Close Modal

Career Opportunities

Imaging Data Scientist Position

Arkana Laboratories is seeking an Imaging Data Scientist to work within the new Multiplex Imaging Center (MIC), part of our Transplant Translational Research Initiative in Little Rock, Arkansas. The Imaging Data Scientist is part of a dynamic team of researchers, scientists, and clinicians that engage with clinical trials operations, translational research initiatives, and research collaborators in academia, government and the pharmaceutical industry. The goals are to identify tissue biomarkers of immunologic mechanisms underlying clinical outcomes in human kidney transplantation, and to advance these imaging-based technologies toward clinical applications. The Imaging Data Scientist reports to the Director of the MIC and works shoulder to shoulder with the Multiplex Imaging Research Scientist in the MIC to process high dimensional digital images of tissue sections to quantitative data sets and performs downstream computational and spatial statistical analysis. In addition, the Imaging Data Scientist will have a background in data engineering that well-serves interaction between the MIC’s research enterprise and the company’s Information Technology department, advising and collaborating on best approaches toward innovation in data management.



Located in the center of the state, Little Rock is Arkansas’s capital city. It offers a low cost of living with a plethora of cultural and outdoor activities, without many of the inconveniences of other major cities. The Arkansas River borders Little Rock and is where the foothills of the Ouachita Mountains begin to rise. Fittingly, the state’s diverse cultures converge in Little Rock, which is home to a thriving downtown entertainment district, a wide array of restaurants, trails, riverside parks, and golf courses, and the Clinton Presidential Library.

Applicants must hold an BS, MS, or PhD degree in bioinformatics, computer science, biology, biochemistry or similar (BS with 3+ years’ experience, MS with 1+ years’ experience, PhD with 0 years’ experience). This position requires experience with developing approaches for computational analysis of large data sets, excellent programming skills (eg. R, Python, Java, C++, etc.), experience with spatial statistics and with machine learning approaches, excellent written and verbal communication skills and the ability to clearly communicate scientific objectives and project results to audiences with diverse scientific backgrounds. In addition, applicants must bring a strong work ethic and a good sense of humor. Compensation, benefits package and vacation are highly competitive.


How to Apply

Submit an application and your CV to

We provide equal opportunities to all applicants and employees without regard to race, color, religion, sex, national origin, age, or disability, in accordance with applicable federal and state laws. Accommodation is available to applicants with a disabling condition when applying or interviewing for a position.