Lead Computational Biologist

Placements24; George; Hybrid; ZAR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Competitive salary

Health coverage

Professional development

Conference attendance

Retirement plan

Generous PTO

Job summary

Placements24 seeks a Lead Computational Biologist to head bioinformatics and computational research in George. You will guide a team processing genomic and proteomic data, developing pipelines and advancing data-driven strategies across projects.

The role demands a PhD and 8+ years in computational biology, with leadership experience and strong programming skills in Python, R, and C++. You will collaborate with bench scientists and clinicians to translate findings into impactful research.

Qualifications

• PhD in a quantitative field related to bioinformatics or computational biology.
• Minimum 8 years in computational biology or bioinformatics, with at least 2 years in leadership.
• Proficiency in Python, R, Perl, or C++.
• Extensive experience with biological databases, sequence alignment, and genome assembly tools.
• Strong statistical modeling, machine learning, and data visualization skills.
• Excellent communication and collaboration with non-computational scientists.

Responsibilities

• Lead design and implementation of computational pipelines for genomics, transcriptomics, and proteomics.
• Develop and apply statistical and ML models to identify patterns and targets.
• Collaborate with experimental biologists and clinicians to guide research directions.
• Mentor and manage a team of computational biologists and allocate resources.
• Ensure quality, reproducibility, and documentation of analyses and software.
• Present findings to internal teams, collaborators, and at conferences.

Skills

Python

R

C++

Perl

Education

Ph.D. in Bioinformatics / Computational Biology

Tools

Genome assembly software

Sequence alignment tools

Job description

About the Role

Our client is seeking an accomplished Lead Computational Biologist to head their bioinformatics and computational research efforts in George . This critical role involves leveraging advanced computational tools and statistical methods to analyze large-scale biological datasets, driving insights that will shape future research directions. You will lead a team of computational biologists, fostering innovation and ensuring the efficient processing and interpretation of complex genomic and proteomic data. This position is ideal for a seasoned professional looking to make a substantial impact within a forward-thinking scientific organization.

Key Responsibilities

• Lead the design and implementation of computational pipelines for the analysis of large-scale biological data, including genomics, transcriptomics, and proteomics.
• Develop and apply advanced statistical and machine learning models to identify patterns, biomarkers, and therapeutic targets from complex datasets.
• Collaborate closely with experimental biologists and clinicians to interpret results and guide research strategies in George .
• Manage and mentor a team of computational biologists, overseeing project timelines and resource allocation.
• Ensure the quality, reproducibility, and documentation of all computational analyses and software developed.
• Present research findings to internal teams, external collaborators, and at scientific conferences.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 8 years of progressive experience in computational biology or bioinformatics, with at least 2 years in a team leadership capacity.
• Proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or C++.
• Extensive experience with biological databases, sequence alignment tools, and genome assembly software.
• Strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with non-computational scientists.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision coverage.
• Generous allowance for professional development, including attendance at international conferences.
• Opportunity to lead groundbreaking research in a scenic coastal city like George .
• Retirement savings plan and ample paid time off.