Postdoctoral Research Associate , Translational Cardiovascular Research Center; Phoenix

Position: Postdoctoral Research Associate I, Translational Cardiovascular Research Center (Phoenix)
Postdoctoral Research Associate I, Translational Cardiovascular Research Center (Phoenix)

Posting Number
req
24842

Department
COM Phx Trans Cardio Rsrch Ctr

Department Website Link
College of Medicine-Phoenix

Location
Greater Phoenix Area

Address
475 N. 5th St., Phoenix, AZ 85004 USA

Position Highlights
The University of Arizona College of Medicine - Phoenix (COM-P) is seeking a highly motivated candidate for the full-time position of Postdoctoral Research Associate in Dr. Tobias Jakobi's laboratory. Our lab is focused on understanding the interplay of different RNA species and underlying functional networks in the heart with the goal of developing methods for the early diagnosis of heart disease as well as novel treatment options by employing state-of-the-art computational approaches.
The ideal candidate should have a strong background in algorithm development, transcriptomics, sequencing data processing, and/or applied machine learning. The individual will develop novel algorithms to analyze large and complex biomedical data sets and contribute towards research and research-related service in translational cardiovascular research. The Postdoctoral candidate will benefit from the interaction with a dynamic and interdisciplinary environment at the University of Arizona College of Medicine - Phoenix.

The University of Arizona College of Medicine - Phoenix anchors the 28-acre Phoenix Bioscience Core in the heart of the Valley of the Sun. The College inspires and trains individuals to become exemplary physicians, scientists and leaders who are life-long learners and inquisitive scholars. The Phoenix Biomedical Campus embodies the University's priorities of engagement, partnership, innovation, and synergy in its world-class academic and research initiatives, with clinical facilities throughout Greater Phoenix.

Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please .

Duties & Responsibilities

• Develop and maintain detailed records of experiments, analyzing and writing findings.
• Assist with preparation of grants and manuscripts.
• Present manuscripts, oral presentations, posters, and research findings at national and international conferences.
• Plans, coordinates, and conducts scientific research requiring judgment in the independent evaluation, selection, and substantial adaptation and modification of standard scientific techniques. Serves as principal investigator, as appropriate, on sub-projects of complexities consistent with the above criteria.
• Generate new ideas and projects for development.
• Designs, performs, and/or oversees experiments and data collection to ensure data integrity, quality control, and protocol
  compliance.
• Collects, analyzes, and interprets data. Prepares statistical and narrative reports and/or graphs as appropriate to the specific position. Prepares manuscripts for publication. Presents research results to scientific conferences and other groups.
• Share supervisory responsibility for research technical staff including graduate and undergraduate students.
• Attend regular group meetings; manage, maintain, and order laboratory equipment and supplies; and respond to administrative requests and procedures.

Knowledge, Skills & Abilities:

• Strong computational skills in programming languages (e.g., Python, R, Perl) and software tools for bioinformatics analysis.
• Excellent communication skills (both written and verbal) for presenting research findings and writing grants.
• Proficiency with bioinformatics databases (e.g., Ensembl, NCBI, Uni Prot) and tools (e.g., BLAST, Bowtie, SAMtools).
• Knowledge of statistical methods and machine learning techniques for biological data analysis.
• Strong problem-solving skills with attention to detail and data integrity.

Minimum Qualifications

• PhD in biomedical science, molecular biology or vascular biology, biochemistry, physiology or
  related field is required.

Preferred Qualifications

• Experience in molecular biology.
• Experience with large-scale data analysis (e.g., next-generation sequencing, proteomics, transcriptomics, metabolomics).
• Proven track record of scientific publications in peer-reviewed journals.
• Collaboration experience with experimental biologists and interdisciplinary teams.
• Experience with high-performance computing environments (e.g., Linux, cloud computing, cluster management).

FLSA
Exempt

Full Time/Part Time
Full Time

Number of Hours Worked per Week
40

Job FTE
1.0

Work Calendar
Fiscal

Job Category
Research

Benefits Eligible
Yes - Full Benefits

Rate of Pay
NIH salary guidelines, Depends on Experience

Compensation Type
salary at 1.0 full-time equivalency (FTE)

Type of…