Remote Lead Data Scientist - Genomics Analysis

Placements24; Benoni; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Health insurance

Home office budget

Flexible hours

Career development support

Job summary

Placements24 invites an experienced remote Lead Data Scientist to drive genomics analytics and guide a team of data scientists and bioinformaticians.

You will build and validate ML models for variant calling and disease research, translating complex genomic data into actionable strategies while mentoring research staff in a fully remote setup.

Qualifications

• Ph.D. or M.S. in Data Science, Statistics, Computer Science, Bioinformatics, or related field.
• Minimum of 7 years of experience in data science, with at least 3 years in a leadership role.
• Proven expertise in ML, statistical modeling, and data mining on complex datasets.

Responsibilities

• Lead design and execution of analytical projects on large-scale genomic and clinical datasets.
• Develop, implement, and validate ML models and statistical methods for variant calling and predictive modeling.
• Mentor and manage a team of data scientists and bioinformaticians.
• Collaborate with biologists and clinicians to define research questions and interpret results.
• Oversee scalable data analysis pipelines and infrastructure.
• Communicate findings to technical and non-technical audiences through reports and presentations.

Skills

Machine learning

Statistical modeling

Python

R

Data mining

Leadership

Education

Ph.D. in Data Science or related

M.S. in Data Science or related

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Our client is seeking an experienced and visionary Remote Lead Data Scientist to drive innovation in genomics analysis. This is a fully remote position, offering the flexibility to work from anywhere while leading a team of talented data scientists and bioinformaticians. You will be instrumental in developing and implementing advanced analytical strategies to extract meaningful insights from vast genomic datasets, supporting critical research and development initiatives. The ideal candidate will possess a strong quantitative background, deep expertise in machine learning and statistical modeling, and a passion for applying these skills to complex biological problems. You will collaborate closely with research scientists and clinicians, translating complex genomic information into actionable strategies for disease research and therapeutic development. This role offers a unique opportunity to shape the future of data-driven genomic research.

Key Responsibilities

• Lead the design and execution of sophisticated analytical projects on large-scale genomic and clinical datasets.
• Develop, implement, and validate novel machine learning models and statistical methods for variant calling, association studies, and predictive modeling.
• Mentor and manage a team of data scientists, fostering a culture of collaboration, innovation, and scientific rigor.
• Collaborate with biologists and clinicians to define research questions, interpret results, and drive discovery.
• Oversee the development and maintenance of scalable data analysis pipelines and infrastructure.
• Communicate complex findings effectively to both technical and non-technical audiences through presentations and reports.

Requirements

• Ph.D. or M.S. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with at least 3 years in a leadership or management role.
• Proven expertise in applying machine learning, statistical modeling, and data mining techniques to complex datasets.
• Strong programming skills in Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Extensive experience with analyzing next-generation sequencing (NGS) data, including whole-genome and whole-exome sequencing.
• Excellent communication, leadership, and project management skills, with demonstrated ability to work effectively in a remote team environment.

Benefits

• Highly competitive salary and significant performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and ongoing professional development.
• Flexible working hours and full remote work flexibility.
• Opportunity to lead cutting-edge projects in the rapidly evolving field of genomics.
• A collaborative and supportive virtual work culture with ample growth opportunities.