Remote Lead Computational Biologist

Placements24; Kimberley; Hybrid; CAD 180,000 - 240,000; Full time

Benefits offered by this job

Executive-level salary

Remote work flexibility

Health, dental, and vision insurance

Home office stipend

Professional development funds

Job summary

Placements24 is seeking a Lead Computational Biologist to drive insights from genomics, transcriptomics, and proteomics in a fully remote research setting. You will guide a team, define strategic directions, and collaborate across functions to translate data into therapeutic strategies.

The role requires a PhD and 8+ years of leadership in computational biology, with strong Python/R skills and ML expertise. Expect executive-level compensation and extensive remote collaboration.

Qualifications

• PhD in computational biology, bioinformatics, CS, statistics or a related quantitative field.
• 8+ years leading computational biology or bioinformatics projects.
• Experience analyzing genomics, transcriptomics, and proteomics data with Python/R.

Responsibilities

• Lead design and execution of computation biology projects on large-scale omics data.
• Develop algorithms and statistical models for data analysis.
• Mentor and manage a team of computational biologists.
• Collaborate with experimental scientists to define objectives and strategies.
• Communicate complex findings to leadership and scientific teams.
• Stay at the forefront of computational biology and integrate new tech.

Skills

Leadership

Python

R

Statistical methods

Machine learning

Education

Ph.D. in Computational Biology or related field

Tools

Bioconductor

Job description

About the Role

Our client is seeking a highly accomplished and innovative Lead Computational Biologist to join their fully remote, forward-thinking research organization. This leadership position is central to driving insights from complex biological datasets, including genomics, transcriptomics, and proteomics, to accelerate drug discovery and development. You will guide a team of computational biologists, define strategic research directions, and collaborate virtually with cross-functional teams to translate data into biological understanding and actionable therapeutic strategies.

Key Responsibilities

• Lead the design and execution of computational biology projects utilizing large-scale omics datasets.
• Develop and implement advanced algorithms and statistical models for biological data analysis and interpretation.
• Mentor and manage a team of computational biologists, fostering a collaborative and productive research environment.
• Collaborate closely with experimental biologists, geneticists, and clinicians to define research objectives and analytical strategies.
• Communicate complex findings and project progress effectively to diverse audiences, including leadership and scientific teams.
• Stay at the forefront of computational biology advancements and integrate new technologies into the research workflow.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• 8+ years of experience in computational biology or bioinformatics, with a proven track record of leadership.
• Expertise in analyzing diverse omics datasets (genomics, transcriptomics, proteomics) using modern computational tools and programming languages (e.g., Python, R).
• Strong understanding of statistical methods, machine learning, and pathway analysis relevant to biological systems.
• Demonstrated ability to manage projects, lead teams, and drive scientific innovation.
• Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly.

Benefits

• An executive-level salary with a substantial annual bonus based on performance and company milestones.
• Remote work flexibility, allowing you to work from anywhere.
• Comprehensive health, dental, and vision insurance coverage for you and your dependents.
• Generous allowance for home office setup and professional development funds.
• Opportunity to work on impactful projects at the cutting edge of biological research and contribute to groundbreaking discoveries.