Senior Data Engineer

5 days ago


Boston, Massachusetts, United States Panda Intelligence Full time
Senior Data Engineer

Panda Intelligence is seeking a highly skilled Senior Data Engineer to join our team in Boston. As a key member of our Data Science team, you will play a critical role in designing and implementing scalable data pipelines for drug discovery and development using Python, Nextflow, and AWS.

Key Responsibilities:
  • Data Pipeline Design and Implementation: Design and implement scalable data pipelines for drug discovery and development using Python, Nextflow, and AWS.
  • Collaboration and Communication: Collaborate with cross-functional teams, including biologists, bioinformaticians, and computational scientists, to develop workflows for analyzing large datasets (e.g., genomic, proteomic).
  • Workflow Optimization and Automation: Optimize and automate bioinformatics workflows in the cloud to handle complex datasets.
  • Cloud Infrastructure Management: Ensure performance, reliability, and cost-effectiveness of cloud infrastructure (AWS) for computational processes.
  • Mentorship and Guidance: Mentor and guide junior team members in best practices for scalable cloud computing and workflow automation.
Required Skills and Qualifications:
  • Professional Experience: 7+ years of professional experience in data science or software engineering, with a focus on biotech or pharma projects.
  • Python Proficiency: Full proficiency in Python for scientific computing, data manipulation, and workflow automation.
  • Nextflow Experience: Experience with Nextflow (or similar workflow management tools like Snakemake, Cromwell) for building complex bioinformatics pipelines.
  • AWS Experience: Hands-on experience with AWS (e.g., EC2, S3, Lambda, Batch, CloudFormation) for deploying and managing scalable workflows in the cloud.
  • Containerization and Orchestration: Familiarity with containerization tools like Docker and orchestration tools like Kubernetes is a plus.
Preferred Qualifications:
  • Machine Learning and AI: Familiarity with machine learning or AI tools used in drug discovery is a strong advantage.
  • Distributed Computing: Experience with distributed computing systems (HPC, AWS Batch, or Lambda).
  • Compliance and Security: Knowledge of compliance and security standards in cloud computing for regulated industries like pharma.

If you are a motivated and experienced Senior Data Engineer looking to join a dynamic team, please apply below and share with your network.



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