Lead Data Scientist - Genomics Analysis

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

Benefits offered by this job

Remote-friendly

Competitive compensation

Cloud computing resources

Professional development

Job summary

Placements24 seeks a Lead Data Scientist to drive genomic data analysis in a fully remote R&D division. You will steer a team of data scientists and work closely with researchers to push the frontiers of genomic discovery.

You will architect ML models for genomic data, manage end-to-end cloud workflows, and mentor the team, while communicating complex results to diverse stakeholders across a distributed environment.

Qualifications

• Master's or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field.
• Minimum of 7 years in data science, with at least 3 years in a leadership role.
• Demonstrated expertise in machine learning algorithms, statistical modeling, and programming (Python, R).
• Experience working with large-scale genomic datasets and bioinformatics tools.
• Proven ability to manage projects, mentor teams, and deliver data-driven solutions.
• Excellent presentation and communication skills for remote collaboration.

Responsibilities

• Lead the design, development, and implementation of ML models for genomic data analysis.
• Oversee data science workflow from data acquisition to deployment in the cloud.
• Mentor and guide a team of data scientists for technical growth and delivery.
• Collaborate with researchers to define objectives and translate into data science strategies.
• Develop scalable solutions for analyzing genomic, transcriptomic, and proteomic data.
• Communicate findings and recommendations to technical and non-technical stakeholders.

Skills

Genomics data analysis

Leadership

Mentoring

Communication

Python

R

Statistical modeling

Cloud environments

Education

Master's or Ph.D. in Data Science/related field

Tools

Python

R

Bioinformatics tools

Cloud platforms

Job description

About the Role

Our client is seeking a visionary Lead Data Scientist to spearhead genomic data analysis initiatives within their fully remote R&D division. You will be instrumental in leveraging advanced data science techniques to unlock critical insights from complex genomic datasets, guiding a team of talented data scientists and collaborating closely with researchers. This role is crucial for advancing our client's research agenda, requiring a blend of technical expertise, strategic thinking, and leadership acumen in a distributed work environment. You will shape the future of our data-driven scientific discovery and foster a culture of innovation and continuous learning amongst your remote colleagues.

Key Responsibilities

• Lead the design, development, and implementation of sophisticated machine learning models for genomic data analysis.
• Oversee the entire data science workflow, from data acquisition and preprocessing to model evaluation and deployment in a cloud environment.
• Mentor and guide a team of data scientists, fostering their technical growth and project delivery.
• Collaborate with cross-functional teams to define research objectives and translate them into actionable data science strategies.
• Develop scalable solutions for analyzing large volumes of genomic, transcriptomic, and proteomic data.
• Communicate complex analytical findings and strategic recommendations to both technical and non-technical stakeholders.

Requirements

• Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with at least 3 years in a leadership role.
• Demonstrated expertise in machine learning algorithms, statistical modeling, and programming languages (Python, R).
• Significant experience working with large-scale genomic datasets and relevant bioinformatics tools.
• Proven ability to manage projects, mentor teams, and deliver impactful data-driven solutions.
• Excellent presentation and communication skills, essential for remote collaboration.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive benefits including health, dental, and vision insurance.
• Flexible work hours and generous remote work allowance.
• Access to state-of-the-art cloud computing resources.
• Opportunities for career advancement and continuous professional development.