MORE ABOUT THE EMMES GROUP

Emmes Group: Building a better future for us all.
Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience.
We believe the work we do will have a direct impact on patients’ lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We’re looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us!

Qualifications:

• D. in Mathematics, Bioinformatics, Computational Biology, or related field.
• Strong track record in machine learning and AI, including deep learning (CNNs, GNNs) for biomedical or complex data applications.
• Proficient in Python and SQL; experience with ML frameworks (PyTorch/TensorFlow) and code versioning (Git).
• Familiarity with genetic variant standards (HGVS, VCF) and clinical data ontologies.
• Demonstrated success applying AI/ML to biomedical or multi-modal datasets (genomics, proteomics, clinical).
• Demonstrated ability to work cross-functionally and communicate technical results clearly to diverse teams.
• Ability to translate complex data analyses into actionable insights for multidisciplinary teams.
• Track record of publications and innovation in AI-driven data science for life sciences (preferred)

Essex seeks a Bioinformatics Scientist II to bring advanced AI and computational modeling expertise to our precision oncology efforts. The ideal candidate combines deep experience in deep learning, graph neural networks, and large-scale biomedical data integration with a strong understanding of genomics, proteomics, and clinical informatics. As part of our Biomedical Informatics and Data Science team, you will help standardize and analyze complex biological and clinical datasets, develop scalable AI-driven models, and deliver actionable insights that accelerate cancer research and treatment strategies.
Emmes Group: Building a better future for us all.
Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience.
We believe the work we do will have a direct impact on patients’ lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We’re looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us!

Responsibilities:

• Collaborate with biologists, clinicians, and software engineers to design AI-powered analytics for genomics, proteomics, and clinical data.
• Apply large language models and Retrieval-Augmented Generation (RAG) techniques to make biomedical data interoperable and AI-ready for the National Cancer Institute and related projects.
• Curate, model, and integrate genetic and clinical datasets into standardized, interoperable formats to support precision medicine.
• Work with clinical laboratories to ensure accurate data ingestion into the MATCH processing infrastructure.
• Design, test, and optimize pipelines for variant calling and annotation, leveraging scripting languages (Python, SQL) and modern ML workflows.
• Contribute to the design of intuitive databases and interactive web tools for researchers and clinicians.
• Generate high-quality, interpretable reports for internal and external stakeholders, supporting clinical and research decision-making.

Qualifications:

• D. in Mathematics, Bioinformatics, Computational Biology, or related field.
• Strong track record in machine learning and AI, including deep learning (CNNs, GNNs) for biomedical or complex data applications.
• Proficient in Python and SQL; experience with ML frameworks (PyTorch/TensorFlow) and code versioning (Git).
• Familiarity with genetic variant standards (HGVS, VCF) and clinical data ontologies.
• Demonstrated success applying AI/ML to biomedical or multi-modal datasets (genomics, proteomics, clinical).
• Demonstrated ability to work cross-functionally and communicate technical results clearly to diverse teams.
• Ability to translate complex data analyses into actionable insights for multidisciplinary teams.
• Track record of publications and innovation in AI-driven data science for life sciences (preferred).