| Position Summary: |
The Department of Biomedical Informatic is committed to improving biomedical research and clinical care through the innovative application of informatics. Currently funded projects explore areas such as genomic and proteomic data mining, natural language processing, machine learning, and biosurveillance.
The Department of Biomedical Informatics is currently seeking a Software Developer The incumbent will be responsible for the analyses and interpretation of large high throughput biological datasets including but not limited to, expression, micro RNA, SNP, methylation and Next Gen sequencing technologies.
Incumbent will collaborate with biomedical researchers in genomic, proteomics, imaging, bioinformatics and related disciplines and assume significant or primary responsibility for providing bioinformatics solutions for translational research. Responsibilities will include but are not limited to statistical analysis, algorithm development, interpretation of results, software development including data portals, assist with publications and grant proposals. Incumbent will also be responsible for communicating resulting to investigators in a timely manner and for working on multiple projects and PIs.
The incumbent must be able to multitask, develop priorities, work in a fast-paced collaborative environment and adapt to changing needs. Experience in software development in biotech or pharmaceutical industries is a plus.
Hiring Range: TBD based on qualifications
Education Required: Baccalaureate
Overall Related Experience Level Required: 3-5 years experience
Additional Education And/or Experience Essential To the Position: Master's Degree preferred. One to two years of related experience in bioinformatics software development and large data systems data mining and analysis, and understanding of genomics and proteomics. Familiarity with microarrays and next generation sequencing data, and and understanding of basic statistical methods. Strong background in bioinformatics, computer science, biology or related discipline. Experience working with microarrays or complex biological datasets is required, as is fluency with basic statistical methods. Incumbent must have experience with computational analysis frameworks such as R or MATLAB , and experience with major public genomic databases such as GenBank, UniGene, Ensembl, Entrez and UCSC genome browser. Familiarity with bioinformatics tools like Bioconductor and Cytoscape is a bonus. Incumbent must have programming experience with Java, C/C++, Python, Unix Shell scripting, and UNIX cluster administration A successful candidate will have demonstrated an understanding of bioinformatics concepts and success in scientific creativity, collaboration, independent work, through graduate coursework and/or work experience.