We are looking for an informatics or data science applicant with experience working with mass spectrometry data for a position as an Informatics Specialist II in Mayo Clinic’s Advanced Diagnostics Laboratory. This individual should have experience working with bioinformatics methods and data types focused on mass-spectrometry (e.g., analysis and workflow development for proteomics, lipidomics, metabolomics, etc). Secondary experience with Next Generation Sequencing [NGS] data including RNA, DNA, miRNA, methylation, and ChiPSeq) or clinical informatics (e.g., Natural Language Processing [NLP] and Big Data concepts applied to electronic medical record) is preferred but not required. Experience supporting investigators in clinical or research activities is preferred.
Responsible for the design, prototype development, evaluation and maintenance of routine and custom bioinformatics pipelines for mass spectrometry data analysis. Evaluating current data analysis workflows and suggesting implementation of advanced proven alternate solutions. Maintains complete and accurate understanding of data generated and documents every step of data analysis performed. Oversees curation and sharing of mass spectrometry data and sample metadata from investigators. Proficient in developing in-house software using R or Python and using open-source software repositories like Bioconductor or Anaconda. Responsible for preparation of data for submission to public repositories and for publication. Assists in the investigation, evaluation, installation and decision-making processes prior to purchasing new laboratory equipment, instrumentation, computer software and hardware.
Prior experience integrating in-house as well as commercial and open-source software for mass spectrometry data analysis to meet project requirements. Engages with the mass spectrometry personnel to understand their needs and streamline the downstream data analysis workflows. Builds and tests automated workflows to carry out reproducible analysis of mass spectrometry data and develops schemes of data visualization and template reports. Performs analysis of structured and unstructured datasets to generate insights for selecting appropriate analytical techniques, sample group comparison(s) and interpretation of data. Develop predictive models through data mining techniques or machine learning and statistical modeling for analysis of large-scale datasets.
Conducts independent computational experiments and informs laboratory experimental design, leading to discovery and publication of novel insights and diagnostic assays. Follows advances in computational techniques for “omics” data analysis methodologies. Evaluates best analysis techniques and integrates them into practice. Shares findings with the team on a regular basis and prepares standard operating procedures (SOPs).
A successful candidate can work independently or as part of a team on the development of databases, software applications and/or on the application of existing tools to support scientific projects. Strong knowledge of resources available online (databases, applications) as well as intra-mural resources. Strong knowledge of the methods that are used to solve domain specific problems. Utilizes scientific best practices when implementing, applying data analysis methods and interpreting the results of data analysis. Contributes to grant and report writing and might be invited to contribute to scientific publications.
Master’s degree in domain-relevant sciences (biology, chemistry, mathematics, physics, statistics or health sciences) or domain informatics (computational biology, computational chemistry, bioinformatics, clinical informatics, medical imaging, and medical informatics) and 3 years of relevant experience.
*** PhD in proteomics preferred ***
Ability to function as an informatics resource and mentor. Outstanding written and oral communication skills. Ability to prioritize, organize, and delegate various tasks on multiple, concurrent projects. Demonstrated success as an independent consulting informatics specialist on projects. Frequently demonstrated initiative/innovation in administration, education (seminars, training), software development, and technical reports. Strong project management skills.
Demonstrated application of proteomics software, sample processing methods, data reduction and analytical tools and methodologies for data analysis (e.g. machine learning, statistical packages, modeling, etc.) required. Demonstrated ability to handle and manage large-scale mass spectrometry-based proteomics, lipidomics and metabolomics projects. Prior knowledge about various types of proteomics approaches – label-free, TMT, SILAC etc. Background in interpretation of global proteomics and post-translational modification data. Computational interpretation of small molecule data analyzed by mass spectrometry. Strong coding skills using R or Python programming and data science software.
Education, experience and tenure may be considered along with internal equity when job offers are extended. The minimum salary every 2 weeks is approx $3,318.40, based on a full-time position.
Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.
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