Postdoctoral Research Associate I, Translational Cardiovascular Research Center
Phase2 Technology, Phoenix, AZ, United States
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
Overview
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.
Institutional Context
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.
Benefits Note:
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!
Application Information
The University of Arizona is an equal opportunity/affirmative action employer and encourages applications from women, persons with disabilities, veterans, and minority groups. For more information about working at the University of Arizona, please apply online.
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.
Plan, coordinate, and conduct 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.
Design, perform, and/or oversee experiments and data collection to ensure data integrity, quality control, and protocol compliance.
Collect, analyze, and interpret data. Prepare statistical and narrative reports and/or graphs as appropriate to the specific position. Prepare manuscripts for publication. Present 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).
Additional Information
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
Open Date:
1/5/2026
Open Until Filled:
Yes
Documents Needed to Apply:
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant:
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).
#J-18808-Ljbffr
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
Overview
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.
Institutional Context
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.
Benefits Note:
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!
Application Information
The University of Arizona is an equal opportunity/affirmative action employer and encourages applications from women, persons with disabilities, veterans, and minority groups. For more information about working at the University of Arizona, please apply online.
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.
Plan, coordinate, and conduct 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.
Design, perform, and/or oversee experiments and data collection to ensure data integrity, quality control, and protocol compliance.
Collect, analyze, and interpret data. Prepare statistical and narrative reports and/or graphs as appropriate to the specific position. Prepare manuscripts for publication. Present 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).
Additional Information
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
Open Date:
1/5/2026
Open Until Filled:
Yes
Documents Needed to Apply:
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant:
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).
#J-18808-Ljbffr