Staff Engineer, Research Informatics and AI

Superluminal Medicines Inc.

Boston (MA)

On-site

USD 191,000 - 219,000

Full time

5 days ago
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Benefits offered by this job

Bonus and equity
Massachusetts transportation subsidy
Unlimited paid time off
Career growth opportunities

Job summary

Superluminal Medicines is seeking a Staff Engineer to design and build software that moves experimental data through our platform. You will own critical systems at the intersection of software, scientific data, and research operations, including data ingestion, registration, and workflow integrations.

The role demands high ownership: architect, implement, and collaborate with scientists to solve complex problems, while advancing scalable, observable systems in a modern drug discovery setting.

Qualifications

  • Bachelor's degree or equivalent in software/CS.
  • 5+ years of professional software engineering experience creating and operating production systems.
  • 3+ years of Python experience designing maintainable software.
  • Experience integrating data across APIs, databases, files, and third-party platforms.
  • Experience with containers and modern deployment with Docker/Kubernetes.
  • Experience designing scalable software architecture and REST APIs.
  • Experience with GCP and cloud-native architectures.
  • Experience leading SQL queries and production data pipelines.
  • Experience with automated testing, CI/CD, monitoring, and incident handling.

Responsibilities

  • Design, build, and operate production software for scientific data and wet lab workflows.
  • Own architecture for compound registration, data ingestion, validation, transformation, publishing.
  • Build reliable integrations across apps, APIs, cloud services, and databases.
  • Develop backend services, data pipelines, internal apps used by scientists.
  • Create observable, testable, resilient systems for growing data volumes.
  • Collaborate with scientists to translate workflows into technical solutions.
  • Improve data quality and reliability with validation, testing, and monitoring.
  • Establish strong engineering practices around code quality, CI/CD, and deployment.

Skills

Python
REST APIs
CI/CD
Cloud architectures

Education

Bachelor's degree in Software Engineering or Computer Science

Tools

Docker
Kubernetes
BigQuery
dbt
Dagster
SQL
LIMS/ELN tooling

Job description

About Superluminal Medicines

Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company's platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.

About the Role

We are seeking a Staff Engineer to design and build the software systems that power how experimental data moves through Superluminal Medicines. You will own critical systems at the intersection of software engineering, scientific data, and research operations, including compound registration, experimental data ingestion, scientific system integrations, and the infrastructure that connects wet lab workflows to our broader data platform.

This is a high-ownership engineering role. You will be expected to design production systems, make architectural decisions, write high-quality software, and work directly with scientists to solve complex technical problems. The ideal candidate is a strong software engineer who is excited by difficult integration challenges, evolving requirements, and the opportunity to build foundational systems in a modern drug discovery organization.

Key Responsibilities
  • Design, build, and operate production software systems supporting scientific data and wet lab workflows.
  • Own the architecture and implementation of systems for compound registration, experimental data ingestion, validation, transformation, and publishing.
  • Build reliable integrations across internal applications, APIs, cloud services, databases, and third-party scientific platforms.
  • Develop backend services, data pipelines, and internal applications used directly by scientists and research teams.
  • Design systems that are observable, testable, resilient, and maintainable as scientific workflows and data volumes scale.
  • Work directly with scientists to understand operational problems, identify root causes, and translate ambiguous workflows into clear technical solutions.
  • Improve data quality and system reliability through validation frameworks, automated testing, monitoring, and well-defined interfaces.
  • Establish strong engineering practices around code quality, CI/CD, deployment, documentation, and operational ownership.
Minimum Qualifications
  • Bachelor's degree in Software Engineering, Computer Science, Information Technology, or a related field; or equivalent professional experience.
  • 5+ years of professional software engineering experience building and operating production systems.
  • 3+ years of Python experience designing maintainable and well-tested software.
  • Experience building systems that integrate data across APIs, databases, files, asynchronous processes, and third-party platforms.
  • Experience with containers and modern deployment patterns using Docker and Kubernetes.
  • Experience designing scalable software architecture and making technical design decisions
  • Experience designing and consuming REST APIs.
  • Experience developing production systems on Google Cloud Platform and cloud-native architecture.
  • Experience leading SQL queries, designing relational data models, and developing production data pipelines or workflows.
  • Experience developing and operating production software using automated testing, CI/CD pipelines, application monitoring, logging, and incident troubleshooting practices.
Preferred Qualifications
  • 8+ years of professional software engineering experience building and operating production systems.
  • Experience in biotechnology, pharmaceuticals, life sciences, or another technically complex scientific environment.
  • Experience with LIMS, ELNs, compound registration systems, laboratory informatics, inventory platforms, or scientific instruments.
  • Experience with drug discovery data, including compounds, assays, experimental results, and scientific metadata.
  • Experience with BigQuery, dbt, Dagster, or similar modern data platforms and orchestration tools.
  • Experience building internal tools or user-facing applications for technical users.
  • Experience with scientific Python, cheminformatics, or bioinformatics workflows.
  • Experience with infrastructure-as-code and cloud security best practices.
  • Experience modernizing manual, fragmented, or vendor-dependent operational workflows.
Pay Range

$191,425 - $219,240
The annual base salary range listed above represents the lowest and highest amounts we reasonably and in good faith expect to pay for this position at the time of posting. An individual's starting base salary within this range will be based on relevant experience, job-related skills, and education relevant to the role. In addition to base salary, this position offers bonus and equity opportunities, as well as benefits.

Benefits

Superluminal offers a comprehensive benefits package that fully covers employees' annual deductibles and monthly premiums for medical, dental, and vision insurance. The package also includes a 401(k) match program, a Massachusetts transportation subsidy, equity, unlimited paid time off, and both disability and life insurance.

Equal Opportunity Statement

Superluminal Medicines is an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status.

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