Senior Principal Software Engineer

Harnham; United States; On-site; USD 195,000 - 220,000; Full time

Job summary

Join an innovative AI-native biotechnology company dedicated to transforming cancer treatment through precision immunotherapies. As a Senior/Principal Software Engineer, you'll design and build scalable systems to process large-scale data, directly impacting the integration of computational biology and machine learning. This is a unique opportunity to work in a mission-driven environment where your contributions can lead to significant advancements in cancer care. If you're passionate about making a difference in healthcare and thrive in a collaborative startup atmosphere, we want to hear from you!

Benefits

Equity options

Collaborative work environment

Impactful work in cancer research

Qualifications

• 5+ years of relevant experience in software engineering.
• Expertise in AWS and Python for data processing.

Responsibilities

• Design and build scalable systems for data ingestion and processing.
• Collaborate with cross-functional teams for data analysis tools.

Skills

AWS

Python

Data ingestion and processing systems

Cloud-based data pipelines

Data visualization infrastructure

Problem-solving

Project ownership

Tools

Spark

Ray

Iceberg

Kubernetes

DBT

Dagster

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$195,000.00/yr - $220,000.00/yr

Direct message the job poster from Harnham

This innovative AI-native biotechnology company is focused on transforming cancer treatment through precision immunotherapies. By leveraging self-supervised learning and multimodal human data, they aim to accelerate the discovery of novel therapies that can significantly improve patient outcomes.

Join a rapidly growing startup at the forefront of cancer therapeutics, where the opportunity to make a meaningful impact is immense.

THE ROLE

As a Senior/Principal Software Engineer, you'll be tasked with designing and building scalable systems to ingest and process large-scale multimodal data generated in the company's laboratory. Your work will directly support the integration of computational biology, data science, and machine learning efforts, driving innovation in precision immunotherapy.

This is an exciting opportunity to build systems in a mission-driven environment that is transforming cancer care.

ROLE RESPONSIBILITIES

• System Design & Development: Build and maintain data ingestion, processing, and observability systems with lab and computational biology teams.
• Cross-Functional Collaboration: Partner with data science, computational biology, and ML teams to create scalable tools for data analysis and visualization.
• Data Infrastructure: Ensure data pipelines are robust, efficient, and scalable for large data volumes.
• Problem Solving & Innovation: Design production-grade software solutions to meet internal data consumer needs, ensuring high-quality systems.

SKILLS & EXPERIENCE

Must-Have:

• Expertise in AWS (SageMaker a plus)
• Proficient in Python
• Experience with large-scale data ingestion and processing systems
• Hands-on with cloud-based data pipelines (AWS)
• Strong background in data visualization infrastructure
• 5+ years of relevant experience
• Proven problem-solving ability and track record of delivering impactful software solutions.
• Ownership of an entire scope of a project

Nice-to-Have:

• Biotech or scientific experience
• Data Lake Tech: Spark, Ray or Iceberg
• Familiarity with Kubernetes, DBT, or Dagster
• Experience in environments with internal data consumers and cross-functional team collaboration.

BENEFITS

• Compensation: $195,000 - $220,000 base + equity
• Join an innovative biotech company with a mission that’s personally meaningful
• A collaborative, rapidly growing environment where your work can have a lasting impact on cancer research and treatment.

If you're excited to shape the future of precision immunotherapy and develop systems that support cutting-edge research in cancer treatment, we’d love to hear from you!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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