skills

Python

R

Bioinformatics

Machine learning

Statistics

Data mining

Genomics

Education

PhD in Computational Biology/Bioinformatics

Tools

Bioconductor

Job description

About the Role

Our client is seeking a highly skilled and motivated Senior Computational Biologist to join their dynamic drug discovery team. This role is pivotal in leveraging advanced computational approaches to accelerate the identification and development of novel therapeutics. Working remotely, you will analyze complex biological datasets, develop predictive models, and collaborate closely with cross-functional teams, including chemists, biologists, and pharmacologists. This is an exceptional opportunity for an experienced computational biologist to make significant contributions to groundbreaking pharmaceutical research from the convenience of a remote work environment , driving innovation in a fast-paced, results-oriented setting.

Key Responsibilities

• Design and implement computational strategies to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics data.
• Develop and apply machine learning algorithms and statistical models for target identification and validation.
• Collaborate with experimental teams to integrate computational findings with experimental results.
• Build predictive models for drug efficacy, toxicity, and pharmacokinetics.
• Contribute to the design of high-throughput screening assays and interpret their results computationally.
• Stay abreast of the latest advancements in computational biology, bioinformatics, and drug discovery methodologies.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of relevant industry or academic research experience in computational biology or bioinformatics.
• Proficiency in programming languages such as Python, R, and experience with bioinformatics libraries.
• Strong expertise in statistical analysis, machine learning, and data mining techniques applied to biological data.
• Experience with diverse biological data types and databases.
• Excellent communication skills and the ability to work effectively in a fully remote , collaborative team environment.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Generous remote work stipend and home office setup support.
• Opportunities for professional growth, including conferences and training.
• Collaborative and intellectually stimulating work culture focused on innovation.
• The flexibility and autonomy of a remote position , contributing to impactful drug discovery research.