Senior Computational Biologist - Bioinformatics

Placements24; Centurion; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Private medical insurance

Dental insurance

Retirement plan with employer match

Paid time off

Home office stipend

Professional development

Job summary

Placements24 seeks a Senior Computational Biologist to lead critical bioinformatics initiatives in a remote-first setting. You will develop pipelines for genomics, transcriptomics and proteomics, analyze omics datasets, and translate complex biological questions into computational strategies.

PhD in a quantitative field with 5+ years of experience, proficiency in Python/Perl and R, and cloud experience are required.

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, Statistics or related field.
• 5+ years in computational biology or bioinformatics research.
• Proficient in Python/Perl and R; strong stats and ML skills.
• Experience with WGS, RNA-Seq and Mass Spec data; cloud familiarity.

Responsibilities

• Develop and optimize computational pipelines for omics data analysis.
• Analyze large genomic, transcriptomic, and proteomic datasets.
• Design statistical analyses to identify biomarkers and patterns.
• Develop predictive models and ML algorithms for biology.
• Collaborate with researchers to design studies and interpret results.
• Contribute to bioinformatics tool development and documentation.

Skills

Python

Perl

R

Statistical analysis

Machine learning

Big data

Education

PhD in Computational Biology

Tools

Git

AWS

GCP

Job description

About the Role

Our client, a pioneer in leveraging big data to drive advancements in precision medicine, is seeking a Senior Computational Biologist to lead critical bioinformatics initiatives. This fully remote role is designed for a highly analytical and technically proficient individual who can translate complex biological questions into computational strategies. You will be instrumental in developing and implementing algorithms and pipelines for analyzing large-scale omics data, including genomics, transcriptomics, and proteomics. The position offers the unique opportunity to work independently, collaborating with a distributed network of world-class researchers and data scientists, all focused on deciphering complex biological systems. If you are passionate about the intersection of biology, computer science, and data analytics, and thrive in a flexible, remote-first setting, this role is for you.

Key Responsibilities

• Develop, implement, and optimize computational pipelines for high-throughput omics data analysis.
• Analyze and interpret large-scale genomic, transcriptomic, and proteomic datasets.
• Design and perform statistical analyses to identify significant biological patterns and biomarkers.
• Develop predictive models and machine learning algorithms for biological applications.
• Collaborate with experimental biologists to design studies and interpret results.
• Contribute to the development of novel bioinformatics tools and software.
• Visualize complex data effectively for communication to diverse audiences.
• Stay current with the latest advancements in bioinformatics, computational biology, and machine learning.
• Document code, methodologies, and results thoroughly.
• Present findings at scientific meetings and contribute to publications.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• A minimum of 5 years of experience in computational biology or bioinformatics research.
• Expertise in scripting languages such as Python or Perl, and experience with R.
• Strong proficiency in statistical analysis and machine learning techniques.
• Hands-on experience with various omics data types (e.g., WGS, RNA-Seq, Mass Spectrometry).
• Familiarity with cloud computing platforms (e.g., AWS, GCP) and big data technologies.
• Excellent problem-solving and analytical skills.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• Strong communication and collaboration skills.
• Experience with version control systems (e.g., Git).

Benefits

This fully remote position comes with a highly competitive salary, a substantial annual performance bonus, and comprehensive benefits package including private medical and dental insurance, a robust retirement savings plan with employer matching, and generous paid time off. We offer a dedicated home office equipment and connectivity stipend, ensuring you have the resources needed for optimal productivity. Continuous professional development is encouraged through virtual workshops, online courses, and opportunities to present at international conferences. The flexibility inherent in this role allows for an exceptional work-life balance.