Remote Data Scientist - Bioinformatics Analysis

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

Benefits offered by this job

Health insurance

Remote work

Professional development budget

Job summary

Placements24 seeks an accomplished Remote Data Scientist with expertise in bioinformatics analysis to join a globally distributed research team. This fully remote role derives insights from complex biological data to accelerate discovery in genomics and proteomics.

You will collaborate virtually with biologists, computational biologists, and other data scientists, applying advanced statistical and machine learning techniques and developing visualizations to communicate results effectively.

Qualifications

• Ph.D. or M.Sc. in Data Science, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a strong focus on bioinformatics or biological data analysis.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with bioinformatics tools, databases, and common data formats (e.g., FASTQ, BAM, VCF).
• Excellent remote communication, collaboration, and problem-solving skills, essential for our operations linked to Upington.

Responsibilities

• Design, develop, and implement statistical and machine learning models for the analysis of large-scale biological data.
• Process and analyze genomic, transcriptomic, proteomic, and other high-throughput biological datasets.
• Identify patterns, trends, and correlations within complex datasets to generate biological hypotheses.
• Collaborate with cross-functional research teams to define analytical objectives and interpret findings.
• Develop data visualization tools and dashboards to communicate complex results effectively.
• Stay current with the latest advancements in data science, bioinformatics, and computational biology.

Skills

Python

R

Bioinformatics

Machine learning

Statistics

Data mining

Remote collaboration

Education

Ph.D. in Data Science or Bioinformatics

M.Sc. in a related quantitative field

Tools

pandas

scikit-learn

TensorFlow

PyTorch

FASTQ

BAM

VCF

Job description

About the Role

Our client is seeking an accomplished Remote Data Scientist with expertise in bioinformatics analysis to join their globally distributed research team. This fully remote position is focused on deriving actionable insights from complex biological datasets to accelerate discovery in areas such as genomics and proteomics. You will collaborate virtually with biologists, computational biologists, and other data scientists, employing advanced statistical and machine learning techniques. This is a unique opportunity for a data-driven individual to contribute to cutting-edge research from anywhere, driving innovation in biological sciences and supporting our remote-first work culture.

Key Responsibilities

• Design, develop, and implement statistical and machine learning models for the analysis of large-scale biological data.
• Process and analyze genomic, transcriptomic, proteomic, and other high-throughput biological datasets.
• Identify patterns, trends, and correlations within complex datasets to generate biological hypotheses.
• Collaborate with cross-functional research teams to define analytical objectives and interpret findings.
• Develop data visualization tools and dashboards to communicate complex results effectively.
• Stay current with the latest advancements in data science, bioinformatics, and computational biology.

Requirements

• Ph.D. or M.Sc. in Data Science, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a strong focus on bioinformatics or biological data analysis.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with bioinformatics tools, databases, and common data formats (e.g., FASTQ, BAM, VCF).
• Excellent remote communication, collaboration, and problem-solving skills, essential for our operations linked to Upington.

Benefits

• Highly competitive salary and remote work benefits.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours and the autonomy to manage your workday from anywhere.
• Generous budget for professional development, online courses, and home office setup.
• Opportunity to work on impactful bioinformatics analysis projects with a global reach.