Nelson Scientific Labs is seeking a bioinformatician with a strong background in biological sciences to support big-data analyses for our federally funded biomedical research projects. Responsibilities include statistical and bioinformatics analysis, prediction model-building, and custom software development. The ideal candidate holds a PhD in bioinformatics, biostatistics, computational biology, computer science, or a closely related discipline, and brings a sincere desire to learn, adapt to new challenges, and develop novel approaches for harmonizing multiple large datasets used in medical device research and development. The role requires the ability to work independently or as part of a multidisciplinary team, along with solid programming and analytical skills, including competency in R, Python, and database applications. Previous experience analyzing multi-omics data, including metabolomics, lipidomics, proteomics, and/or transcriptomics, is highly desirable.

 

·       Develop and maintain an integrated, R/Python-based analytical pipeline based around instrument manufacturers’ software and/or from publicly available resources, and/or de novo, for processing raw data (peak alignment, background subtraction, feature extraction, selection of statistically significant features);

·       Conduct and develop detailed reports on advanced and innovative multi-omics data analyses to support biomarker discovery, confirmation, and validation;

·       Use of pathway databases such as METLIN Gen2 and KEGG pathway and compound to test hypotheses, identify features of interest, and build molecular mechanisms underlying phenotypes under investigation;

·       Implement machine learning and AI tools for the analysis and integration of multi-omics data including transcriptomics, proteomics and miRNA data sets;

·       Develop software tool for risk assessment using biomarker and clinical outcome data

·       PhD from an accredited program in bioinformatics, biostatistics, or another closely related field.

·       Minimum 1-2 years relevant work experience

·       Experience with analyzing multi-dimensional omics data

·       Solid programming skills (e.g. Java, C++, Perl)

·       Experience with R/Bioconductor

·       Demonstrated track-record of supporting data science research

·       Strong written and oral communication skills

·       Grant- and/or contract-writing participation at the state and federal levels

·       Experience in building and maintaining databases and statistical analysis plans and workflows

·       Familiarity with FDA in vitro diagnostic device software regulatory guidelines

The long-term mission of Nelson Scientific Labs. LLC is to leverage state of the art molecular phenotyping technologies for biomarker development to facilitate personalized medicine approaches. The NIH award focuses on multi-omics- based biomarker device development for prediction of radiation induced heart dysfunction.

 

Job Type: Full-time

 

Schedule: Monday-Friday

 

Work Location: Potomac, MD (on-site)

Eligibility: The candidate should be legally authorized to work in the United States.

 

Ability to relocate: Willingness to relocate before start (if required)

Travel: This position may involve occasional travel up to 5%