Scientist I, Machine Learning

Location: Boston, Massachusetts, United States; hybrid attendance required

Salary: $131,920–$164,900 per year, with a potential discretionary annual bonus and benefits.

Company

hirify.global is a global, patient-focused precision medicine company delivering diagnostic solutions for cancer and other diseases.

What you will do

• Develop, train, and evaluate machine learning and deep learning models on large-scale structured and unstructured biomedical datasets, including images and free text.
• Build data pipelines, infrastructure, and computational tools for image and genomic analyses.
• Prepare data, engineer features, validate models, assess performance, and implement reproducible analyses in shared codebases.
• Conduct cancer genomics research using public and internal datasets, including investigation of biomarker signatures and novel findings.
• Collaborate with machine learning scientists, computational biologists, clinicians, pathologists, software engineers, internal teams, and external collaborators.
• Prepare reports, presentations, abstracts, and manuscripts communicating research findings.

Requirements

• Bachelor’s degree in Computer Science, Bioinformatics, Computational Biology, Engineering, or a similar quantitative discipline plus 3+ years of relevant experience; or a master’s degree in one of these fields plus 2+ years of relevant experience.
• Ability to apply established machine learning and statistical methods with guidance from senior team members.
• Compliance with FMI attendance policies.

Nice to have

• Ph.D. in Computer Science, Bioinformatics, Computational Biology, Engineering, or a similar quantitative discipline.
• Experience with deep learning, particularly foundation models and vision transformers, and understanding of their mathematical foundations.
• Knowledge of cancer biology and cancer genomics.
• Intermediate or higher proficiency in object-oriented programming with Python, Java, or C++.
• Experience with traditional machine learning methods and packages such as sklearn, including their mathematical foundations.
• Experience with distributed processing and computation for large-scale datasets, including Spark, Horovod, or job scheduling.
• Experience with Git, pull requests, code review, the ML development life cycle, or MLOps.
• Experience with histopathology analysis and cloud compute providers such as AWS or GCP.
• Relevant authorship or co-authorship, strong communication and teamwork skills, understanding of HIPAA and patient data privacy, and commitment to FMI’s values of Integrity, Courage, and Passion.

Culture & Benefits

• Flexible, cross-functional environment involving research, clinical, computational biology, pathology, and engineering teams.
• hirify.global supports employee growth across different backgrounds and career paths.
• Benefits are provided, and a discretionary annual bonus may be available based on individual and company performance.
• Equal opportunity employer with accommodation support for applicants with disabilities or special needs.

Hiring process

• Internal applicants must use their FMI email address.
• hirify.global does not accept resumes from recruitment agencies or unsolicited agency submissions.