Postdoctoral Fellow-MSH-32910-032 Mount Sinai Health SystemPostdoctoral Fellow-MSH-32910-032New York, NY$72,500–$80,000 / yearKey research areas of interest include, but are not limited to: developing AI/ML methods to predict disease-specific causal variants and genes, utilizing LLM and computational approaches to generate extensive databases of gain- and loss-of-function functional variants in various categories, and performing PheWAS in the Mount Sinai Million Discovery Program (MSM) biobank combined with other leading biobanks (All of Us, UK Biobank, and Million Veterans Programs) across various human populations, traits and clinical measurements utilizing electronic health records (EHR) data. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Phenome-Wide Association Studies, Genome-Wide Association Studies, Biobanks, Computational Biology, Bioinformatics, Genomics, Genetics, Electronic Health Records, Electronic Medical Records, Network Biology, Predictive modeling, Data Science, Clustering, R, Python, Precision Medicine, Personalized Medicine.
Senior Computational Biologist I Tempus AISenior Computational Biologist INew York City, New YorkDrive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research and industry trends, championing opportunities for new markets, and influencing our leadership and global account strategy teams. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Hourly Data Analyst New Jersey Institute of TechnologyHourly Data AnalystNewark, NJ$15.92–$20 / hourAt the university''s discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate''s work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
Senior Scientist, Computational Receptor Biology & Machine Learning - Long Island City, NY DSM Nutritional Products Asia Pacific Pte LtdSenior Scientist, Computational Receptor Biology & Machine Learning - Long Island City, NYLong Island City, NY$132,000–$158,000 / yearThe Senior Scientist, Computational Receptor Biology & Machine Learning position is a unique opportunity to apply state-of-the-art machine learning techniques to complex biological challenges, contributing to groundbreaking research with real-world impact. You'll play a key role in shaping interdisciplinary projects that combine advances in computational biology, large-scale deep learning, and receptor science while partnering with leading experts across scientific domains.
NewSenior Computational Biologist I TempusSenior Computational Biologist INew York City, NY$100,000–$160,000 / yearDrive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research and industry trends, championing opportunities for new markets, and influencing our leadership and global account strategy teams. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Research Data Scientist Macquarie UniversityResearch Data ScientistNew York, NY$89,579–$120,621 / yearIn this role, you'll shape how data is handled, analysed and processed across the neurosciences program within the Medical School, directly advancing new research programs, including new precision diagnostics for neurology and three international Aligning Science Across Parkinson's (ASAP) grants that connect clinicians, researchers and collaborators across the globe. This is a rare opportunity to apply your bioinformatics and data science capabilities to a variety of research platforms, including genomics, proteomic, transcriptomic, analysing microscopy, imaging, and clinical data, and developing the tools and pipelines that help our researchers turn complex datasets into scientific discovery and diagnostic applications.
Postdoctoral Fellow-MSH-30001-337 Mount Sinai Health SystemPostdoctoral Fellow-MSH-30001-337New York, NY$72,500–$80,000 / yearMount 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. Key Responsibilities: Spatial and Single-Cell Method Development: Develop, optimize, and benchmark new spatial and single-cell multi-omic assays, including approaches that integrate transcriptomic, epigenomic, chromatin accessibility, DNA methylation, chromatin conformation, and/or protein-level measurements.
Post Doctoral Fellow Long Island UniversityPost Doctoral FellowBrookville, NY$50,000–$55,000 / yearOngoing projects focus on emerging and zoonotic viruses affecting both human and animal health, including studies on viral pathogenesis, host immune responses, antiviral strategies, vaccine development, and computational approaches for infectious disease research. Interested applicants should submit application through the link on this page: Cover letter describing research interests and career goals Current Curriculum Vitae (CV) List of technical expertise Complete list of publications Contact information for three professional references Review of applications will begin immediately and continue until the position is filled.
NewScientist - Machine Learning AI Katalyst HealthCares & Life Sciences IncScientist - Machine Learning AISouth Plainfield, NJThe role involves curating and harmonizing biological data, building reproducible computational workflows, training and validating predictive models, and integrating protein structural representations with biological data to generate testable scientific hypotheses. The Scientist - Machine Learning AI develops and applies machine learning and statistical methods to analyze protein structures, phenotypic information, and multimodal biological datasets.
Data Scientist / Biostatistician Jefferies Financial Group Inc.Data Scientist / BiostatisticianNew York, NY$135,000–$165,000 / yearPhD, MD, or master's degree preferred in biostatistics, statistics, data science, artificial intelligence, epidemiology, bioinformatics, computational biology, medicine, or a related field. The role will focus on building proprietary AI, machine-learning, and statistical models to predict clinical-trial outcomes and generate differentiated investment insights.
Senior Data Scientist Formation BioSenior Data ScientistNew York, NY$177,500–$232,000 / yearRecognizing 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.
Principal Data Scientist Formation BioPrincipal Data ScientistNew York, NY; Boston$204,500–$267,000 / yearRequired Qualifications PhD in computational sciences or life sciences 5+ years of post-academic experience in life sciences (biotech, pharma, consulting) Strong programming skills, particularly in Python Extensive experience in multi-modal bioinformatics analysis Preferred Qualifications Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases Strong background in machine learning and deep learning, particularly in biological applications Experience with large language models (LLM). Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints Aid in the development and training of AI agents to automate and optimize biomedical workflows Collaborate cross-functionally with clinical, technical, and research teams Present complex analytical findings to senior stakeholders, including executive leadership About You .
Machine Learning Scientist II Revolution Medicines IncMachine Learning Scientist IINY$182,000–$214,000 / yearWorking with senior data scientists and experimental collaborators, the successful candidate will contribute analyses, models, and reusable workflows to a data-driven discovery ecosystem where data, analytics, and experimentation continuously inform one another. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS.
Postdoctoral Fellow TempusPostdoctoral FellowNew York City, NY$75,000–$100,000 / yearEmbedded within Tempus as an onsite researcher, the postdoctoral fellow will have direct access to over 300k de-identified samples with genomic and clinical data, a large organoid repository with genomic and pharmacological screening data, a huge computational environment, and mentorship and collaboration from clinicians, molecular biologists, and data scientists. The successful candidate will apply computational methods to real-world patient data, comprising genomic, transcriptomic, histopathological, and/or clinical data, to improve our understanding of target cancers and advance the application of precision medicine to improve patient outcomes.
Data Scientist / Biostatistician Jefferies Financial Group IncData Scientist / BiostatisticianNew York, NY$135,000–$165,000 / yearJefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. PhD, MD, or master's degree preferred in biostatistics, statistics, data science, artificial intelligence, epidemiology, bioinformatics, computational biology, medicine, or a related field.
Principal Data Scientist Formation Bio IncPrincipal Data ScientistNew York, NY$204,500–$267,000 / yearRecognizing 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.
Bioinformatician II- Tisch Cancer Institute BiNGS Core Mount Sinai Health SystemBioinformatician II- Tisch Cancer Institute BiNGS CoreNew York, NY$65,885–$100,000 / yearWe 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.
Sr. Data Scientist, Translational Research Tempus AI IncSr. Data Scientist, Translational ResearchNew York City, NY$100,000–$175,000 / yearAI-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).
Sr. Data Scientist, Translational Research TempusSr. Data Scientist, Translational ResearchNew York City, NY$100,000–$175,000 / yearAI-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).
Post Doctoral Research Fellow- Biostatistics and Spatial Transcriptomics Memorial Sloan Kettering Cancer CenterPost Doctoral Research Fellow- Biostatistics and Spatial TranscriptomicsNew York, New York$72,000–$87,564 / yearSpatial Architecture & Niche Profiling: Implement advanced spatial point pattern analysis, cell-cell interaction modeling, and neighborhood/niche identification to map cell-to-cell spatial proximity and architectural differences within the tumor microenvironment across distinct clinical cohorts. You will develop and apply innovative statistical frameworks to map the tumor immune microenvironment (TIME), decode multi-cellular architectural niches, and collaborate closely with a multidisciplinary team of computational biologists, statisticians, and surgeons.