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

Phase2 Technology; Phoenix (AZ); On-site; USD 52,000 - 68,000; Full time

Benefits offered by this job

Full benefits

Job summary

The University of Arizona College of Medicine - Phoenix is seeking a Postdoctoral Research Associate I in Translational Cardiovascular Research Center in Phoenix. The role focuses on the interplay of RNA species and functional networks in the heart, aiming to develop early diagnostic methods and novel treatments using state-of-the-art computational approaches.

The ideal candidate will have a strong background in algorithm development, transcriptomics, sequencing data processing, and/or applied

Qualifications

• PhD in biomedical science or related field is required.
• Strong background in algorithm development, transcriptomics, sequencing data processing, and/or applied machine learning.

Responsibilities

• Develop and maintain new algorithms to analyze large biomedical datasets.
• Prepare grants and manuscripts; present findings at conferences.
• Collaborate with interdisciplinary teams and supervise research staff.
• Ensure data integrity, quality control and proper documentation of experiments.

Skills

Python

R

Bioinformatics

Machine learning

Communication skills

Education

PhD in biomedical science or related field

Tools

Ensembl

NCBI

UniProt

BLAST

Bowtie

SAMtools

Job description

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

Posting Number: req24842

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!

• 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, UniProt) 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 criminal background check required: Name-based criminal background check (non-security sensitive)

Number of Vacancies: 1

Contact Information for Candidates:

College of Medicine-Phoenix, Office of Human Resources

[e-mail]

Open Date: 1/5/2026

Open Until Filled: Yes

Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter

Special Instructions to Applicant

Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

Letter of Interest: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).