Lead Data Scientist - Bioinformatics

Placements24; George; Hybrid; ZAR 1.400.000 - 2.100.000; Vollzeit

Benefits dieser Stelle

Annual bonus

Medical insurance

Professional development

Hybrid work in George

Life sciences research

Zusammenfassung

Placements24 seeks a Lead Data Scientist (Bioinformatics) to join our George-based research team, leading development and deployment of analytical models to extract insights from complex biological data for therapeutic development.

The ideal candidate has a PhD or MSc in a related field, 7+ years in data science with bio/genomics focus, and proven leadership of technical teams. Hybrid work in George is offered.

Collaborate across experiments, engineering, and biology to drive impact.

Qualifikationen

• PhD or Master’s in Bioinformatics/Data Science/CS or related quantitative field.
• 7+ years as a Data Scientist with emphasis on biological/genomic data.
• Proven leadership of technical teams and projects.
• Proficiency in Python or R and libraries like TensorFlow, PyTorch, scikit-learn.
• Experience with cloud platforms (AWS/Azure/GCP) and large-scale data processing.

Aufgaben

• Lead design, development, and deployment of ML models for biological data.
• Mentor a team of data scientists and bioinformaticians.
• Identify opportunities to leverage data for complex biological questions.
• Collaborate with biologists, computational biologists, and software engineers to integrate pipelines.
• Ensure quality, reproducibility, and clear communication of results.

Kenntnisse

Lead Data Scientist

Bioinformatics

Python

R

TensorFlow

PyTorch

scikit-learn

Cloud computing

Team leadership

Ausbildung

PhD or Master’s in Bioinformatics/Data Science/CS

Tools

AWS

Azure

GCP

Docker

Git

Jobbeschreibung

About the Role

Our client is seeking a highly skilled and experienced Lead Data Scientist specializing in Bioinformatics to join their innovative research team in George . This senior role involves leading the development and implementation of advanced analytical models and algorithms to extract insights from complex biological datasets. You will play a critical role in shaping the direction of our client's data science initiatives, contributing to groundbreaking research that drives biological understanding and therapeutic development. The ideal candidate will possess a strong academic background combined with practical experience in applying data science techniques to biological challenges in a hybrid work setting.

Key Responsibilities

• Lead the design, development, and deployment of machine learning models for biological data analysis.
• Manage and mentor a team of data scientists and bioinformaticians, fostering a collaborative and productive environment.
• Identify opportunities for leveraging data to solve complex biological questions and improve research outcomes.
• Collaborate with experimental biologists, computational biologists, and software engineers to integrate data analysis pipelines.
• Ensure the quality, integrity, and reproducibility of all data analyses and model development.
• Communicate complex findings and technical concepts clearly to both technical and non-technical audiences.

Requirements

• Ph.D. or Master's degree in Bioinformatics , Data Science, Computer Science, or a related quantitative field.
• Extensive experience (7+ years) as a Data Scientist, with a significant focus on biological or genomic data.
• Proven leadership experience managing technical teams and projects.
• Proficiency in programming languages such as Python or R, and expertise in relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, machine learning algorithms, and bioinformatics tools.
• Experience with cloud computing platforms (AWS, Azure, GCP) and large-scale data processing.

Benefits

• Highly competitive salary and annual bonus.
• Comprehensive medical, dental, and vision insurance plans.
• Generous allowance for professional development and training opportunities.
• Flexible hybrid work arrangement based in George .
• Contribution to impactful research in the field of life sciences.