Bioinformatics Engineer

Job description

Bioinformatics Engineer🔍School of Medicine, Stanford, California, United States📁Information Analytics📅Jun 09, 2021 Post Date📅89909 Requisition #The Department of Medicine, Division of Cardiovascular Medicine is looking for a Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC) tasked with building a molecular map of physical activity (MoTrPAC - https://commonfund.nih.gov/moleculartransducers/overview). The Bioinformatics Core is supervised by co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler in the Division of Cardiovascular Medicine at Stanford University. Dr. Ashley’s research focuses on leveraging emerging technologies such as genomics and wearable sensors to provide insights into precision medicine (https://ashleylab.stanford.edu/). Dr. Wheeler’s research focuses on genomics, rare myocardial and skeletal muscle disease, and undiagnosed diseases (https://undiagnosed.stanford.edu). Group members have opportunities for cross-disciplinary collaboration and engagement with clinical, translational, wet lab, and dry lab researchers.

The BIC’s goal is to study the molecular changes that occur during and after exercise to advance the understanding of how physical activity improves and preserves health. This incredible infrastructure will manage, analyze and disseminate this resource to the research community through the Google Cloud Platform. 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.

We are seeking a highly talented and motivated Bioinformatics Engineer to support our pipeline and data analysis team. Your role will focus on the development of pipelines and tools for the comprehensive analysis of large amounts of molecular and clinical data being generated by the MoTrPAC consortium, with special emphasis on Metabolomics and Proteomics datasets. Your ability to understand biological experiments, and strong experience in analysis of biological large scale datasets, proficiency with programming languages, demonstrable exposure to high-performance computing environments and ability to participate in software development projects, will be a key resource in enabling high-quality data to flow through our systems to enable analytical insights. A complete application will include a cover letter.

Duties include:

  • Development of pipelines and tools for the comprehensive analysis of large amounts of molecular and clinical data being generated by the consortium, with special emphasis on Metabolomics and Proteomics datasets.
  • Perform analysis of molecular data with clinical outcomes. This includes developing robust molecular pipelines for processing of molecular data such as proteomics, metabolomics, microbiome, and rna-seq.
  • Interact with MoTrPAC team members as well as external software developers to implement new tools, algorithms, and updates.
  • Document and report as needed to fulfill grant and regulatory obligations. Collect, manage and clean datasets.
  • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
  • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
  • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
  • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
  • Analyze data processes in documentation.
  • Collaborate with faculty and research staff on data collection and analysis methods.
  • Provide documentation based on audit and reporting criteria to investigators and research staff.
  • Communicate with government officials, grant agencies and industry representatives.
*- The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

DESIRED QUALIFICATIONS:

  • Experience in systems biology approaches for data integration.
  • Experience developing tools for data analysis.
  • Proficiency in python and/or R programming languages.
  • Experience with cloud computing environments.
  • Exposure to container systems such as setting up virtual machines and Docker instances.
  • Experience on a bioinformatics and/or software development team-based project.
  • Experience with statistical methods.
  • Biological domain knowledge (exercise science is a plus).
  • Experience with metabolomics / proteomics projects.
  • An understanding of data modeling including ontologies and database design.
  • Experience with experimental design protocols.

EDUCATION & EXPERIENCE (REQUIRED):

  • Bachelor's degree or a combination of education and relevant experience.
  • Experience in a quantitative discipline such as economics, finance, statistics, or engineering.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

  • Substantial experience with MS Office and analytical programs.
  • Strong writing and analytical skills.
  • Ability to prioritize workload.

PHYSICAL REQUIREMENTS*:

  • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
  • Occasionally use a telephone.
  • Rarely writing by hand.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

  • Some work may be performed in a laboratory or field setting.

WORK STANDARDS:

  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • •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 University's Administrative Guide, http://adminguide.stanford.edu.

Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:

  • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
  • A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
  • A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
  • Discovery and fun. Stroll through historic sculptures, trails, and museums.
  • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
*- Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Additional Information
  • Schedule: Full-time
  • Job Code: 4751
  • Employee Status: Regular
  • Grade: G
  • Requisition ID: 89909

 

 

 

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Job No:
Posted: 6/10/2021
Application Due: 6/21/2021
Work Type: Full Time
Salary: