Bioinformatics Engineer II (18 Month Fixed-Term) (Hybrid Opportunity) (Stanford)

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer II to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Ashleys research focuses on applying genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Wheelers research centers on integrating large-scale molecular and clinical data to understand the genetic basis of diseases and to develop novel therapeutic strategies.

In this role, you will focus on genome, epigenome, and transcriptome (GET) analyses (specifically WGS, ATAC-seq, and RNA-seq) running the pipelines and tools that convert raw sequencing data into clean, analysis-ready results for the consortium. You will architect and operate scalable workflows that adhere to best practices, including WGS variant calling and joint genotyping, RNA-seq quantification and differential expression, and ATAC-seq peak calling and differential accessibility. You will adapt rigorous QC frameworks across modalities; produce integrated multi-omics analyses (e.g., linking genetic variation, chromatin accessibility, and gene expression through eQTL / caQTL / colocalization); and deliver clear visualizations, genome browser tracks, and interactive dashboards that enable collaborative interpretation across teams.

Your work will span data engineering and software development : building reproducible pipelines with Nextflow and / or WDL / Cromwell, containerizing and testing them for reliable deployment on cloud and HPC environments; leveraging GCP services such as Cloud Storage and BigQuery; and designing robust schemas for omics metadata and results. You will apply software engineering best practices (version control, code review, automated testing, and documentation) while implementing data governance aligned with FAIR principles and secure handling of controlled-access human genomic data. As a key contributor to our public-facing portal (https : / / motrpac-data.org), you will help push the boundaries of biomedical data analytics to accelerate discovery and translation.

You will collaborate closely with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust computational analyses and to communicate findings in reports, presentations, and publications. Working within our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being.

This is an 18-month fixed term position. This is a hybrid eligible position.

Why Join Us?

• Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health.
• Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine
• Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases.
• Enjoy a collaborative and stimulating work environment at one of the top universities in the world.

If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter.

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Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the Universitys Administrative Guide, http : / / adminguide.stanford.edu / .< /