Postdoctoral Research Associate I, Translational Cardiovascular Research Center (Phoenix)
PHOENIX, AZPosted 21 days ago
Job summary
Job post source
This job is directly from University of Arizona
Job overview
The Postdoctoral Research Associate I at the Translational Cardiovascular Research Center conducts advanced computational and translational cardiovascular research to develop early diagnosis methods and novel treatments for heart disease.
Responsibilities and impact
The role involves developing algorithms, analyzing large biomedical data sets, preparing grants and manuscripts, presenting research findings, conducting independent scientific research, supervising research staff, and managing lab resources.
Compensation and benefits
The position is full-time with full benefits including health, dental, vision insurance, life and disability programs, paid leave, tuition reduction, retirement plans, and pay based on NIH salary guidelines depending on experience.
Experience and skills
Candidates must have a PhD in biomedical or related fields, strong computational skills in programming and bioinformatics, experience with large-scale data analysis, statistical and machine learning methods, and high-performance computing; molecular biology experience and publication record are preferred.
Career development
The postdoctoral position offers interaction with a dynamic interdisciplinary environment at the University of Arizona College of Medicine - Phoenix, fostering collaboration and professional growth.
Work environment and culture
The University of Arizona College of Medicine Phoenix promotes engagement, partnership, innovation, and synergy within a world-class academic and research environment.
Company information
The University of Arizona College of Medicine Phoenix is a leading academic institution located in the Phoenix Bioscience Core, focusing on training physicians and scientists with strong research initiatives.
Team overview
The candidate will join Dr. Tobias Jakobi's laboratory, a team focused on RNA species interplay in heart disease using computational approaches.
Job location and travel
The job is located at the University of Arizona College of Medicine Phoenix, within the Phoenix Bioscience Core in Phoenix, Arizona.
Unique job features
The position offers the opportunity to work on cutting-edge computational biology projects in cardiovascular research with access to state-of-the-art resources and interdisciplinary collaboration.
Company overview
The University of Arizona is a public research university located in Tucson, Arizona. It offers a wide range of undergraduate, graduate, and professional degree programs across various fields such as science, engineering, business, and the arts. The university generates revenue through tuition fees, research grants, public funding, and partnerships with private industry. Established in 1885, it is known for its strong emphasis on research and innovation, housing renowned research facilities like the BIO5 Institute and the Lunar and Planetary Laboratory. The university is also recognized for its contributions to space exploration and environmental sustainability.
How to land this job
Position your resume to highlight your strong computational skills in Python, R, or Perl, emphasizing experience with bioinformatics tools and large-scale data analysis like next-generation sequencing and transcriptomics, which are central to this role at University of Arizona.
Emphasize your background in algorithm development, machine learning applications in biological data, and experience working with bioinformatics databases such as Ensembl, NCBI, and UniProt to align with the job's research focus.
Apply through multiple platforms including the University of Arizona’s official career site, LinkedIn, and relevant academic job boards to maximize your application reach and visibility.
Connect on LinkedIn with current researchers and staff in the Translational Cardiovascular Research Center or the College of Medicine Phoenix; use ice breakers like commenting on recent publications from Dr. Tobias Jakobi's lab or expressing interest in their interdisciplinary approach to cardiovascular research.
Optimize your resume for ATS by incorporating keywords from the job description such as 'algorithm development,' 'transcriptomics,' 'machine learning,' 'bioinformatics,' 'next-generation sequencing,' and 'high-performance computing' to ensure it passes initial automated screenings.
Use Jennie Johnson’s Power Apply feature to automate tailoring your resume, identify multiple application channels, and find LinkedIn connections for networking, allowing you to focus more effectively on preparing for interviews and advancing your research skills.
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