Postdoctoral Research Associate - Hematology (AI/ML)

Location: Memphis, Tennessee, United States

Company

hirify.global conducts pediatric biomedical research and develops precision-medicine approaches for serious diseases.

What you will do

• Develop machine-learning and deep-learning models that predict genome-editing activity, specificity, and off-target effects.
• Integrate genomic sequences with high-throughput biochemical, cellular, and functional genomic data.
• Design computational methods for analyzing and interpreting genome-editing and functional-genomics datasets.
• Apply modern machine-learning approaches to understand genetic variation and improve genome-engineering strategies.
• Collaborate with experimental researchers to design, evaluate, and validate computational models.

Requirements

• Ph.D. or equivalent degree in bioinformatics, computational biology, genomics, computer science, statistics, biomedical engineering, data science, or a related quantitative field.
• Strong experience in bioinformatics, computational genomics, or a related area.
• Experience developing and evaluating machine-learning or statistical models.
• Strong programming skills in Python and/or R.
• Experience analyzing genomic, sequencing, or other large-scale biological datasets.
• Strong quantitative, problem-solving, scientific communication, and collaboration skills.

Nice to have

• Experience with genome editing, functional-genomic screening, sequence-based deep learning, or related technologies.
• Strong computational and machine-learning experience with an interest in learning genome engineering.

Culture & Benefits

• Work in a highly collaborative, multidisciplinary research environment.
• Combine large-scale genomic data, functional screening, genome editing, machine learning, and experimental validation.
• Contribute to an ARPA-H-supported program developing personalized genome-editing therapies for rare diseases.
• Research flexibility to pursue broader methodological and biological questions in computational genomics, functional genomics, and AI/ML.