Remote Senior Data Scientist - Bioinformatics

Placements24; Gqeberha; Hybrid; ZAR 1,100,000 - 1,700,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Flexible remote schedule

Professional development budget

Global team in Port Elizabeth

Job summary

Placements24 is seeking a Remote Senior Data Scientist with specialization in Bioinformatics to join a globally distributed research team. You will extract insights from genomic, proteomic, and clinical data while developing advanced ML models to support drug discovery and development.

The role is fully remote, requiring collaboration across time zones and strong communication. A competitive salary, comprehensive benefits, and generous professional development budget are offered to enable impact

Qualifications

• Master's or Ph.D. in Bioinformatics, Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science or bioinformatics, with a focus on biological data.
• Proficiency in Python or R and data science libraries; experience with ML algorithms and statistical modeling.

Responsibilities

• Design, develop, and deploy ML models and analyses for biological data.
• Analyze genomic, transcriptomic, and proteomic datasets to identify patterns and markers.
• Collaborate remotely with cross-functional teams of scientists and engineers.
• Develop and maintain data pipelines and analytical workflows for data processing.

Skills

Python/R

Bioinformatics

Cloud platforms

Data science

Communication

Education

MSc/PhD in relevant field

Tools

AWS/Azure/GCP

Job description

About the Role

Our client is seeking an experienced Remote Senior Data Scientist specializing in Bioinformatics to join their globally distributed research team. This role is pivotal in extracting meaningful insights from vast biological datasets, including genomic, proteomic, and clinical information. You will be responsible for developing advanced analytical models and machine learning algorithms to support drug discovery and development efforts. Working entirely remotely, you will collaborate closely with scientists and engineers across different time zones. This position offers the opportunity to contribute to critical scientific advancements from anywhere, driving innovation in a truly borderless environment.

Key Responsibilities

• Design, develop, and deploy machine learning models and statistical analyses for biological data.
• Analyze large-scale datasets (genomics, transcriptomics, proteomics) to identify patterns and predictive markers.
• Collaborate with cross-functional teams, including biologists, chemists, and software engineers, remotely.
• Develop and maintain data pipelines and analytical workflows for efficient data processing and interpretation.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
• Contribute to the development of novel computational approaches for biological research.

Requirements

• Master's or Ph.D. in Bioinformatics , Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science or bioinformatics, with a focus on biological data.
• Strong proficiency in programming languages such as Python or R and associated data science libraries.
• Proven experience with machine learning algorithms, statistical modeling, and data mining techniques.
• Experience working with cloud computing platforms (AWS, Azure, GCP) and big data technologies.
• Excellent communication and collaboration skills, essential for a remote work environment.

Benefits

• Highly competitive salary and performance-based bonus opportunities.
• Comprehensive health, dental, and vision insurance coverage, irrespective of location.
• Flexible remote work schedule, promoting work-life balance.
• Generous budget for professional development, including online courses and conferences.
• Opportunity to work on impactful projects in drug discovery and development with a global team based in Port Elizabeth .