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# Scientist, Genetic Data and Informatics

- **Company:** Alnylam Pharmaceuticals, Inc.
- **Location:** Cambridge, MA, United States
- **Salary:** $110,400.0 - $165,600.0
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Bioinformatics, Code Review, Continuous Integration, Issue Tracking Systems, Python (Programming Language), Software Organization, Software Repository, Scripting, Containerization, Information Technology, Data Management, Software Version Control, Docker
- **Published:** July 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87727822/1

## About the Role

* PhD in Bioinformatics, Computer Science, Statistical Genetics, or related field. Title is commensurate with experience.
 * Experience developing robust and reliable scientific software in Python. Familiarity with R is useful to support collaboration with and support for statistical genetics colleagues.
 * Hands-on experience building and executing portable pipelines across cloud environments using standard workflow languages (e.g., CWL, WDL, Nextflow) and containerization (e.g. Docker, Singularity).
 * Familiarity with software development best practices, including issue tracking, version control, automated testing, and CI/CD.
 * Extensive experience working with biobank-scale genetic and phenotypic data. Familiarity with OMOP and tools in the OHDSI ecosystem is preferred.
 * Demonstrated experience executing genomics pipelines within at least one Trusted Research Environment (e.g., UK Biobank RAP, All of Us Researcher Workbench).
 * Familiarity with statistical genetics, including GWAS and RVAS methods (e.g., single-variant testing, burden tests, SKAT) and relevant software (e.g., REGENIE, PLINK).
 * Familiarity with variant-to-gene post-GWAS methods (statistical fine mapping, colocalization, Mendelian Randomization).
 * Excellent communication skills; ability to work collaboratively and cross-functionally.

## Description

* Collaborate with statistical geneticists to translate research algorithms and analyses into robust, reproducible software and pipelines.
 * Develop and maintain bioinformatics pipelines for the intake, harmonization, and quality control of individual-level biobank genomic and health data.
 * Develop and maintain statistical genetics pipelines for execution across multiple cloud-based platforms and Trusted Research Environments (TRE).
 * Design and implement validation pipelines and quality gates for new datasets.
 * Contribute to the design and implementation of integration solutions across TREs and data platforms, ensuring clear data provenance across systems.
 * Assist in the formalization and development of phenotyping algorithms for large-scale analysis and expert phenotype curation.
 * Work with our managed infrastructure partner to coordinate engineering tasks.
 * Maintain Git repositories, participate in code review, author automated tests, and support CI/CD pipeline development and maintenance.
 * Support scientific operations through data management, scripting, automation, and other informatics tasks as needs evolve.


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