Biological Data Scientist

About the position

We are seeking an enthusiastic and self-driven Biological Data Scientist to join our Pioneering Intelligence team. This role involves developing and deploying data-driven solutions that align with our digital strategy and help support our early-stage explorations and new ventures. The ideal candidate will balance the buy vs. build approach, be resourceful, and continuously seek opportunities to learn and improve, and actively contribute to organizing meetings and engagements within the Flagship community.

Responsibilities

• Conduct multi-omic analyses of samples, support experimental design, scientific strategy, and communicate those results effectively.
• Stay updated on the latest in commercial, open-source technologies and publications to ensure innovation, efficiency and provide recommendations.
• Identify and integrate high-value third-party datasets to accelerate scientific progress that could benefit the portfolio.
• Work closely with AI/ML teams to apply advanced solutions to complex scientific problems.
• Help initiate, assist and organize various technical Flagship community events and learnings (such as trainings, best practices, etc).

Requirements

• PhD or MS degree in computational biology, bioinformatics, data science, or a related field, with equivalent experience.
• At least 2 years of industry experience, preferably in a startup environment.
• Strong background in statistics, with experience applying statistical methods to biological data.
• Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, MLflow) and omic data analysis.
• Experience in software engineering, including Python, R, and workflow orchestration tools (e.g., Nextflow, Metaflow).
• Experience in using various AWS resources like S3, EC2, AWS Batch etc.
• Resourceful, adaptable, and committed to continuous learning and improvement.
• Excellent communication skills, with the ability to present results clearly to diverse audiences.
• Ability to thrive in a fast-paced, multidisciplinary biotech environment.