Design, implement, and maintain reusable Python libraries for scientific and image analysis and quality control.
Build and operate reproducible analysis pipelines integrated with workflow-management and scientific data systems.
Define data models for raw data, experimental metadata, derived results, and analysis provenance across experimental assays.
Partner with wet-lab and computational scientists to translate scientific questions into requirements, validated methods, and maintainable software.
Establish testing, validation, versioning, observability, and failure-handling practices for scientific workflows.
Evaluate external methods and tools, make build-versus-buy decisions, and define evolvable system interfaces.
Balance immediate experimental needs with shared infrastructure investments that improve consistency, interoperability, and research velocity.
Requirements
Strong software engineering experience in Python, including API design, testing, packaging, code review, and collaborative development with Git.
Experience designing and implementing image-analysis pipelines for scientific data and selecting, configuring, and validating classical or learned methods.
Experience with rigorous scientific computing practices, including quantitative validation, quality control, reproducibility, provenance, and explicit failure-mode handling.
Experience building production or research workflows with an orchestration system such as Dagster, Prefect, or Airflow.
Experience working directly with wet-lab scientists to clarify ambiguous needs, communicate trade-offs, and develop scientifically valid solutions.
Ability to distinguish assay-specific requirements from reusable infrastructure and make trade-offs involving delivery speed, maintainability, reliability, performance, and cost.
Demonstrated ownership and judgment in breaking ambiguous work into milestones, surfacing risks, and independently driving projects to completion.
Helpful qualifications include experience with Bazel or another large monorepo build system, next-generation sequencing, spatial omics, ultrasound, other scientific data modalities, or early-stage research environments.
Salary: $185k - $225k/yr
Merge Labs
Merge Labs is a research lab with the long-term mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. Join us: merge.io/careers