p style="text-align:inherit"/>Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance. For those living in California or applying to a position in California, please click here for additional information.
If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc.
p>• Proven leadership in large-scale financial engagements • Managing multi-disciplinary teams • Possessing thought leader-level cloud platform knowledge • Exhibiting mastery of programming languages • Understanding advanced analytical applications in finance • Developing large-scale cloud and data strategies • Overseeing complex project success and client satisfaction • Driving revenue growth through new business opportunities • Building and maintaining senior-level client relationships. 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, Massachusetts16 days ago
p>QuEra Computing is seeking a talented and innovative theorist with a strong background in theoretical atomic, molecular, and optical (AMO) physics and quantum information science to support the modeling and architecture development of our digital neutral-atom quantum computers. Experience modeling AMO experiments, including realistic multi-level atomic structure calculations, light-matter interactions, and Rydberg physics.
Boston, Massachusetts30+ days ago
p style="text-align:inherit"/>Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance. For those living in California or applying to a position in California, please click here for additional information.
p>Roles & Responsibilities: Specific duties will vary by project but will generally include a combination of research, design, analysis, testing, experimentation, modeling & simulation, and emulation of communications networks to solve our nations most complex problems. Our engineers have expertise in research, design, analysis, modeling and simulation, lab experimentation, field testing, and implementation of networks across a diverse set of networked communication environments including virtual, wired, and wireless.
Engage in strategic initiatives within M&S, such as creating platform-level translational modeling strategies to impact across projects and developing modeling workflows (e.g., agentic AI).• Proactively seek opportunities to increase the understanding and adoption of translational modeling among internal partners and expand the impact and visibility of modeling through external collaborations. As part of a truly translational modeling team, you will also work closely with clinical pharmacology and pharmacometrics groups to support clinical programs, applying quantitative systems pharmacology (QSP) and mechanistic PBPK/PD approaches to inform key decisions from early dose optimization through life-cycle management.
p>Profile: The AIRx DMPK & Modeling Lead will combine extensive scientific and strategic expertise in DMPK and modeling with the agility to thrive in an externalized, AI-powered operating model - leveraging DMPK and modeling depth and pragmatism to direct and integrate quantitative data and decisions at speed.
Responsibilities include directing CRO partners with precision and accountability to generate high-quality, interpretable data that feeds into AI-powered DMTA cycles and connecting experimental biology to translational strategy and clinical outcomes.
Key Duties and Responsibilities: Lead hands-on PK/PD programming deliverables by creating, validating, and delivering analysis-ready datasets, outputs, and supporting files for Population PK, PK/PD, and exposure-response analyses, ensuring high-quality and timely support for clinical pharmacology objectives. Manage programming resources, priorities, and workload planning in collaboration with Clinical and Quantitative Pharmacology stakeholders to ensure appropriate support across the portfolio, alignment to timelines, and proactive identification of resource gaps or competing demands.
If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc.
Lexington, MA30+ days ago
Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments. Analysis involves features based on mechanistic neuro-biophysical and neuro-motor computational modeling, neuromorphic (software and hardware) simulations, neural interface (e.g., EEG) technology, and machine learning coupled to brain imaging and neural tracing representations.
The Translational PK/PD Scientific Director will: Serve as expert PK/PD modeler in cross-functional teams, to make model-informed decisions about drug discovery, modality selection, and dose prediction across therapeutic areas; Integrate in vitro and in vivo data to build PBPK, quantitative systems pharmacology (QSP), or other mechanistic modeling platforms of drug disposition and pharmacology, to support forward / reverse translation for both established and novel therapeutic targets; Guide software developers in the design of automated workflows for implementing modeling platforms, to inform human PK/PD and dose projections; Collaborate across the PDMB organization to develop modeling and simulation strategies to identify and optimize drug candidates; Provide scientific guidance and cross-functional supervision to a team of growing scientists; Mentor / supervise junior colleagues to perform the above duties and to grow the above capabilities. Preferred: Demonstrated ability to lead interdisciplinary teams and to oversee the work of other scientists and software developers; Expertise in developing novel translational modeling strategies or automated workflows that rely on PBPK, QSP, or related mechanistic modeling.
Cambridge, MA30+ days ago
li>Documented experience having initiated and delivered health economic models (from cost-effectiveness to budget impact models) and tools to support country reimbursement and access in Europe, US and other Asian markets (Australia, Taiwan, Japan etc.). Scientifically responsible for the design and implementation of cost-effectiveness and budget impact models to evaluate the economic impact and value of health care interventions in order to support the market access strategy for SANOFI portfolio.
In your role you will: • Deliver financial modeling engagements for strategic planning, capital allocation, transaction support, investment appraisal, financial planning and reporting purposes • Provide clients with modelling solutions, data analytics and analysis to address complex business problems • Leverage technology, analytical tools and techniques to deliver insights and enhance the value and effectiveness of services provided • Maintain and develop positive, productive and professional relationships with internal and external clients • Work in a highly regarded team that values collaboration, respect and knowledge sharing • Collaborate closely with other Transaction Advisory teams and the wider firm.
• Strong financial modelling skills • Strong Excel skills • Ability to conduct analysis, research and reporting to interpret, validate and reconcile complex data • Ability to learn new data analytics tools and related software, including data visualization and database skills • Excellent business English skills - both writing and verbal • Strong numerical and analytical skills, with a demonstrated aptitude in quantitative and qualitative analysis • Intellectual curiosity.
Boston, Massachusetts30+ days ago
div>By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
ul>Own and manage the end-to-end revenue forecasting process, including development of the annual budget, quarterly forecasts (QBRs), and long-range strategic plans (LRP) based on key business drivers (e.g., customer churn, net retention rate, volume metrics).
Design and implement robust Transactional & SaaS/Subscription revenue models (e.g., based on cohorts, top clients, bookings/billings/ARR/MRR drivers) to accurately project future performance under various scenarios.
Cambridge, MA30+ days ago
li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
If you are passionate about LLM inference hardware, want to contribute at the deepest levels to the state of the art, and have a proven record of C++ hardware modeling experience, this role may be perfect for you! The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
This individual combines deep technical expertise in data architecture, modeling, and ETL with strong delivery leadership, acting as the primary liaison between business stakeholders, data engineering, and enterprise data teams within a regulated financial services environment. Lead the design, development, and delivery of data enablement solutions, including ETL/ELT pipelines from source ingestion through modeled, consumption-ready datasets.
p>Seeking a Systems Modeling, Simulation, and Analysis Engineer to support the continued development and enhancement of existing MATLAB-based modeling tools. The engineer will work closely with cross-functional teams to understand evolving requirements, implement new modeling capabilities, and support analytical efforts.
p>Responsibilities include but not limited to: - Independently adding features and capabilities to the existing Matlab codebase, including the technical background to accurately model basic physics phenomenology in terms of RF propagation, electronic warfare, missile flyouts, sensors etc.
- Performing quality control on new features and the existing code base to include adding unit tests, and other capabilities to ensure that the results are accurate and that new features are interacting appropriately with the rest of the codebase.
Performing modeling runs needed for analysis and building tools that allow for efficient. Responsibilities include but not limited to: Independently adding features and capabilities to the existing Matlab codebase, including.
Established credibility in the M&S or quantitative pharmacology community (e.g., publications, collaborations, or scientific leadership).Fluency in English (oral and written).This is a hybrid role that requires a balance of in-person and virtual working, with an average of 12 days a month on site in Cambridge, MA.The salary for this position is expected to range between:Director: $176,400 and $327,600 per year. D. in biology, bioengineering, pharmaceutical sciences, biophysics, or a related field.10+ years of relevant postdoctoral, academic, industry, or government experience with a track record as a leader and individual contributor in one or more of the following fields: Disease Modeling, Pathway Modeling, Quantitative Pharmacology, Systems Pharmacology, Mechanistic Modeling.
Wilmington, MA30+ days ago
Benefits may include health insurance and prescription plan coverage, dental insurance, family building benefits, vision insurance, mental health resources, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and programs that provide employees time away from work. Recruiting Company: Textron Systems Primary Location: US-Massachusetts-Wilmington Job Function: Engineering Schedule: Full-time Job Level: Individual Contributor Job Type: Experienced Shift: First Shift Travel: Yes, 10 % of the Time Job Posting: 04/28/2026, 11:43:01 AM Job Number: 341522.
Required Skills: Artificial Intelligence (AI), Cheminformatics, Chemistry, Cloud Computing, Computational Chemistry, Computer Aided Drug Design, Data Modeling, Data Science, Drug Discovery Process, Machine Learning (ML), Model Development, People Management, Quantitative Structure Activity Relationship (QSAR), Stakeholder Engagement, Stakeholder Relationship Management. BS, MS or PhD in cheminformatics, bioinformatics, chemistry, biology, biochemistry, physics, statistics, computational chemistry, computational biology, data science, AI/ML, computer science, math, pharmaceutical sciences, engineering, or a related STEM field.
The incumbent will act as a subject matter expert, working closely with the VP, Head of Oncology Clinical Pharmacology, Modeling and Simulation and the Oncology Translational Medicine leadership to provide scientific leadership in trial design, data interpretation, and aid in global harmonization of pre-clinical execution and reporting. input on development of efficient and effective modeling and simulation strategies, including population PK, exposure-response analysis, and physiologically based PK (PBPK) to support clinical trial design, justification of dosing regimen, and provide supportive evidence of efficacy and safety for regulatory submissions.
Required Qualifications: University degree in seismology / earthquake / civil engineering or a similar discipline 5+ years of catastrophe modeling experience Expertise in at least one catastrophe model vendor platforms (such as RMS, Verisk, KCC) Excellent verbal and written communication skills, including a proven track record of communicating effectively with stakeholders at various levels, with technical and non-technical backgrounds Strong technical problem-solving skills and the ability to interpret modelled loss estimates Proficiency with Microsoft Office, SQL Knowledge of one programming language (such as Python, R Studio). Preferred Qualifications: Grad level degree in in seismology / earthquake / civil engineering or a similar discipline Experience with Python, R Studio and geospatial tools (ESRI/QGIS) Knowledge of commercial (re)insurance terms Knowledge of Global Earthquake Model (GEM).
ul>Bachelor's degree and a minimum of 8 years of experience in computer science (or relevant field) Master's degree preferred; Demonstrated programming skills in languages such as Python, R, SQL for data modeling; Experience in data analysis techniques and metrics; knowledge of relational database technologies using SQL is a plus; Working knowledge with Python, R, SQL, or low/no-code/LLM tools for data modeling and/or large-scale data analysis projects; Strong writing and experience briefing technical findings. EMRM is a multi-disciplinary team within Operational Risk that uses applied concepts in econometrics, financial forecasting, balance sheet management, capital liquidity, and financial regulatory requirements management to evaluate firm-wide models, machine learning algorithms, and Gen-AI use cases.
Cambridge, MA30+ days ago
LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team.
Cambridge, Massachusetts16 days ago
p>LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team.
Acting as the front office authority on model design and application, the Director partners closely with Trading, Risk, COO, Finance, and Model Risk Management to enable accurate pricing, transparent risk measurement, and sustainable revenue generation. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism.
li>Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability.
The Difference You Make:
The individual will be responsible for developing Process Design Kits (PDK) and device models to assist product design across the breadth of MACOMs product portfolio - GaAs, GaN, and Si based semiconductor ICs and modules. Device test support where needed and software development to automate electrical test for device characterization and model extraction.