Postdoctoral Research Associate I
BIO5 InstituteDepartment Website Link:
Tucson, AZ USAPosition Highlights:
The laboratory of Michael Hammer in the BIO5 Institute and the Department of Pediatrics at the University of Arizona are seeking a Postdoctoral fellow for a part- or full-time, year-to-year appointment up to 3 years contingent upon funding and performance position in biomedical informatics or health informatics. The laboratories focus on cutting-edge research at the intersection of pediatric rare disease and biomedical informatics. The project involves 1) data analysis involving an established longitudinal registry of patients with a rare pediatric epilepsy, 2) developing and applying statistical and analysis methods to medical, developmental, and genetic data for biomedical discovery, and 3) analysis aimed at precision health (early detection, classification, and prediction of future outcomes).
The postdoctoral fellow will curate and perform analyses of registry data and patient surveys, as well as heterogeneous datasets, which may include electronic health records, unstructured clinical notes. We are seeking candidates interested in methods to classify patients within a rare disease spectrum, predict patients at high risk for adverse outcomes, to identify treatment strategies that are best for different subgroups, and to implement evidence at the point of care to guide clinical decisions.
The BIO5 Institute connects and mobilizes hundreds of world-class plant, animal, and human bioscientists, engineers, physicians, and computational researchers to develop creative solutions for complex challenges such as disease, hunger, water and food safety, and other health issues facing Arizona.
Outstanding UA benefits include health, dental, vision, andlife insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuitionreduction for the employee and qualified family members; access to UArecreation 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 click here.
Duties & Responsibilities:
- Becomes an active member of the lab that works independently in medical informatics research under the guidance of Dr. Jennifer Andrews and Dr. Michael Hammer.
- Designs, implements, and evaluates analytical methods and information systems that collect, manage, and analyze data relevant to describing disease spectrum, associations among disease features and genotype-phenotype correlations, and disease outcomes.
- Maintains REDCap database up-to-date and provide reports when requested.
- Evaluates and cleans data, create analytic datasets and keep appropriate records of all research activities.
- Stays current with the scientific literature, participate in scientific discussions with other members of the lab and department, and attend mandatory lab meetings.
- Works on multiple aspects of research projects to develop skills as an independent researcher.
- Supervises students collaborating in lab.
- Develops relevant social media content to provide condition awareness and recruitment.
- Produces multiple scientific abstracts, manuscripts, and research proposals as well as present at local Work-in-Progress sessions, national symposia, and international scientific conferences related to their research.
- Additional duties may be assigned.
Knowledge, skills & abilities:
- Strong computational and quantitative capabilities, including ability to program in R, Python, etc., and to design and execute an analysis of heterogeneous medical, developmental and genetic data.
- Strong communication and collaboration skills required for working/coordinating with investigators, staff, supervisors, and project personnel across one or more systems.
- Ability to work in a highly collaborative environment
- Ability to successfully interact with a diverse team, including clinicians, researchers, IT staff, families, and scientist across domains
- A terminal degree (e.g., PhD, DrPH, or MD) with a focus on biomedical science, epidemiology, information science, informatics, computer science, or pediatric research.
- Experience with registry data, health data, laboratory data, electronic health records, biomedical informatics standards
- Experience in machine learning or natural language processing
- Database experience, preferably experience in SQL
ExemptFull Time/Part Time:
To be DeterminedNumber of Hours Worked per Week:
20 - 40Job FTE:
0.5 - 1.0Work Calendar:
Yes - Full BenefitsRate of Pay:
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:
1Target Hire Date:
Expected End Date:
Contact Information for Candidates:
4/21/2021Open Until Filled:
YesDocuments Needed to Apply:
Resume, Cover Letter, and One Additional DocumentSpecial Instructions to Applicant:
Prepare a career statement and attach to application.Diversity Statement:
At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As an Hispanic-serving institution and a Native American/Alaska Native-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.