Engineer, Software Engineering (Python)

Location: Cambridge, MA, USA; other location listed: FL103

Salary: $74,000–$126,500 annually

Company

hirify.global is an innovation enterprise that originates and develops companies focused on breakthrough technologies in health care, agriculture, and sustainability.

What you will do

• Learn how experiments, samples, computational outputs, and results are tracked, and identify opportunities to replace manual handling.
• Design reusable data models, schemas, interfaces, and workflows connecting computational screening with experimental records.
• Build and operate pipelines that parse heterogeneous records, harmonize metadata, validate results, and load laboratory, cloud, database, and external systems.
• Expose research data through APIs, visualizations, and AI-enabled interfaces.
• Configure shared AWS infrastructure safely and distinguish testing changes from production application.
• Preserve provenance, units, controls, and quality checks while collaborating directly with experimental scientists.

Requirements

• 3+ years of experience after an M.S., preferably in Computer Science; exposure to biology is preferred.
• Hands-on programming, effective orchestration of AI coding agents, or both, with the ability to specify architecture and constraints, validate implementations, and own the result.
• Data modeling experience with relational models, ORMs, sample and experiment identity, and query implications; current stack includes PostgreSQL on AWS RDS, SQLAlchemy, and Alembic.
• Python data engineering experience; Pandas, NumPy, and PyArrow are useful.
• Integration and automation experience with FastAPI, Benchling, REST, and MCP.
• Working knowledge of AWS, including S3, RDS, EC2, Secrets Manager, Bedrock, credentials, and permissions.
• Strong judgment regarding data integrity and demonstrated delivery.
• Biological knowledge is strongly preferred, including genes and proteins, cell types, antibody assays, transcriptomics, proteomics, controls, and replicates, plus comfort collaborating with experimental scientists.

Nice to have

• Laboratory automation connecting instruments or control systems to software and AWS.
• LLM applications involving structured extraction, evidence checks, evaluation, and cost control with Bedrock, Anthropic, or OpenAI.
• React/TypeScript, Vite, and Plotly.
• Familiarity with relational databases.

Culture & Benefits

• Healthcare coverage, an annual incentive program, retirement benefits, and other benefits are offered.
• Equal employment opportunity is provided regardless of legally protected characteristics.
• Application data is processed through Greenhouse and may be reviewed using AI-assisted screening tools.

Hiring process

• Applications are processed through Greenhouse; unsolicited resumes from recruitment or staffing agencies are not accepted unless the agency is contacted directly by hirify.global’s internal Talent Acquisition team.