The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer 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. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies.
By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside 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. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications).
Responsibilities:
As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project.
Your primary responsibilities will include:
- Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data.
- Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity.
- Prepare reports and presentations to communicate findings with the team and the larger scientific community.
Qualifications:
To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site 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.
