TGen is searching for top-notch Computational Scientist/ Bioinformatician interested in working on translational research rooted in genomics.
Why join TGen?
TGen is a non-profit research institute located in Phoenix, Arizona. We are focused on translational science – and have been since our formation in 2002. Our immediate goal is to make a difference in the lives of patients suffering from disease. We are moderately sized (~300 employees), nimble, and utilize the latest technologies in genomics. Do you dream of your work benefiting patients sooner rather than later? We have a 20-year track record in doing exactly that. It is the perfect sized place for you to start and grow your career and receive expert mentorship from teams of diverse, successful investigators.
Our compensation packages are competitive and our benefits are top notch! Just to name a few of the perks in working for us:
· BC/BS of Arizona health coverage. Mayo Clinic is in network.
· Dental, Vision, Life, Short and Long Term Disability
· Top notch EAP with a full scope of life services
· 401k with 4% match
· Generous time off
· Commuter benefits
· Much, much more!
Check out the openings on TGen’s homepage: www.tgen.org.
Why come to Phoenix, Arizona?
Phoenix is an incredible place to live! Like the outdoors? We average 300 sunny days each year – 100 more sunny days than the typical U.S. city. With an average of only 30 days with rain your recreational plans rarely get ruined. We have multiple mountain ranges within a 30-minute drive of the city center, California or Mexico beaches are a quick five-hour drive away, and, in the winter, snow sports are just a two-hour drive north to Flagstaff.
Our airport is consistently ranked as one of the best in the country with direct flights to all major U.S. cities, Europe, and the Americas. Enjoy long weekends in Vegas? Drive there in five hours or fly there in 45 minutes. Raising a family or looking for that starter home? Our average commute time (25 minutes) is under the U.S. national average. Spend less time in your car and more time doing the things you love!
We also have great nightlife, performing arts, food, college and professional sports, and live music. Arizona is truly one of the nation’s best-kept secrets. Lastly, the scientific community in Phoenix is large and constantly growing – research and clinical partners abound!
The Bioinformatician will process biomedical data by utilizing/applying existing informatics/software resources/analysis methods on multiple computing platforms/in multiple programming languages, automating/managing repetitive tasks, developing small-scale software modules, assist in extracting/organizing/manipulating/annotating/visualizing/summarizing data from diverse data sources to aid knowledge discovery and inference process, and carry out custom bioinformatics tasks as required and specified by the senior staff and principal investigator.
Responsibilities include: Implementation, application, maintenance, customization of available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Developing front-ends for other analysis tools, visualization/compilation of results, facilitating generally defined routine data processing/migration/organization/management tasks, and building project-specific workflows implementing automated analysis steps.
Investigation, customization, prototyping for new bioinformatics resources, and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large-scale data analysis, and heterogeneous biomedical data from multiple sources. Using software engineering skills towards creating reusable, modular, tested, version-controlled, shared repository oriented, professional-quality informatics/software/database resources.
Designing, prototyping, evaluating innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation and knowledge mining of data, computational algorithms, databases, scientific computing, large-scale data analysis. Suggesting/exploring alternative/multiple data processing approaches.
Following scientific literature/manuscripts, investigating new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, providing feedback towards scientific findings, and contributing towards manuscripts/grants/research proposals and research planning. Attending/contributing to/presenting at internal/external scientific meetings/conferences
Managing multiple bioinformatics collaborations/projects, mentoring junior staff. Strategic planning, organization, management, organization, utilization, optimization of existing and future bioinformatics resources, skills, and needs. Interacting with PIs, researchers, and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize the organization's competitive advantage in biomedical research. Interacting with other research divisions, computing infrastructure staff, outside academic/industrial partners.
