Duties: Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, and Robotics; As an Amazon Scholar, your responsibilities may include: Advising business leaders on strategic plans; Diving deep to solve a specific technical problem in an organization’s roadmap, and; Advising junior researchers on methods
Requirements: PhD in a relevant field or related discipline; 7+ years of relevant work or academic experience; Experience leading technical research projects with multiple stakeholders; Current affiliation with an academic or research institution

Duties: Designs and performs experimental studies that directly answer the above research questions, using both in vitro systems and animal models; Collects and analyzes data and presenting at national/international meetings; Prepares manuscripts for publication; Applies for external fellowships; Mentors junior lab members; Establishes new research protocols and procedure; Summarizes research findings and publish results in research journals; Maintains laboratory operations; Supervises research staff
Requirements: PhD or MD with previous training in biochemistry or cell biology and possess exceptional computational skills. The most advanced degree must have been conferred within the last 3 years; Experience with large-scale genomic datasets; Prior experience with brain development, and/or cancer cell biology would be an asset; Prior first author publications are highly desirable

Duties: Research Scientist to perform fundamental research on probabilistic computation, probabilistic programming, and their applications. Responsibilities include contributing to artificial intelligence and natural intelligence research that leverages hybrids of neural, symbolic, and probabilistic computation; implementing probabilistic programs, making improvements to probabilistic programming systems, and/or developing and analyzing mathematical models of probabilistic programming languages; contributing to quantitative evaluations of AI systems, models of natural intelligence, probabilistic programming platforms, and research planning and reporting; improving open-source software platforms; and supporting the broad dissemination and teaching of probabilistic programming platforms via workshops and MIT academic courses
Requirements: Ph.D. in computer science, mathematics, or related field or a master’s and five years’ experience

Duties: Contribute to the design and analysis of engineered mammalian cell lines; Work closely with bench scientists by guiding experimental workflows and quantitative measurements to ensure statistical rigor; Regularly dive deep into the multiomics stack, innovate on analysis techniques, and present findings to our organization, leadership, and partners; Explore novel genomics and machine learning algorithms
Requirements: You are a highly skilled technical leader in computational biology interested in engineering biology, and with years of experience in an industry or research position; You embrace ambiguity and always drive for impact. In addition, you have extensive experience with software scripting (e.g., Python and R), bioinformatic toolsets, high-performance and cloud computing, a strong foundation in statistics and statistical design of experiments, a collaborative mindset, and a passion for continuous learning

Duties: Directs one or more projects including multiple clinical trials, observational studies, or real world data (RWD) investigations. Also includes presentation to the Peer Protocol Review Committee (PPRC) or other internal senior review boards; Manage a team of direct reports including their performance and development. Mentors project team members and promotes effective team operation and cross-functional collaboration; Possesses an expert understanding of modern drug discovery and development processes; Represents Biostatistics as a member of cross functional teams, providing strategic input and expert technical guidance to elicit meaningful and/or productive outcomes. Sets the technical and scientific directions of the project(s)
Requirements: Ph. D. or master's degree in Statistics or Biostatistics; Typically requires 10 years of experience with a Ph.D. or 13 years of experience with a master's degree, or the equivalent combination of education and experience

Duties: As a member of the cancer center, the faculty member will undertake cancer research activities that are aligned with MCC vision and mission: to improve the lives of all Virginians by delivering cutting-edge cancer care through patient-centered prevention and treatment; high-impact, innovative research; community input and engagement; and education and training of the next generation of researchers and healthcare professionals. The vision of Massey is to be a premier community-focused cancer center leading the nation in cancer health equity and ensuring optimal health outcomes for all
Requirements: Ph.D in Bioinformatics, Computational Biology or a closely related field; 8 or more years of research experience in the fields of bioinformatics, computational biology, systems biology, proteomics, and/or genomics; A deep understanding of Ras signal transduction pathways with experience in investigating the mechanism of KRAS addiction of cancer cells; Extensive publication record

Duties: Lead internal and external efforts to understand the pathogenesis of cardiovascular and metabolic disease (obesity, heart failure, atherosclerosis and vascular biology, chronic kidney disease and others) at a cellular and tissue level; Provide actionable biological insights and build scientific understanding of specific drug targets and biological pathways within the context of cardiovascular and metabolic diseases through the implementation and application of tools and methods to analyze omic/multi-omic data (including but not limited to scRNAseq, sc-multimomics, spatial transcriptomics, bulk RNAseq, epigenetics, and proteomics)
Requirements: Ph.D. in Biological Sciences, Molecular Biology, Biochemistry, Computational Biology, or related field required; 5+ years relevant experience applying quantitative approaches to generate and address biological questions, preferably in a pharmaceutical, biotech or comparable context; 3+ year’s experience in research of cardiovascular and metabolic diseases preferred, including but not limited to obesity, heart failure, atherosclerosis and vascular biology, chronic kidney disease

Duties: We are hiring an Applied Bioinformatics Research Scientist to identify metabolic vulnerabilities in lung cancer for therapeutic targeting. Lung Cancer is the most common cause of cancer deaths worldwide. Tyrosine kinase inhibitors and immunotherapy have been shown to be effective in a subset of patients; however, the overall survival rate for this disease remains low, especially for metastatic disease. Moreover, small cell lung cancer (SCLC) patients have a poor prognosis, and there especially exists a gap in knowledge in understanding SCLC and identifying effective therapeutic strategies. The goal of our research team is to understand the underlying biology of key drivers in lung cancer by identifying metabolic vulnerabilities that can ultimately be used as single agents or combined with immunotherapy to target lung cancer therapeutically. Join our team of researchers who are funded through a P01 Program Project Grant!
Requirements: PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields; Experience working with at least one “omics” type (e.g., DNA-seq, RNA-seq, metabolomics, proteomics); Preference will be given to candidates with experience in integration of multi-omics data

Duties: The successful applicant will have the opportunity to develop novel algorithmic architecture to leverage large-scale experimental genomics datasets to build artificial intelligence with a fundamental understanding of biological systems. The postdoctoral fellow will have access to large-scale experimental data and state-of-the-art computational infrastructure to accomplish their research goals and will work in highly collaborative environment with computational and experimental biologists, synergizing the strengths of both domains to advance discoveries in network inference algorithms and the mechanisms of gene regulation
Requirements: PhD in a computational field with experience in deep learning and/or network inference methods; Advanced competency in Python and Bash, or equivalent; Experience with PyTorch or equivalent and interfacing with GPU hardware would be beneficial

Duties: Applying and developing digital pathology methods to extract disease biology insights and support innovative clinical development and research programs; Actively and collaboratively promoting scientific and technical innovation with other members of the department, including subject matter experts in disease biology, companion diagnostics, and data science; Directing and supporting publications in high quality scientific, technical, or medical journals; Representing the department through interactions with computational, biological and translational research collaborators
Requirements: PhD degree in a relevant field (e.g. computer science, computational biology, bioinformatics, molecular biology, cancer biology); Minimum of 3 years post-PhD experience, with demonstrated scientific contribution in digital pathology in academia and/or industry; Fluency with Python and statistical data analysis using modern frameworks (e.g. R, NumPy)

Duties: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data
Requirements: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; 3 Years of experience

Duties: Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible; Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants’ development environment. Rapid response and ongoing improvements to these systems are a key responsibility
Requirements: 4+ years of full software development life-cycle experience*; Demonstrable proficiency with C++; Experience designing effective APIs; Knowledge of Python or other scripting languages

Duties: Developing personalized recommendation systems that help customers find the right CE products for their needs; Creating high quality educational content leveraging complex AI techniques to simplify complex product information; Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scale; Building AI Assistant tools that have cross-Amazon user adoption, with the potential to transform how employees across the company work
Requirements: Bachelor's degree in computer science or equivalent; 5+ years of non-internship, professional software development experience; 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; 5+ years of collaborating with, and influencing applied scientists and the broader science community within an organization

Duties: Collaborate with leads from other disciplines (embedded software, microbiology, biomathematics, etc.) to provide outstanding application support (Troubleshooting, Issue Resolution, Account Management); Develop novel systems for medical device data analysis, including break/fix, change requests, etc; Install and configure legacy and pre-release instruments in R&D laboratories for data collection and analysis; Monitor/Report issues via ITIL/ITSM
Requirements: Bachelors degree in Computer Science, Engineering, Information Systems, Biology, Microbiology, Biomedical Engineer, Bioinformatics, Clinical Laboratory Science, or equivalent practical experience; 6+ years of experience ineither Software Development, IT Support/Networking, or Clinical Laboratory experience; Experience working through various phases of software development lifecycle, including some or all of the following: feasibility, development, software verification, systems verification, and/or software validation

Duties: Survey and understand prior literature to evaluate and recommend the best approaches for solving problem at hand; Write production code at scale, testing and productizing new algorithms; Collaborate with a team of Data Scientists, Engineers and Product Managers; Ensure a scalable and reliable cloud service with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues; Leverage Generative AI models for text generation and tailor them to generate content for marketing use-cases
Requirements: Masters in Computer Science with 5+ years of work experience with specialization in NLP or relevant experience; Experience working in Deep Learning and Generative AI with a focus on Large Language Models (LLMs); Coding expertise in Python; Expertise in Personalization and Recommender Systems; Coding expertise in one or more of Keras, Tensorflow, Pytorch or equivalent

Duties: Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems; Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components; Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own
Requirements: 3+ years of non-internship professional software development experience; 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience programming with at least one software programming language

Duties: Drive agile best practices to foster a culture of technical excellence, focus on value, and prioritization; Play a leadership role (Technical Lead) in the design, development, testing and delivery of PolySystems modeling capabilities to support domestic Individual Life, Retirement, and Long Term Care businesses, as well as international businesses reinsured to Bermuda; Help define and implement PolySystems best practices across the suite of supported models and businesses; Design and lead testing of solutions and be able to communicate those solutions to a range of audiences; Serve as the lead for conversion of actuarial models to PolySystems by providing recommendations for modeling options, validation of the converted model to ensure accuracy, building end-to-end automation, and explaining the differences to stakeholders and assisting them by providing information they need to perform user acceptance testing
Requirements: 7+ years actuarial experience is required, with at least 3 of those years focused on actuarial modeling. Fellow of the Society of Actuaries designation (FSA) is preferred; Strong quantitative modeling and analytical skills; ability to understand and explain complex quantitative concepts and end-to-end models/systems; Strong verbal and written communication skills; able to explain technical concepts to non-technical audiences

Duties: Provide solutions to complex bioinformatics problems, requiring strong software engineering skills and background in highly scalable web based consumer applications development; Design and develop cutting edge web applications and user interfaces; Design and develop high performance components/sub-systems for highly scalable service-oriented software; Write well-documented, extensible software code that is easy to maintain, and that adheres to generally accept programming standards and OOP practices; Own the overall quality of your code including unit testing, functional testing and performance; Produce and maintain technical designs and documentation relevant to assigned software development tasks
Requirements: Bachelors in Computer Science required. Masters preferred; 3+ years of developing web applications; Experience building/using bioinformatics tools for NGS data required; Highly proficient in JAVA and strong understanding of multi-threaded programming; Excellent grasp of OOP concepts and design patterns

Duties: The Wistar Institute has an opening for a motived candidate to join the Bin Tian lab as a Post-Doctoral Fellow to study regulation of mRNA processing and metabolism in cancer using computational and bioinformatic approaches. One area of our research is to examine how dysregulation of mRNA processing steps, especially the 3' end processing, impacts mRNA metabolism, such as subcellular localization and translation, and helps cancer cell survival and metastasis. A second area of our research is to examine therapeutic approaches that target vulnerabilities of cancer cells in mRNA processing and metabolism
Requirements: Candidates should have a Ph.D. degree in Computational Biology, Bioinformatics or a related field. Candidates who have experience in experimental biology and wish to advance a career in Bioinformatics and Computational Biology are also encouraged to apply

Duties: Apply principles and methods of bioinformatics to assist scientists, principal investigator and other laboratory team members. Discuss study design with research team, and apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information
Requirements: Bachelor of Science and 3-4 years of experience or equivalent combination of education and experience is required

Duties: Build and improve the ads marketplace to optimize value for Pinners, Partners and Pinterest; Apply state-of-art machine learning techniques to improve ads format triggering, ads ranking and selection. Drive value via the ads marketplace systems for bidding, budgeting, ad ranking, tuning, pricing, ad allocation and placement; Work with designers, product managers, data scientists to design and deliver end-to-end pinner facing ads products that directly move the bottom line for Pinterest; Design, implement and launch A/B experiments to improve the overall ads marketplace
Requirements: MS or PhD degree in Computer Science, Machine Learning or related field; 4+ years of industry experience; Strong software engineering, mathematical and analytical skills; Hands-on experience with model offline development and online serving; Hands-on experience with large-scale online e-commerce systems is preferred

Duties: Machine Learning/AI Developer
Requirements: 12+ years of development experience; Machine-Learning experience (preferably Sagemaker or Python); Cloud infrastructure experience; Leadership experience

Duties: As an integral part of the team, you will focus on fibrotic diseases and work closely with computational biologists in Genentech Computational Sciences and experimental scientists in Immunology Discovery. The goal is to design and analyze multi-omic experiments from pre-clinical models and patient samples in ways that maximize insights into fibrotic disease biology/development. These insights will directly inform novel therapeutic target/biomarker discovery and address key questions related to forward and reverse translation
Requirements: You have a Ph.D. in Computational Biology, Biostatistics, Bioinformatics, or similar, with a strong publication record. Alternatively, you have a Ph.D. in Immunology, Molecular Biology, etc. combined with a record of high-throughput data analysis, supported by publication in this area; You have a solid understanding of the relevant concepts in immunology and enthusiasm for learning more; You have broad experience with data generated by one or more high-throughput molecular assays: Next-generation sequencing, flow cytometry, etc; You have strong experience in the use of a high-level programming language such as Python or R for complex data analysis​

Duties: Configures, debugs and ensures stable operation of HPC cluster tools such as Bright Cluster Manager, OpenHPC, Warewulf; Configures, optimizes and ensures stable operation of software such as MATLAB and open source equivalents such as Octave and SciLab. In addition, ensures that any added module or toolbox needed for this software is working properly, including necessary licenses; Configures, optimizes and ensures stable operation and availability of Message Passing Interface (MPI) such as OpenMP libraries and utilities; Configures, optimizes and ensures stable operation and availability of the R statistical package and necessary extra modules needed by the HPC cluster users; Configures, optimizes and ensures stable operation of GPU related software and libraries such as CUDA and others; Configures, optimizes and ensures stable operation of specific software needed for mathematical oncology, bioinformatics, biostatistics and any other groups of research involved in the use of the HPC cl...
Requirements: Bachelor’s Degree in Computer Science, Information Technology, Management Information Systems, Biology/Chemistry/Physics or related field; Minimum of seven (7) years' experience designing, developing and successfully administering or supporting Unix- based systems

Duties: Conduct independent research under the joint mentorship of Drs. Geiger-Schuller and Corrada-Bravo; Develop and apply novel ML methods for interpretable representation learning of multi-modal data (including spatial transcriptomics and imaging) to assist the design and interpretation of in-vivo perturbation screens with spatial readouts; Collaborate with colleagues in neuroscience on the design and analysis of perturbation studies based on the application of methods developed in this project; Publish high-quality papers reporting on methodological and biological advances resulting from this work
Requirements: Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field required; Demonstrated ability to design, implement, and apply modern ML methods for the analysis of high-throughput genomics data in general (e.g., spatial transcriptomics, scRNA-seq, RNA-seq, scATAC-seq, ATAC-seq, CITE-seq, etc.) required; Expertise implementing ML methods using appropriate technologies (e.g, PyTorch, JAX) required