| General Summary/Purpose The Neuroimaging Data Analyst will manage and analyze neuroimaging data collected over many years from older individuals with and without memory problems. The Neuroimaging Data Analyst will work with a team of investigators coordinated by Dr. Marilyn Albert, Director of the Division of Cognitive Neuroscience in the Department of Neurology at the Johns Hopkins School of Medicine, including investigators at the National Institute on Aging in Baltimore. Specific Duties & Responsibilities Research Project: This individual will be responsible for analyzing brain images for a study known as the Preclinical Alzheimer’s Disease Consortium (PAC). The PAC is an international collaboration across multiple institutions funded to create a harmonized longitudinal dataset of structural magnetic resonance imaging (MRI) and amyloid positron emission tomography (PET) scans, neuropsychological testing measurements, clinical and genetic data for 2000 participants with the purpose of investigating the earliest stages of Alzheimer’s disease, including transitions from normal cognition to the early symptomatic phase. The Analyst will provide support for the assembly, cleaning, and executing the image analysis of the PAC PET data, integrate MRI and PET datasets, test and implement approaches for multi-site data harmonization, and assist in the preparation of reports documenting PET image analysis. As a member of the team, the Analyst will: (1) ensure the completeness of PET imaging datasets and communicate with participating sites to resolve any dataset issues or missingness, (2) develop workflows for PET data cleaning and checking data integrity, with the goal of correcting any errors, inconsistencies, or missing data needed for analyses, (3) organize, support, and maintain a central large research database of PET data and relevant metadata, (4) determine appropriate PET image analysis parameters, integrate MRI datasets, and execute image analysis workflows, (5) perform quality control of PET imaging datasets and workflow outputs, (6) document image processing steps and generated outputs, (7) prepare and share workflow results, (8) implement and test various approaches for PET partial volume correction (including MRI-based approaches), kinetic modeling, and PET image harmonization across datasets, (9) assist with the preparation of scientific reports and publications. This individual must be able to work collaboratively with junior and senior faculty, have good communication skills, and ability to work with a diverse team across multiple institutions. Minimum Qualifications (Required) Bachelor's degree in related discipline. Three (3) years related experience. Additional education (Master's level) may substitute for required experience, to the extent permitted by the JHU Equivalency Formula: 18 graduate degree credits may substitute for one year of experience..For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Preferred Qualifications - Bachelor’s degree in a field related to computer science, statistics, mathematics, electrical engineering, computational biology, or neuroscience
- Experience with MRI or PET neuroimaging data formats and image analysis
- Experience with software containerization via Singularity or Docker
- Strong background in statistics and statistical software scripting (R preferred)
Special Knowledge, Skills, and Abilities - Demonstrated proficiency in Unix shell scripting, Python programming, and git version control
- Experience with data management
- Organizational and efficiency skills, including planning and decision-making abilities to complete tasks in a timely manner, attention to detail, analytical and problem-solving skills
- Ability to work independently
- Strong background creating scientific figures and writing technical scientific reports
Classified Title: Research Data Analyst
Working Title: Neuroimaging Data Analyst
Role/Level/Range: ACRP/04/MC
Starting Salary Range: $45,195 - $62,225 /Commensurate with Experience
Employee group: Full Time
Schedule: Monday - Friday, 8:30 am-5:00 pm / 37. 50 hrs per week
Exempt Status: Exempt
Location: 04-MD:School of Medicine Campus
Department name: 10003516-SOM Neuro Cognitive Neurology
Personnel area: School of Medicine The successful candidate(s) for this position will be subject to a pre-employment background check. If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly. During the Influenza ("the flu") season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office. Equal Opportunity Employer
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