div class="flex max-w-full flex-col grow">Data Science & Analysis - AI Training. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
Day-to-day, your role includes: Driving the use of data in decision-making throughout the organization, partnering with experts, vendors and organizational leaders to get it done Demonstrating expertise in responding to analytic and strategic client issues, including enterprise-wide interactive strategy, strategic budgeting decisions, competitive assessments and business-case analyses Making significant contributions to business development by leading new business initiatives and establishing relationships with prospective clients Developing a framework for all aspects of digital marketing and managing a broad strategic resource pool of strategists across all levels Collaborating across functions, coordinating with general managers across Creative, User Experience, Technology, Media Planning and Project Management teams Establishing partnerships with emerging technology and data providers through an innovation initiative Providing methodological support, coaching, training and advice to S&A staff on various levels across multiple client and internal assignments Codifying and publishing formal frameworks and methodologies for approaching major data and strategic issues, leveraging existing Digitas intellectual capital and developing innovative concepts Qualifications: Were looking for strong, impactful work experience, which typically includes: A Masters degree, preferably in Math or Economics, plus 15 or more years of strategy and operations experience in advertising, management consulting, marketing or interactive consulting Expertise in the digital world and a masterful understanding of multiple industries, including telecommunications, retail, CPG and financial Experience working within pharmaceutical and healthcare environments is a plus A strong knowledge of integrated marketing and CRM disciplines Exposure to audience-based marketing, and programmatic advertising Proven leadership ability and strong, impactful client relationship experience Experience managing a team of experienced employees Strong critical thinking and problem solving skills Experience with modern statistical learning methods (regression techniques, classification models, supervised and unsupervised learning, etc.) Stellar communication and presentation skills: we need someone whos articulate, engaging and straightforward and, above all, can effectively and convincingly translate unstructured business solutions into innovative customer marketing programs A willingness to travel as neededkeeping an open mind to new places, new faces and new ideas Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation. To help with this, were looking for an outstanding SVPsomeone who can lead data-driven strategy to align with client goals, develop innovative solutions to solve marketing challenges, and collaborate with clients and Digitas leadership.
As an integral member of a highly matrixed team, the Director will collaborate with cross-functional experts in the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory Affairs, and Patient-Reported Outcomes, and forge strategic external partnerships to infuse new ideas and capabilities. 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.
As an integral member of a highly matrixed team, the Associate Director will collaborate with cross-functional experts in the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory Affairs, and Patient-Reported Outcomes, and forge strategic external partnerships to infuse new ideas and capabilities. 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.
p>Johnson & Johnson Innovative Medicine is currently seeking an Manager, R&D Data, Data Science & Artificial Intelligence - Immunology Real World Evidence to join our Data, Data Science and Artificial Intelligence team (DDSAI) and work at one of our sites in either Spring House, PA, Cambridge, MA, Titusville, NJ, or Raritan, NJ (no fully remote option available). Contribute to defined evidence generation workstreams supporting clinical development programs, including evidence gap assessment, patient characterization, subgroup identification, endpoint exploration, asset differentiation, and comparative effectiveness analyses.
p>Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.
p>Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.
Boston, Massachusetts30+ days ago
For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.. As a Data Engineer, you'll play a critical role in high impact Corporate Technology Investment Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes.
With over 300 employees, seven technology centers, and more than 45,000 machines installed across North America, Methods is committed to delivering cutting-edge manufacturing solutions from its corporate campus in Sudbury, Massachusetts. This job description is designed to provide an overview of basic skills, experiences and education required to perform the job and is not designed to cover or contain a comprehensive listing of all activities, duties, or responsibilities required of the employee to perform the essential functions of the job.
Somerville, MA18 days ago
p>In addition, this role leads an important function within the Data organization and plays a key role in facilitating business development, engaging in thought leadership, and supporting strategic partnerships. This role is accountable for aligning data strategy with business objectives, establishing governance operating models, and ensuring successful execution across cross-functional teams.
Develop a scalable data science pipeline to harmonize and link detailed information on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. The position will be supervised by Professor Francesca Dominici and will focus on building and evaluating a decision framework to guide the expansion of AI data centers, aligning economic opportunity with social impact.
This role combines deep epidemiologic expertise with executive presence, leading teams to deliver innovative real world evidence that advises critical business decisions throughout the product lifecycle, with an emphasis on applications in Clinical Development, Regulatory, and Safety. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Boston, Massachusetts22 days ago
The Data Analyst will work collaboratively with investigators, senior analytical staff, and clinical teams to assist with maintaining high-quality research datasets and supporting ongoing clinical research projects. Overview: We are seeking a detail-oriented and methodical Data Analyst I to support clinical and translational research studies through data management, quality control, and statistical analysis and reporting.
Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation & Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness).
Deep expertise in at least one of the focus areas: relational databases, data modeling and ontology engineering, data platform and lakehouse architecture (Databricks, Snowflake, Spark), or knowledge graph and specialized database systems (Neo4j, Neptune, MongoDB, TileDB) Preferred Qualifications • Working familiarity with multiple database paradigms - relational, graph, document, columnar, key-value - and strong SQL skills. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Womens Initiative for Leading at Lilly (WILL), enAble (for people with disabilities).
p>An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability.
Our current groups include: Africa, Middle East, Central Asia Network Black Employees at Lilly Chinese Culture Network Japanese International Leadership Network (JILN) Lilly India Network Organization of Latinx at Lilly (OLA) PRIDE (LGBTQ+ Allies) Veterans Leadership Network (VLN) Women's Initiative for Leading at Lilly (WILL) enAble (for people with disabilities). If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance.
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.
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural language processing, generative AI, signal processing, applied probability and statistics, data analysis, and controlled experimentation. Perform the technical elements of a variety of product development and data analysis projects (prototyping, evaluation, productionization, and maintenance), especially related to audio and video processing, generative AI, predictive modeling, and NLP.
You will contribute to communities, the region, and the nation by conducting economic research, participating in monetary policy-making, supervising certain financial institutions, providing financial services and payments, playing a leadership role in the payments industry, and supporting economic well-being in communities through a variety of efforts. Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.
This role is responsible for the full reporting lifecycle from gathering reporting specifications, validating source-of-record datasets, and assessing data quality, to designing intuitive visualizations and maintaining an accurate reporting catalog. You will partner closely with business stakeholders, data engineers, data governance, and product teams to ensure reporting assets are accurate, compliant, scalable, and aligned with enterprise data management principles.
Lexington, MA30+ days ago
Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware prototyping, our team of analysts, engineers, and technologists applies cutting-edge techniques in data analysis, predictive analytics, and systems engineering to solve complex Homeland Protection problems and strengthen national security. Technical staff employ computing environments such as MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in developing high-impact briefings for Government change-makers.
p>Required Skills: Cancer Genomics, Cancer Research, Computational Methods, Data Science, High Dimensional Data Analysis, Immuno-Oncology, Machine Learning (ML), Multimodal, Multimodal Analysis, Oncology, Real World Data, Statistical Learning.
Analyze, summarize and visualize the findings from large multi-modal clinico-genomic datasets which include bulk RNAseq, WES/WGS, imaging, epigenetic profiling, single-cell RNAseq, and proteomics data from oncology clinical trials and real-world datasets.
Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. What you'll work on: Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights.
p>Job Description: Essential Responsibilities:
- Extracts data on study patients from electronic and paper hospital records, outpatient charts and private physician office records, as appropriate, in order to complete data collection required by specific protocols.
- Performs initial statistical analyses on data to create large databases from multiple sources, confirm complete data capture, and calculate data abstraction accuracy among data coordinators and students.
Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidates relevant years of experience, domain knowledge, and interview performance. Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.
Participate in peer review sessions and maintain awareness of new advances in credit risk modeling techniques to ensure the application of best practices to CFG credit risk models. Explore large data sets using advanced statistical and modeling tools and pull datasets directly from source systems.
The role will work closely with business stakeholders, data product owners, data engineers, analytics teams, architects, governance teams, and AI practitioners to ensure data products are reusable, trusted, scalable, and aligned to business outcomes. The analyst will participate across the full data product development lifecycle - from business discovery and requirement definition through semantic model design, testing, governance alignment, release, adoption, and continuous improvement.
Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering. As an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving data-driven decision-making and business growth.
Serving as a liaison between the business and IT, this role develops a strong working knowledge of Eversource Customer data ecosystem (Customer data products, Enterprise Data Platform (EDP) availability, and how data supports day-to-day business processes) and works closely with business partners to anticipate needs and translate business questions into clear data requirements, mapping logic, and testable acceptance criteria. The role also collaborates with Domain, Solution, and Enterprise IT Architects and delivery teams to define functional and technical requirements, evaluate workflow/process improvements, explore conceptual solution design options, and play a key role throughout the application lifecycle for small and large development efforts.
The key responsibilities of the Clinical Research and Data Engineer are/to: Lead execution of clinical research projects, from problem definition, study goals, data cleaning, analysis, reporting and presentation to internal and external stakeholders. Integration of digital clinical data across the patient journey is creating new opportunities to revolutionize patient treatment, clinical research, and augment decision making in orthopaedics.
Lexington, MA30+ days ago
Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware prototyping, our team of analysts, engineers, and technologists applies cutting-edge techniques in data analysis, predictive analytics, and systems engineering to solve complex Homeland Protection problems and strengthen national security. Technical staff employ computing environments such as MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in developing high-impact briefings for Government change-makers.
Woburn, Massachusetts4 days ago
More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm. You will collaborate closely with cross-functional teams across business units, finance, engineering, and operations—framing ambiguous problems, developing structured hypotheses, and delivering executive-ready insights that influence Raytheon’s strategic direction.
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.
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.
You''ll develop tools that transform raw measurement and metrology data into actionable insights, directly informing how we design better photonic chips faster for large-scale neutral atom quantum computers. QuEra Computing Inc. seeks a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports our design, fabrication, and testing workflows.
You will contribute to communities, the region, and the nation by conducting economic research, participating in monetary policy-making, supervising certain financial institutions, providing financial services and payments, playing a leadership role in the payments industry, and supporting economic well-being in communities through a variety of efforts. Working in close collaboration with IT Services leadership, this position will manage the full cycle of complex Research data and technology projects, working with junior staff to execute while utilizing a variety of data platform tools and methods.
Senior Data Scientist's will have opportunities to collaborate laterally and vertically, internally, and externally, as well as lead and design projects through developing various approaches to complex issues. As a Senior Data Scientist on FTI's AI Build Team, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously contributing to workstreams on larger projects.
Duties include: - Clean, preprocess, and analyze large datasets to extract meaningful insights and patterns;
- Collaborate with multi-functional teams to identify and define business requirements and ensure alignment with data science objectives;
- Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability;
- Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows;
- Communicate sophisticated technical concepts and findings to technical and non-technical partners to ensure clear understanding and agreement; and.
Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.