Lead Data Scientist - Genomics

Placements24; Kimberley; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Home office setup allowance

Professional development

Flexible hours

Job summary

Placements24 is seeking an experienced Lead Data Scientist focused on genomics for a fully remote role. You will lead a team of data scientists and bioinformaticians, shape research directions, and translate complex data into actionable insights for accelerated discovery and therapy development.

You will guide cross-functional projects, design advanced ML models, and communicate results to stakeholders while fostering a high-performing remote team.

Qualifications

• PhD or Master's in a quantitative field with genomics focus.
• 7+ years in data science with genomics/bioinformatics emphasis.
• Proven leadership of technical teams and projects.

Responsibilities

• Lead design and implementation of ML models for genomic data.
• Mentor a team of data scientists and bioinformaticians.
• Collaborate with geneticists, biologists and clinicians.
• Oversee robust analytical pipelines for WGS, WES, RNA-seq.
• Present findings to technical and non-technical stakeholders.
• Stay updated on advances in data science and genomics.

Skills

Genomics experience

Team leadership

Python

R

Machine learning

Communication

Education

PhD or Master's in Data Science

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking an experienced and visionary Lead Data Scientist specializing in Genomics for a fully remote position. This leadership role is pivotal in driving the development and application of advanced analytical methods to interpret large-scale genomic datasets. You will lead a team of data scientists and bioinformaticians, guide strategic research directions, and collaborate with cross-functional teams to extract actionable insights that accelerate biological discovery and therapeutic development. This is a unique opportunity to shape the future of genomic data analysis and contribute to impactful scientific breakthroughs from your own workspace.

Key Responsibilities

• Lead the design, development, and implementation of cutting-edge machine learning and statistical models for genomic data analysis.
• Manage and mentor a team of data scientists and bioinformaticians, fostering a collaborative and high-performing environment.
• Collaborate closely with geneticists, biologists, and clinicians to identify key research questions and translate them into data-driven projects.
• Oversee the development of robust analytical pipelines for processing and interpreting diverse genomic datasets (e.g., WGS, WES, RNA-seq).
• Present complex findings and strategic recommendations to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and genomics, and champion their adoption.

Requirements

• PhD or Master's degree in Data Science, Computer Science, Statistics, Bioinformatics, or a related quantitative field.
• Minimum of 7 years of professional experience in data science, with a significant focus on genomics or bioinformatics.
• Proven experience leading technical teams and managing complex data science projects.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and their application to biological data.
• Excellent communication, leadership, and problem-solving skills, suited for a remote leadership role.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for home office setup and continuous professional development.
• Flexible work hours and the autonomy of a fully remote work environment.
• Opportunity to lead high-impact projects at the forefront of genomic data science.