div>New York City, NY30+ days ago
Through this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications. About the role: As a Computational Biologist II at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners.
li>Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other.
We are sharing a specialised part-time consulting opportunity for bioinformatics and single-cell genomics professionals experienced in scanpy, scvelo, squidpy, gudhi, single-cell RNA-seq analysis, trajectory inference, spatial transcriptomics, topological data analysis, Python scientific computing, and benchmark evaluation workflows. This role supports current and upcoming remote consulting opportunities focused on bioinformatics problem design, scientific software evaluation, single-cell analysis workflow development, Python-based validation, and high-quality project execution.
As senior computational biologist, you will be supporting a portfolio of partnership preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in neuroscience diseases. In this role, you will:
Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning.
Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology.
New York City, NY30+ days ago
Through this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes.
Morristown, NJ30+ days ago
ul>PhD in systems pharmacology/biology, computational biology, biomedical engineering, or a related field with a strong record of productivity demonstrated through publications and scientific presentations with at least 2 years of Postdoctoral experience in disease modeling/QSP.
Main responsibilities:
p>The role sits at the edge of applied data science and AI engineering: you will design evaluation datasets, build analytical features, prototype models, test agent and retrieval performance, measure product impact, support sandboxed data problem solving, and explain model behavior in ways stakeholders can trust. BMS is an AWS-first engineering environment for these products, and your work will use AWS-aligned data and AI services alongside enterprise-preferred tools such as OpenSearch, Amazon S3 Vectors, Amazon Neptune, PostgreSQL/RDS, LangGraph, LangSmith, and a variety of approved frontier LLM models and APIs.
Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients.
Paramus, New Jersey30+ days ago
li style="margin-top:0in;margin-right:0in;margin-bottom:8pt;line-height:115%;font-size:12pt;font-family:'arial' , 'helvetica' , sans-serif">Generative AI & LLMs: Experience working with modern large language model ecosystems, prompt engineering, retrieval-augmented generation (RAG), or AI workflow orchestration frameworks is a plus. The AI Scientist will contribute to the development of agentic AI systems, multi-agent workflows, and AI-driven scientific reasoning platforms that integrate advanced machine learning, large language models, and biomedical research applications.
Beyond its historic Greenwich Village facade are open and interconnected state-of-the-art loft laboratories where scientists including professors, researchers, and students interact to leverage the extraordinary potential of genomics and systems biology in research and education The Centers research programs embrace the study of genomics and systems biology as the next frontier in a pioneering era of biological sciences. Faculty also collaborate with researchers in the Courant Institute of Mathematical Sciences, the Faculty of Arts and Sciences departments of Physics and Chemistry, NYU School of Medicine, NYU Polytechnic School of Engineering, NYU College of Global Public Health, NYU Center for Data Science, and NYU Center for Urban Science and Progress as well as with researchers from other major New York institutions and around the world.
We feel that BiNGS presents a unique opportunity for senior bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians, and their involvement in reducing racial bias in science through mentorship of URM in Science. For example, we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are utilizing bulk and single cell, and spatial transcriptomics to understand breast cancer metastasis to bone.
New York City, NY30+ days ago
li>AI-Assisted Optimization: Leverage LLMs and co-pilot tools to accelerate internal development and create specialized agents that help clients navigate and derive insights from large-scale biomedical data, and make the client experience on the platform as easy, efficient, and intuitive as possible.
Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design).
Pearl River, New York10 days ago