Machine Learning Data Engineer (Nextflow/Python)

Location: Site-based hybrid role in Cambridge, Massachusetts, United States. Candidates must have permanent U.S. work authorization; visa sponsorship is not available. Relocation assistance may be available based on business needs and eligibility.

Salary: $106,000–$176,600 annual base salary, plus a 15% bonus target and eligibility for a share-based long-term incentive program.

Company

hirify.global is a pharmaceutical research and development company advancing medicines through biological science, clinical research, and AI-enabled discovery.

What you will do

• Develop, deploy, operate, upgrade, and optimize production-grade Nextflow pipelines on cloud infrastructure.
• Manage workflow lifecycles and improve pipeline reliability, performance, scalability, and reproducibility.
• Implement DevOps practices, including CI/CD, automation, and engineering tooling for pipelines and platform services.
• Process, harmonize, and integrate single-cell omics, transcriptomics, ATAC-seq, proteomics, functional genetics, and genetics data for machine learning training and inference.
• Develop an omics data platform that delivers scalable and reliable data products.
• Collaborate with scientists, computational biology teams, external technology partners, vendors, and academic or industry collaborators.

Requirements

• PhD in Computational Biology, Biology, Physics, Statistics, or a related technical discipline, or a relevant master's degree with at least two years of experience developing data products and data integration solutions.
• Experience analyzing single-cell or NGS, functional genomics, genetics, or proteomics data.
• Hands-on experience developing Nextflow pipelines for NGS data processing.
• Strong full-stack programming skills with a focus on Python.
• Experience solving complex analyses and problems in a timely manner.
• Excellent communication and collaboration skills in cross-functional teams; permanent U.S. work authorization is required.

Nice to have

• Experience or interest in life sciences, pharmaceutical research, drug discovery, or bioinformatics.
• Expertise in Python package development, DevOps, cloud architecture, CI/CD, and engineering tooling.
• Experience working with large heterogeneous datasets in drug discovery research.
• Experience with Claude Code or an equivalent tool.
• Strong publication record and demonstrated contributions to the field.

Culture & Benefits

• Hybrid, site-based work environment with collaboration across research, biology, AI, and computational science teams.
• Participation in hirify.global’s Global Performance Plan with a 15% bonus target.
• Eligibility for a share-based long-term incentive program.
• Benefits include a 401(k) plan with matching and retirement contributions, paid vacation, holidays, personal days, caregiver and medical leave, and medical, prescription, dental, and vision coverage.