Jobs

IS Project Manager, Bioconductor Project

Description

This position includes both project management and advanced software development. The successful applicant will perform multidisciplinary work in data science, clinical trials, and cloud computing. Our group is centrally involved with the Bioconductor project, a 20- year open source/open development effort in the domain of statistics and computing for genome scale biology. Strong acquaintance with github, OpenAPI, R, Linux, Amazon Web Services, or Google Cloud Platform expected. Specifically, duties include:

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Bioinformatics Data Engineer / Senior Bioinformatics Data Engineer

Description

We are seeking a talented and highly motivated DevOps Data Engineer to help advance our genetics discovery platform. The successful candidate will join a team of data scientists, computational biologists, data architects, and automation engineers to mobilize genetics and functional genomics data towards the discovery of new therapeutic targets and drugs. As part of a small, agile data science team, the successful candidate will understand and implement solutions to difficult data engineering tasks. The ideal candidate will have the ability to apply their computer science knowledge to a biological setting and have expertise with AWS technologies and cloud computing.

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Data Scientist / Senior Data Scientist, Human Genetics

Description

We are seeking a talented and highly motivated scientist to help build and apply our genetics discovery platform. The successful candidate will join a team of data scientists, computational biologists, systems architects and automation engineers to mobilize genetics and functional genomics data towards the discovery of new therapeutic targets and drugs.

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Data Scientist / Senior Data Scientist, Human Genetics

Description

• You will become an integral member of our target and drug discovery teams, helping to move programs from concept to the clinic
• You will help design and interpret functional genomics and computational biology experiments, often integrating data from genetics and external sources
• You will work with the Human Genetics, Functional Genomics, Stem Cell and Drug Discovery departments to design and implement cutting-edge analysis and visualization tools and production-quality bioinformatics pipelines

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Senior Scientist / Scientist, Human Genetics

Description

We are seeking an exceptional computational biologist/statistical geneticist to join our organization. The successful candidate will contribute to the design of robust genetic association and gene interaction studies, develop workflows/pipelines for association analyses and other statistical genetics techniques, perform analyses on large-scale genetic datasets, integrate results from functional genomics screens with human genetics and contribute to interpretation of results with the goal of identifying new therapeutic targets. Successful candidates will contribute directly to the development of novel disease modifying therapeutics.

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PhD Scholarship on Functional and Evolutionary Genomics

Description

The successful applicant must meet the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year Norwegian degree programme, where 120 credits are at master’s degree level. The applicant must have a documented strong academic background in genomics and be able to document proficiency in both written and oral English. For more detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description. The applicant must document expertise and interest in the research subject.

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Bioinformatics PhD Student

Description

We are looking for highly motivated predoctoral researcher as new member for our group. The successful candidate will join an enthusiastic and collaborative team in an excellent multidisciplinary scientific environment. We are looking for applicants that will engage in bioinformatic data analysis to explore gene regulatory functions of insulin secreting cells in type 1 diabetes (for reference Ramos-Rodríguez et al.). The project will require the integration of single cell transcriptomic data and cutting edge ‘omics techniques.

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Postdoctoral Fellows & R Programmers

Description

We are recruiting postdoctoral fellows and R programmers who are enthusiastic about spatial transcriptomics and/or single cell analyses. Our lab has a strong track record in developing innovative computational tools that are useful for solving important biological questions. Details can be found at our lab website.

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Bioinformatics Scientist III

Description

Job Responsibilities Pre-Analysis (10%): Actively participate in the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support.

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Bioinformatician III

Description

To participate in research activities involved in the analysis of Next Generation Sequencing such as data derived from genomics and transcriptomics (bulk and single-cell sequencing) to the UAB Biological Data Science institutional core. To support research services such as study design, data management, data analysis, pipeline development and to aid in the generation of training guides and documentation. To stay abreast of recent literature and other new developments, incorporating new techniques into existing data analysis protocols and pipelines in support of the institutional core’s mission of high quality, reproducible computational biology research.

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Scientist I / Scientist II, Computational Biology - Research Infrastructure

Description

We are seeking a scientific engineer with extensive experience in bioinformatics, passionate about helping people by advancing drug development for diseases with unmet medical need. Ideal candidates will bring significant experience working with large genomic databases and developing robust software tools that drive scientific discovery.

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Postdoctoral Scientist

Description

Dr. Stephanie Hicks (https://www.stephaniehicks.com) is seeking to hire a postdoctoral fellow in genomic data science to join her research group at Johns Hopkins. This postdoctoral fellow will have the flexibility to pursue projects broadly at the intersection of Dr. Hicks’s ongoing research areas: developing fast and scalable statistical methods and open-source software to help researchers solve open problems in genomics, including data with spatial resolution or at the single-cell (or single-nucleus) level. This is highly relevant to public health as these methods and software will enable emerging genomic technologies to become primary tools for translational research and clinical applications for human health.

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PhD Student in Computational Immunology

Description

The group of Computational Immunology is part of the Immunomonitoring platform at the Frankfurt Cancer Institute located in Frankfurt am Main, Germany, https://fci.health/en/immunomonitoring/ . We are interested in understanding the genetic basis for human immune system diversity, with a particular focus on cancer immunology. We develop computational tools for human immunology and collaborate with experimentalists and clinicians at the University Hospital Frankfurt and worldwide.

Research tasks:

• Computational method development + collaborative research projects in the field of cancer immunology and immunotherapy
• Analysis of different types of multi-omics data (single-cell sequencing, proteomics, multiplexed immunofluorescence images)
• Analysis of adaptive immune receptor sequences (B cell and T cell receptors)

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Senior Scientist, Screening Informatics Predictive Sciences

Description

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Position Summary

We seek a collaborative and innovative computational scientist to join the Predictive Sciences team in San Diego and bring razor-sharp predictive research and informatics skills and acute scientific acumen to bear on our next-generation protein degradation assays and AI/ML prediction platforms.

Working alongside Research & Early Development colleagues in the BMS Oncogenesis Thematic Research Center, Small Molecular Drug Discovery, and teams in the global Informatics and Predictive Sciences (IPS) department, the successful applicant will play a key scientific role in systemic integration and use of state-of-art proteomics and other biochemical and cellular assay systems to empower burgeoning AI/ML applications in protein degradation drug discovery research. This role offers the opportunity to directly impact the origination and development of transformational therapies in key diseases of unmet medical need. Strong interest in the interdisciplinary application of computational research to the life sciences is imperative.

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Senior Principle Scientist - Machine Learning – Predictive Drug Substance Research

Description

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

We are looking for experienced Machine Learning Scientists who will be members of a Informatics & Predictive Sciences multi-disciplinary team working in a fast-paced research environment. This role can be remote or located in any of our sites - New Jersey, Cambridge-MA, Seattle or California - (San Francisco, Redwood City, or San Diego). You will be responsible for research and development of novel AI/ML methods and workflows that help to accelerate discovery of novel pharmaceuticals and establishing new chemical-pathology-pharmaceutical target relationships. In collaboration with domain experts, academic and industrial partners, you will have the opportunity to solve real problems on big data.

Are you a self-motivated learner and enjoy solving problems? Do you want to help build something at the intersection of chemical/biological sciences and machine learning that’s transformational? Join us and help revolutionize the application of machine-learning for patient benefit!

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Senior Principal Scientist, Machine Learning Computational Immunologist

Description

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Position Summary

We are seeking a collaborative machine learning scientist with expertise in computational immunology to join the Predictive Sciences team in the San Francisco Bay Area. You will be responsible for the research and development of computational approaches and workflows to identify new antibody targets, discover novel antibody-antigen binding partners, and establish optimal antibody binding characteristics. This role provides the opportunity to leverage large-scale proprietary datasets and work with subject matter experts on cross-functional teams to solve challenging problems in structural bioinformatics and how we engineer the next generation of biotherapeutics.

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Senior Principal Scientist, Computational Systems Biology Predictive Sciences

Description

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Position Summary

We seek a collaborative and highly innovative computational and systems biology researcher to join our Predictive Sciences team and develop novel computational and screening strategies that originate, elucidate, and prioritize our next-generation targeted protein degradation therapies in both hematological and solid tumor indications.

Working alongside Research & Early Development colleagues in the BMS Oncogenesis Thematic Research Center, Protein Homeostasis Thematic Center of Excellence, Sequencing Research and other teams in the global Informatics and Predictive Sciences (IPS) department, the successful applicant will play a key scientific role in the systematic profiling and characterization of one of the world’s most advanced degrader compound libraries and in matching novel compound activities to cancer patient states that are challenging to drug using conventional approaches.

This role offers the opportunity to directly impact the origination and delivery of transformational therapies in key diseases of unmet medical need by innovating and applying leading computational research approaches. Strong interest in the inter-disciplinary application of computational research to empower complex life sciences and therapeutic development objectives is imperative.

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Senior Principal Scientist, Cancer Genomics Predictive Sciences

Description

Job Responsibilities At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Position Summary

We seek a collaborative and highly innovative cancer genomics researcher to join the Predictive Sciences team in San Diego and drive reverse translation efforts that advance next-generation protein degradation therapies in both hematological and solid tumor indications.

Working alongside Research & Early Development colleagues in the BMS Oncogenesis Thematic Research Center, Translational Bioinformatics, Translational Epidemiology and other teams in the global Informatics and Predictive Sciences (IPS) department, the successful applicant will play a key scientific role in stratifying large integrated genomic and clinical patient datasets to identify molecularly-defined patient states and their key drivers as novel cancer therapy targets. Coupled with BMS’ proprietary protein degradation compound libraries, this role offers unprecedented opportunities to study novel disease subtypes, conventionally intractable targets and to directly impact the delivery of transformational therapies in key diseases of unmet medical need. Strong interest in the inter-disciplinary application of computational research methods to life sciences data in pursuit of complex scientific objectives is imperative.

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Principal Data Scientist

Description

Job Responsibilities At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

We are looking for a new team member! A results-oriented individual to contribute to our cheminformatics and data management initiatives to empower scientists at our Research and Early Development (R&ED) Thematic Research Centers. This hands-on role will partner closely with our computational researchers across discovery and translational sciences to transform internal and external data so that it is suitable for drug discovery ML/AI efforts. We are seeking a highly collaborative individual with experience processing, integrating, and mining a wide range of research data types.

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Associate Director, Advanced Molecular Dynamics - Machine Learning

Description

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

In partnership with Discovery Science team members, you will be part of Informatics and Predictive Sciences at Bristol Myers Squibb and work at the nexus of physics-based simulation and machine-learning enabled methods. This role can be remote or located in any of our sites - New Jersey, Cambridge-MA, Seattle or California - (San Francisco, Redwood City, or San Diego). The role will focus on advancing the science of protein homeostasis-based therapeutics and focus on the development and application of in silico design methods to advance drugs with desirable pharmacological properties. You will be part of a group where computation is a central element in program advancement.

Are you a self-motivated learner and enjoy solving problems? Do you want to help build something transformational and revolutionary? Join us and help revolutionize the application of physics-based machine-learning for patient benefit!

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