Senior Computational Biologist - Genomics

Placements24

Sandton

Hybrid

ZAR 900,000 - 1,500,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Flexible remote work
Health insurance
Professional development budget
Impactful research projects

Job summary

Placements24 is seeking a Senior Computational Biologist to join a fully remote research team. You will analyze complex genomic and transcriptomic data, develop and implement advanced algorithms, and contribute to significant discoveries in a collaborative, remote-first environment.

The role focuses on building pipelines, predictive models, and staying at the forefront of bioinformatics innovations, enabling high-impact biological research projects.

Qualifications

  • Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or related quantitative field.
  • Minimum of 6 years of experience in computational biology or bioinformatics research.
  • Proficiency in Python, R, and/or Perl.
  • Extensive experience with various bioinformatics tools and databases.
  • Experience analyzing next-generation sequencing data.
  • Excellent communication and collaboration skills for remote teamwork.

Responsibilities

  • Develop and apply computational methods for analyzing genomic, transcriptomic, and proteomic data.
  • Design and implement bioinformatics pipelines for data processing and analysis.
  • Collaborate with experimental biologists to interpret data and formulate hypotheses.
  • Develop predictive models and statistical analyses to extract biological insights.
  • Contribute to the design of high-throughput experiments with computational guidance.
  • Stay current with advancements in bioinformatics and related domains.

Skills

Python
R
Perl

Education

Ph.D. in Computational Biology or related field

Tools

Bioinformatics tools

Job description

About the Role

Our client is seeking a highly skilled and experienced Senior Computational Biologist to join their leading-edge, fully remote research team. This role is pivotal in leveraging advanced computational approaches to analyze complex genomic and transcriptomic datasets, driving key discoveries in biological research. You will develop and implement sophisticated algorithms and pipelines to interpret large-scale biological data, contributing directly to groundbreaking research projects. This is an excellent opportunity for a motivated computational biologist to work on challenging scientific problems within a collaborative, remote-first environment, contributing to significant advancements in the field.

Key Responsibilities
  • Develop and apply computational methods for analyzing large-scale genomic, transcriptomic, and proteomic data.
  • Design and implement bioinformatics pipelines for data processing, quality control, and analysis.
  • Collaborate with experimental biologists to interpret data and formulate hypotheses.
  • Develop predictive models and statistical analyses to extract biological insights from complex datasets.
  • Contribute to the design of high-throughput experiments by providing computational guidance.
  • Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological domains.
Requirements
  • Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
  • Minimum of 6 years of experience in computational biology or bioinformatics research.
  • Strong proficiency in programming languages such as Python, R, and/or Perl.
  • Extensive experience with various bioinformatics tools and databases.
  • Demonstrated experience analyzing next-generation sequencing data.
  • Excellent communication and collaboration skills, essential for effective remote teamwork.
Benefits
  • Highly competitive salary and performance-based incentives.
  • Flexible working hours and a fully remote work environment.
  • Comprehensive health, dental, and vision insurance.
  • Generous professional development budget for training and conferences.
  • Opportunity to work on impactful research with a world-class team.
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