Senior Data Engineer

1 month ago

Boston, United States Panda Intelligence Full time

A boutique consultancy specializing in Data Science support and strategy is seeking a Senior Data Engineer to support a large drug discovery project with a leading commercial Biopharma firm in Boston. Candidates are required to have 7+ years of experience in Python, experience with Nextflow and previous experience partnering with or working in Life Sciences firms is preferred.

Key Responsibilities:

  • Design and implement scalable data pipelines for drug discovery and development using Python, Nextflow, and AWS.
  • Collaborate with cross-functional teams, including biologists, bioinformaticians, and computational scientists, to develop workflows for analyzing large datasets (e.g., genomic, proteomic).
  • Optimize and automate bioinformatics workflows in the cloud to handle complex datasets.
  • Ensure performance, reliability, and cost-effectiveness of cloud infrastructure (AWS) for computational processes.
  • Use modern data engineering practices to solve complex scientific problems in a fast-paced biotech environment.
  • Mentor and guide junior team members in best practices for scalable cloud computing and workflow automation.

Required Skills & Qualifications:

  • 7+ years of professional experience in data science or software engineering, with a focus on biotech or pharma projects.
  • Full proficiency in Python for scientific computing, data manipulation, and workflow automation.
  • Experience with Nextflow (or similar workflow management tools like Snakemake, Cromwell) for building complex bioinformatics pipelines.
  • Hands-on experience with AWS (e.g., EC2, S3, Lambda, Batch, CloudFormation) for deploying and managing scalable workflows in the cloud.
  • Familiarity with containerization tools like Docker and orchestration tools like Kubernetes is a plus.
  • Solid understanding of bioinformatics tools and computational methods in genomics, proteomics, or other omics fields is a plus.

Preferred Qualifications:

  • Familiarity with machine learning or AI tools used in drug discovery is a strong advantage.
  • Experience with distributed computing systems (HPC, AWS Batch, or Lambda).
  • Knowledge of compliance and security standards in cloud computing for regulated industries like pharma.


If interested, please apply below and share with your network.

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