div class="job__description body">Summary.
Excellent problem-solving abilities and analytical skills, a self-starting, inventive attitude towards problem-solving.Boston, Massachusetts15 days ago
These subsystems rely on diffractive optics, holography, optical tiling strategies, aberration correction, and camera-in-loop feedback to deliver stable, uniform, and precisely controlled optical fields across large qubit arrays. In this role, you will contribute to the advancement of neutral-atom-based quantum computing technologies by architecting, prototyping and integrating optical subsystems into QuEra’s next-generation quantum computers.
Boston, Massachusetts4 days ago
li>Excellent problem-solving abilities and analytical skills, a self-starting, inventive attitude towards problem-solving. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.
p>All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
Cambridge, MA30+ days ago
p>We are seeking a Senior Computer Vision and Autonomy Engineering Lead to provide technical leadership, architectural guidance, and team management for projects involving robotic navigation, autonomous systems, and advanced sensor processing. Collaborate with scientists, engineers, and operational subject matter experts to define technical requirements and translate research concepts into implementable solutions serving the ground, sea, air and space domains.
Cambridge, Massachusetts15 days ago
div>MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. .
p>Our AI team is focused on all aspects of 1) designing, prototyping and developing solutions (algorithms and architectures for object detection and tracking, classification etc.), 2) Machine Learning training and optimization (distributed training and inference acceleration) and 3) data (tools for data acquisition, annotation - both human and machine-powered, data pipelines and supporting ML infrastructure). We are also proud to be industry leaders in video security solutions installed in more than 120 countries at thousands of customer sites, including school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.
p>Key Responsibilities: • Research and develop deep learning models for MRI reconstruction, segmentation, quantification, and image enhancement • Design, optimize, and evaluate AI pipelines to improve image acquisition efficiency, image quality, and robustness • Integrate AI methods with quantitative CMR imaging biomarkers, including myocardial blood flow, strain, and tissue characterization • Develop and apply methods for multi-modality data integration, combining imaging, physiologic signals (e.g., ECG), genetic, and clinical data for diagnostic and prognostic modeling • Perform rigorous model validation, including reproducibility testing, bias assessment, and external validation • Design, develop, and implement user-friendly software platforms for clinical deployment of AI-enabled imaging tools. USD FLSA: Exempt Req ID: JR89997 330 Brookline Avenue, Boston, MA, 02215 Get directions Get Directions Beth Israel Deaconess Medical Center 330 Brookline Avenue, Boston, MA 02215 Start Mode Car Transit Bike Walk Transit Bus Subway Train Tram Rail Default Fewer transfers Less walking Avoid Tolls Highways Ferries G Google Maps Apple Maps Waze Apple Maps doesn't support Bike mode; we'll open Driving.
They will have a passion for exploring and learning the deeply technical aspects of nuclear weapon effects, high-altitude nuclear environments, nuclear survivability, modeling and simulation (M&S), nuclear physics, electromagnetic propagation, and system design and analysis. Applied Research Associates, Inc. is an employee-owned international research and engineering company recognized for providing technically superior solutions to complex and challenging problems in the physical sciences.
All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. Johnson & Johnson Innovative Medicine is recruiting for a Principal Data Product Scientist, DDSAI Immunology to join our Immunology R&D Data, Data Science & Artificial Intelligence (DDSAI) team and to enable and scale high‑value data assets across Immunology Research & Development.
p>All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America.
Work with Data Science & Digital Health colleagues, IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations specifically geared toward Immunology R&D needs and applications.
Required Skills: Alzheimer''s Disease, Biological Research, Biomarker Identification, Biomarkers, Collaborative Research, Computational Biology, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Detail-Oriented, Genome, Machine Learning (ML), Neurodegenerative Diseases, Neurological Disorders, Neuroscience, Omics, Parkinson''s Disease, Programming Languages, Proteomics, Self Motivation, Stakeholder Relationship Management. They will work alongside other data scientists, geneticists, AI/ML scientists in the department to develop and apply innovative approaches to analyze and integrate proteomics data with WGS, bulk/single-cell/spatial RNAseq, and metabolomics data to identify disease subtypes and predict therapeutic responses of biomarkers and clinical endpoints in specific subgroups of patients.
The full job description is available, here: https://www.dropbox.com/scl/fi/v0fh102aidthd9klzwqz8/Research-Scientist-3-Job-Description.docx?rlkey=sfv1s790df7ozb9e3uedukkku&st=1ckptkco&dl=0.
This role is responsible for designing, fine-tuning, evaluating, and governing large and small language models (LLMs) and advanced machine learning models used in healthcare and operational settings. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.
Framingham, MA21 days ago
Working on high-impact and often ambiguous initiatives, the Data Scientist III independently leads significant components of projects, mentors junior team members, and proactively identifies opportunities for innovation. What you'll be doing: Develop and implement advanced marketing measurement solutions, including Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA), to quantify channel performance and optimize spend.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k.
p>A Note on Recruiting Outreach Weve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). The ideal candidate will possess a strong background in software development, excellent data analysis and communication skills, and a deep understanding of machine learning and statistics.
Somerville, Massachusetts30+ days ago
p>The ideal candidate combines deep structural intuition with a demonstrated ability to rapidly assess and apply protein design methods and metrics across diverse design problems, thinks in terms of reusable capabilities, benchmarks, and feedback loops across applications, and uses modern generative models and experimental readouts to guide iterative design cycles across modalities. This role sits at the intersection of machine learning, structural biology, and therapeutic development, where you will stay at the leading edge of internal and external models for de novo protein design and systematically benchmark, integrate, and apply them within tightly integrated design–build–test–learn cycles to advance our therapeutic pipeline and impact patients' lives.
Cambridge, Massachusetts10 days ago
A Flight Computer Software-in-the-Loop Simulation Engineer designs, develops and refines dynamic models, simulations and computing infrastructure for rapid assessment, integration, and test of new flight computers and aerospace vehicles. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities.
Were looking for rigorous analytic training and 3+ years professional experience in a data science or analytics role, which typically includes: A Bachelors or Masters degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods. As a Senior Data Scientist, youll solve complex marketing and business challengesfrom cross-channel media and customer experience optimization to segmentation, targeting and business strategyby accessing, integrating, manipulating, mining and modeling a wide array of data sources.
Cambridge, MA30+ days ago
All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. Leverage and implement data versioning and lineage tracking to support data traceability, compliance, maintaining documentation for data architectures and workflows.
Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Education & Experience: Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or; 7+ year of relevant experience; higher degree education and research tenure can be counted.
Cambridge, MA30+ days ago
All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. Work with Data Science & Digital Health colleagues, IT, and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations specifically geared toward Oncology R&D needs and applications.
Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. The role involves close collaboration with cross-functional teams, supporting Financial Intelligence Units (FIU) through targeted data analysis, and contributing to strategic initiatives that strengthen our AML efforts across the organization.
p>Department Overview: The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition.
Cambridge, MA30+ days ago
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.
Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS.
p>Requirements - Technical Skills & Experience: - AI/ML & Deep Learning: Proven experience developing and deploying AI/ML models in biological or biochemical contexts, with proficiency in deep learning architectures for structural data (GNNs, equivariant neural networks, transformers, diffusion, flow matching) using Python and relevant libraries (PyTorch, JAX, RDKit, ESM/fair-esm, Biopython, etc.). IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS.
Cambridge, MA30+ days ago
p>All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
p>MITREs Data Science and Engineering department is looking for qualified applicants to bring their advanced data science, data engineering, machine learning, artificial intelligence, and applied research skills to bear on solving problems of critical national importance. Preferred Qualifications:
- Masters degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 3 years of relevant experience; PhD in Computer Science, Applied Mathematics, Statistics, Data Science, or related field.
p>Preferred Qualifications: - Masters degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 6 years of relevant experience; PhD in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 3 years of relevant experience.
MITREs Data Science and Engineering department is looking for qualified applicants to bring their advanced data science, data engineering, machine learning, artificial intelligence, and applied research skills to bear on solving problems of critical national importance.