Senior R&D Engineer

You Will:

• Design and execute experiments with various off-the-shelf ML models and training methods to determine evaluation criteria and select the best fit for each project
• Continuously track advancements in ML and AI, readily testing and applying new models to projects
• Integrate POCs into existing data tools and pipelines, and determine how existing pipelines and databases can be applied to discovery projects
• Leverage data from other teams to enhance discovery efforts
• Implement robust testing strategies and debug code errors efficiently to ensure data pipeline code quality
• Optimize ML pipelines for performance and scalability, balancing speed with code quality to minimize technical debt
• Utilize off-the-shelf models and APIs (e.g., LLM) to fine-tune models with datasets and creatively apply LLMs to build data collection pipelines with API calls
• Become an expert in at least one of the company's pipeline tools (Dataflow, BigQuery, Workflows) and master at least one internal pipeline tool (PipelinesV2, BQBT, Control Plane) to design and extend data models and data contracts owned by the team
• Actively collaborate with other teams, openly communicate successes and failures, and demonstrate a balanced approach to goal-setting that considers project complexities and resources
• Effectively communicate timelines and potential challenges to stakeholders, and proactively work with them to address concerns and ensure smooth transitions, especially during technology hand-offs and integrations
• Embrace a "fail fast" mentality, working independently and taking initiative to proactively test solutions, learn from failures, and effectively manage dependencies
• Be spontaneous and action-oriented, prioritizing action over extensive documentation, and timebox projects effectively, demonstrating a data-driven approach to success evaluation
• Develop and implement POC code quickly to demonstrate new ideas and applications, while ensuring code efficiency and scalability. Proactively test innovative code solutions and methodologies
• Collaboratively build components of a larger system without supervision, while minimizing technical debt and resolving system flaws. Maintain a comprehensive understanding of how individual components contribute to the overall system architecture
• Actively share R&D discoveries and knowledge across the organization, becoming a subject matter expert in at least one core language, framework, or technology used by the Discovery Team
• Showcase your expertise in the "discovery" codebase, stay updated on bleeding-edge technologies, and evaluate their potential application to existing projects while considering project requirements, stack considerations, and opportunity costs.

You Have:

• A MSc degree in life sciences (e.g. molecular genetics, cell biology, pharmacology, etc. ), PhD preferred
• 4+ years of experience as a professional developer
• Expertise in Python and programming fundamentals
• Expertise in intermediate/advanced SQL and BigQuery or similar serverless data warehousing solutions
• Experience with statistical analysis of datasets
• Experience with LLMs or multimodal LMs or Agentic ML or Reinforcement Learning
• Experience with cloud reference architectures for common patterns in data pipelines
• Strong cross-team communication and collaboration skills.