Remote Lead Data Scientist - Genomics

About the Role

Our client is seeking an experienced and innovative Lead Data Scientist with expertise in Genomics to join their fully remote, data-driven research team. This senior role is essential for developing and implementing advanced analytical strategies to extract actionable insights from massive genomic datasets, accelerating our discovery programs. You will lead data science initiatives, mentor junior team members, and collaborate with cross-functional teams to tackle complex biological challenges. This is an outstanding opportunity for a seasoned professional who excels in a remote setting, driving scientific progress through cutting-edge data analysis and computational modeling, contributing to a culture of intellectual curiosity and impactful research.

Key Responsibilities

• Lead the development and application of advanced statistical and machine learning models for genomic data analysis.
• Design and implement robust data analysis pipelines for large-scale sequencing data.
• Collaborate with biologists and bioinformaticians to define research questions and interpret findings.
• Mentor and guide junior data scientists, fostering best practices in coding and analysis.
• Present complex analytical findings to both technical and non-technical audiences.

Requirements

• PhD in Bioinformatics, Statistics, Computer Science, or a related quantitative field with a focus on genomics.
• 7+ years of experience in data science, with a significant portion focused on analyzing genomic data.
• Expertise in programming languages (Python, R) and relevant libraries for data analysis and machine learning.
• Deep understanding of genomic data types (e.g., WGS, WES, RNA-Seq) and analytical methodologies.
• Proven ability to lead projects and communicate effectively in a remote team environment.

Benefits

• Highly competitive remote salary and significant bonus potential.
• Premium health, dental, and vision coverage.
• Flexible working hours and remote work setup support.
• Generous budget for professional development, conferences, and training.
• Collaborative and inclusive remote work culture.