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Research Associate
Lillehei Heart Institute, University of Minnesota

Company Information: The Lillehei Heart Institute is a premier institute at the University of Minnesota-Minneapolis with state of the art technologies and core facilities focused on the molecular regulation of myogenesis, stem cell and regenerative biology. We are accepting applications for highly motivated postdoctoral fellows to develop novel bioinformatic and computational methods for understanding the dynamic gene regulations and lineage hierarchies during cardiac, endothelial and hematopoietic development.

Position Title: Research Associate

Duties and Responsibilities: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional data integration and etc.
* Perform routine bioinformatics analysis such as RNA-seq analysis, microRNA target prediction, transcription factor binding sites analysis, GSEA and etc.
* Discuss with the laboratory members in bioinformatics analysis as needed.
* Maintaining an active role in research of the current trends in bioinformatics, and using new technologies to prototype future development.
* Help researchers prepare manuscripts (write relevant sections and make figures) and presentations.

Position Qualifications: Required Skills:
* Strong programming skills in Python (or Perl) and R.
* Familiarity with data science and visualization libraries in R.
* Proven ability to work independently and collaboratively.
* Experience with communicating results and concepts with a diverse audience including molecular biologists and laboratory scientists.
* Excellent oral and written communication skills.

Desired Skills:
* Familiarity with common NGS analysis tools (BWA/samtools/TopHat/Cufflinks/HTSeq/edgeR/DESeq2).
* Demonstrated ability to design and implement machine learning techniques and algorithms.
* Demonstrated expertise in the Linux computing environment.
* Excellent planning, organization and execution skills.
* Positive attitude and good interpersonal skills.
* Familiarity with parallel computing environment (MPI).
* Ability to prepare manuscripts for presentation and publication.

Required Experience:
* Ph.D. or Masters with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline.
* At least three years of experience in bioinformatics research.
* Quantitative training with good understanding of probability, statistics and optimization.
* Proven expertise in the implementation and testing of algorithms.
* Experience using publicly available bioinformatics/genomics tools and algorithms; web resources such as NCBI, EnsEMBL, and UCSC.

Salary Range: Highly competitive and commensurate with experience

Benefits: Highly competitive


Application Information: Submit the job application through by job ID: 318347.

Please contact if there are any questions.

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