Note: The job is a remote job and is open to candidates in USA. Essex, an Emmes Company, is a biomedical informatics and health information technology consultancy supporting federal biomedical research programs. The Computational Biologist (AI/ML) designs and implements AI/ML models and bioinformatics pipelines for genomic, proteomic, and clinical data, while contributing to precision oncology, translational research, data interoperability, reporting, and team quality activities.

Responsibilities

• Own and execute well-defined analytical and technical tasks and small projects with minimal supervision from senior staff or your manager
• Assist Associate Informaticists with task-related questions, troubleshooting, and orientation
• Contribute substantively to team discussions on methodology, standards, tools, and technical decisions
• Apply working familiarity with best practices in your domain to deliver scientifically sound, high-quality work products
• Support peer review of deliverables and contribute to quality assurance activities
• Contribute to team documentation, SOPs, and knowledge base materials
• Shadow senior staff during candidate interviews to begin developing evaluation skills
• Participate in internal training sessions, brown bags, and knowledge-sharing activities
• Perform other related duties as assigned
• Design and implement AI/ML models applied to biomedical data, including genomic, proteomic, and multimodal clinical datasets, to support precision oncology and translational research
• Apply large language models, retrieval-augmented generation (RAG) techniques, and graph neural networks to make biomedical data interoperable and AI-ready
• Develop, test, and optimize pipelines for variant calling and annotation leveraging modern ML workflows and frameworks
• Curate, model, and integrate genetic and clinical datasets into standardized, interoperable formats to support precision medicine programs
• Generate high-quality, interpretable reports for internal and external stakeholders that translate complex AI/ML outputs into actionable scientific and clinical insights

Skills

• Working proficiency in the core technical tools, analytical approaches, and data standards relevant to the assigned program and department
• Ability to work independently and within a team in a fast-paced, collaborative environment
• Strong written and oral communication skills, including the ability to document work clearly and present findings to technical audiences
• Proficiency with Microsoft Office applications
• Proficiency in Python and SQL; demonstrated experience with ML frameworks (PyTorch, TensorFlow) and code versioning (Git)
• Strong background in machine learning and AI, including deep learning architectures (CNNs, GNNs) applied to biomedical or complex multi-modal datasets
• Familiarity with genetic variant standards (HGVS, VCF) and clinical data ontologies
• Demonstrated ability to work cross-functionally and communicate technical results clearly to diverse scientific and clinical audiences
• Bachelor's degree or advanced degree in bioinformatics, computational biology, data science, genetics, biology, health informatics, clinical research, or a related field
• 2 to 5 years of relevant professional or research experience
• Demonstrated success applying AI/ML to biomedical or multi-modal datasets (genomics, proteomics, clinical)
• Track record of publications or applied innovation in AI-driven data science for life sciences preferred
• Experience applying LLMs or RAG approaches to scientific or clinical data problems preferred

Benefits

• Part-time work arrangement
• US Remote work arrangement
• Internal training sessions, brown bags, and knowledge-sharing activities

Company Overview

Company H1B Sponsorship