Research Data Analyst

Description

We are seeking a highly motivated and skilled Genomic Data Manager to support and advance large-scale genomic research. The successful candidate will play a key role in managing, processing, and analyzing complex genomic datasets and developing scalable, reproducible workflows to facilitate discovery. Working closely with a diverse team of bioinformaticians, statisticians, programmers, and clinical researchers, the Genomic Data Manager will help ensure data quality, accessibility, and integrity across multiple research initiatives.

Oversee data acquisition, curation, and organization across multiple research projects.

Maintain data dictionaries, metadata, and documentation consistent with FAIR (Findable, Accessible, Interoperable, Reusable) data principles.

Strengthen data governance practices to ensure compliance, security, and transparency.

Collaborate with IT and data infrastructure teams to improve systems that support research data management.

Work collaboratively with multidisciplinary teams to translate complex data into meaningful insights.

Communicate findings effectively to both scientific and non-technical audiences.

Mentor trainees and junior staff to support skill development and knowledge sharing.

Contribute to the preparation of scientific manuscripts, reports, and presentations

Salary Range : $86,400-184,800 / year

Thisflexiblehybridroleallowsforablendofremoteandon-sitework,requiringpresenceon-siteatleasttwotimesaweek,andasneededbasedonoperationalrequirements.Pleasenote,traveltothe"homeoffice"locationisnotreimbursedEachemployeewillcompleteaFlexWorkAgreementwiththeirmanagertooutlineexpectationsandensuremutualunderstanding.Thesearrangementsareperiodicallyreviewedandmaybeadjustedorterminatedasnecessary.

Salaryoffersarebasedonavarietyoffactorsincludingqualifications,experience,andinternalequity. TheUniversityanticipatesofferingasalarybetweentheminimumandmidpointofthisrange.

Qualifications

Bachelor's degree in Computational Biology, Bioinformatics, Computer Science, or related field and at least two years of relevant experience, or an equivalent combination of education and experience .

Five years of experience in R, Python, or Perl is required

Three years of experience with Linux / Unix environments, HPC or cloud computing, and source control (Git)

Four years of hands-on experience with NGS data analysis and workflow management tools (e.g., Nextflow, Snakemake).

Design, develop, and maintain modular computational pipelines for genomic data validation.

Optimize workflows for scalability and efficiency in high-performance computing (HPC) or cloud environments.

Implement best practices in reproducibility through version control (Git) and containerization (e.g., Docker, Singularity).

Participate in benchmarking and continuous improvement of bioinformatics tools and infrastructure

Assist with bioinformatics and statistical analyses on large genomic and clinical datasets.

Conduct quality control, data validation, and reproducibility checks.

Assist investigators with genomic data queries and provide analytical and technical guidance.

Apply rigorous analytical approaches to ensure robust and unbiased results