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Entity: Supply, Trading & Shipping Job Family Group: Supply & Trading Group Job Description: Duties: Work proactively with marketers, originators, and traders to develop power and other cross commodity products. Build and manage positive relationships with marketers, originators and traders to better understand current issues/hurdles and provide investment recommendations. Act as a subject matter expert for valuation and partnering with a commercial development director, commercial staff and other relevant stakeholders to guide deals through the assurance and approval process. Structure and value deals by quantifying the embedded optionality, risks, and relevant value drivers. Propose better value capture, hedging and risk management methods to commercial stakeholders. Leverage Python to develop and improve valuation and hedging models of energy assets and exotic structured transactions, and to build automated risk and deal pricing systems. Challenge and validate modelling approaches via back-testing and conducting research studies of price dynamics in the real vs. modelled world. Bring in latest developments in AI and Machine Learning to make pricing and hedging more efficient by reducing deal pricing time and automating processes. Provide deal expertise to the TS Trading Analytics and middle office staff to ensure system accurately reflects valuation and exposure while identifying both commercial and risk objectives. Collaborate and stay connected with the wider Trading & Shipping Analytics team responsible for developing and implementing modelling tools. May work from home on a hybrid schedule within 50 miles of New York, NY). Minimum Requirements: Ph.D. degree or foreign equivalent in Applied Mathematics, Physics, Economics, or closely related quantitative field plus two (2) years of experience in a related occupation. Within the two (2) years, experience must include the following: supporting structured products sales team and trading desk in real-time; quantitative modelling; risk management techniques and discounted cash flow analysis; statistical analysis including univariate and multivariate modelling; forecasting, market and portfolio risk modelling; application of option pricing theory in developing pricing models and development of automated structured derivative pricing platforms; and ability to explain impact on deal value of price changes (level, spreads, and dynamics) as well as valuation assumptions and hedge strategies to technical, non-technical, and leadership team stakeholders. How much do we pay (Base)? $152,339.00 - $264,000.00 per year (please note the pay range listed for this position is a good faith and reasonable estimate of the base pay range for this position at the time of posting. You may learn more about our generous benefits here ___.) Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Analytical Thinking, Computational Thinking, Continued Learning, Data Analysis, Data cleansing and transformation, Data Management, Data Sourcing, Data visualization and interpretation, Dialogue enablement, Exposure Management, Machine Learning, Macroeconomics, Market analysis methods, Market Risk Management, Statistics, Trade execution and management, Trading Fundamentals, Sentiment and Trends, Trading knowledge Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Stealth Communications is expanding its Physics Division and is seeking multiple highly disciplined experimental physicist to join a team investigating vacuum degeneracy propulsion concepts rooted in Planck-scale dipole field structures and toroidal charge ring coherence. The position involves experimental validation of collapse induced pressure gradients at the interface of quantized polarizable vacuum structures, exploring the hypothesis that local phase shifting of the vacuum state may yield net propulsion beyond the light-speed threshold. Responsibilities • Design, construct and operate toroidal EVO generation chambers utilizing multi-axis coherence field coils and vacuum-phase transducers, • Conduct phase aligned multi-resonator experiments to generate controlled vacuum collapse zones and assess induced pressure differential effects on matter inertia, • Engineer and test stacked AB-phase EVO geometries for bidirectional vacuum coupling and anomalous mass fluctuation, • Integrate structured magnetic vector potentials and longitudinal B-fields with entangled photon injection systems to modulate local spacetime curvature, • Develop measurement frameworks to quantify coherence length, phase displacement,and group velocity modulation in vacuum-engineered environments, • Simulate and experimentally validate nullification of electron spin precession under dynamic electric/magnetic field alignment using multi-stage toroidal drivers, • Investigate photon-spin/magnetic vector interactions to engineer localized spacetime displacement fields through vacuum polarization modulation, • Lead investigations into photonic-magnetic coupling for energy localization, metric gradient generation, and impulse vector field propagation, • Analyze field data to characterize system behavior under both near-vacuum and ultra-high vacuum regimes, correlating metric field distortion with observable propulsion, • Work collaboratively with theorists, field engineers, and plasma specialists to refine gravitoelectric permittivity differential models, • Design and validate push-pull dipole propagation cycles through phase-locked electromagnetic standing wave fields and tunable low-inertia plasmoid confinement, • Maintain rigorous safety, containment, and discharge control procedures in high-voltage and sub-Planck scale quantum fluctuation testing environments, • Document all findings (encrypted technical logs); brief compartmented leadership teams on significant phase transitions, energy anomalies, and propagation asymmetries. Qualifications • Active TS/SCI clearance preferred; applicants with prior SCI or SAP access given priority, • Ph.D. in Theoretical Physics, Plasma Physics, Quantum Electrodynamics, Field Theory OR Applied Electromagnetics. Postdoctoral research in advanced propulsion or vacuum physics strongly preferred, • Minimum 10 years of hands-on experience in one or more of the following: (1) High-voltage vacuum experimentation (sub-mTorr to UHV regimes) (2) Toroidal or polyphase field coil systems (multi-layer resonance tuning) (3) Photonic entanglement apparatus interfaced with magnetic field lattices, • Demonstrated mastery of: (1) Aharonov-Bohm phase control, (2) Electron spin precession nullification, (3) Plasmoid confinement techniques, and (4) Time-varying magnetic vector potentials (A-fields), • Familiarity with or formal training in: (1) Surreal number theory, dyadic symmetry, or JANUS vacuum models, (2) Vacuum birefringence and quantum optics in curved spacetime, (3) de Broglie–Bohm mechanics, particularly wavefunction coherence in phase-modified vacua, • Additional experience requirements: (1) High-speed pulsed power systems (ns-to-μs range), (2) AB-effect interferometry and coherence length diagnostics (λ²/2Δλ), (3) Computational modeling of exotic matter–field interactions using FDTD, COMSOL Multiphysics, or custom solvers Starting salary: $400,000 w/ sign-on bonus of $400,000 + Relocation Assistance via Stealth Real Estate Operations. To apply, send us a DM or apply on LinkedIn with a brief, discreet introduction and a redacted version of your work portfolio or white paper on related topics.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Applied Physics is seeking a seasoned strategist with extensive experience to lead our financial operations.

Job Description 🚗 Why us? Your car and your home are the two most expensive things you’ll ever own — and the hardest to manage. At Jerry.ai, we’re building the first super app to help everyday Americans take control of both. From insurance and financing to repairs and real estate, we’re reimagining what it means to own and maintain your car and home. This is a $5 trillion+ problem — and we’re the only company tackling it end to end. 2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history. And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article. 💻 About the opportunity We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! We have a fast-paced startup culture that empowers you to move quickly, test, iterate, and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. You’ll work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Meta, Amazon, ByteDance, Square, Robinhood and more. 🫵 How you will make an impact * Develop and architect complex machine learning models to address critical business challenges and drive company-wide strategic initiatives * Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance * Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks * Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems * Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry.ai 🚀 Requirements * PhD in Physics or related field * 5+ years of experience building and deploying models from scratch. * Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. * Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. * Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Job Description 🚗 Why us? Your car and your home are the two most expensive things you’ll ever own — and the hardest to manage. At Jerry.ai, we’re building the first super app to help everyday Americans take control of both. From insurance and financing to repairs and real estate, we’re reimagining what it means to own and maintain your car and home. This is a $5 trillion+ problem — and we’re the only company tackling it end to end. 2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history. And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article. 💻 About the opportunity We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! We have a fast-paced startup culture that empowers you to move quickly, test, iterate, and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. You’ll work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Meta, Amazon, ByteDance, Square, Robinhood and more. 🫵 How you will make an impact * Develop and architect complex machine learning models to address critical business challenges and drive company-wide strategic initiatives * Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance * Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks * Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems * Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry.ai 🚀 Requirements * PhD in Physics or related field * 5+ years of experience building and deploying models from scratch. * Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. * Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. * Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $180K - $240K

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: The Postdoctoral Research Fellow will focus on studying brain structure and functional connectivity at the forefront of computational neuroscience. The Fellow will work in close collaboration with internal and external partners to advance the modeling of whole-brain dynamics through the integration of microstructural brain data into large-scale simulations. You will work closely with an interdisciplinary team of neuroscientists, software developers, and data scientists to design, implement, validate, and disseminate open-source tools that integrate mesoscale neurotransmitter receptor maps into neural mass modeling simulation environment, and extend existing brain simulation tools to explore the biological underpinnings of functional. Reporting into the Director, Integrative Developmental Neuroscience, this is a full-time position on a hybrid schedule (minimum of 4 days per week in office). You Will: • Process and analyze large-scale fMRI, MRI, and DTI data from human and non-human primate datasets using high-performance computing infrastructures., • Design and conduct simulations of whole-brain activity using surface-based cortical meshes and brain atlases and validate simulation outputs against empirical fMRI data., • Implement Python code to integrate anatomic priors into existing NMM simulation software., • Prepare manuscripts for publication in peer-reviewed journals and assist with grant applications and data sharing with collaborators., • Provide guidance and support to junior research staff, including assistance with data analysis and professional development., • Help complete ongoing and future grant-funded projects, • Perform other job-related duties as assigned. You Have: • Ph.D. in neuroscience, biomedical engineering, computer science, physics, applied mathematics, or a related field., • Publication track record demonstrating ability to conduct independent research and work collaboratively within a multidisciplinary team; with at least 1 first author publication or multiple middle author publications with significant contribution to the project., • 3+ years experience in Python and scientific computing (e.g., Numpy, Scipy, Scikit-Learn), and the Git version control systems., • 3+ years experience of existing neuroimaging software packages (e.g., ANTs, FreeSurfer, AFNI, FSL) file formats (e.g., NIfTI, GIFTI, CIFTI)., • 3+ years of experience in neuroimaging research, including expertise with one or more imaging modalities such as fMRI, DTI, MRI, EEG, or MEG. #LI-hybrid Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job DescriptionCompany Description Crowell & Moring LLP is an international law firm with approximately 500 lawyers representing clients in litigation and arbitration, regulatory, and transactional matters. The firm is internationally recognized for its representation of Fortune 500 companies in high-stakes litigation, as well as its ongoing commitment to pro bono service and diversity. The firm has offices in Washington, D.C., New York, Los Angeles, San Francisco, Orange County, London, and Brussels. Job Summary Crowell & Moring LLP, a global Am Law 100 law firm, seeks a highly qualified Scientific Advisor – Patent Agent to join its Intellectual Property practice group, working from its New York, NY office. Patent Agents are integral members of the firm’s IP Practice who work on various aspects of the patent application process, work directly with attorneys in the firm, and are expected to communicate effectively and efficiently with attorneys, clients, and patent examiners. Job Responsibilities • Prepares and files official correspondence with the USPTO, including initial application filings, responses to Office Actions, and Information Disclosure Statements., • Drafts patent applications with clarity and technical accuracy, according to the substantive and budget parameters set for each project., • Communicates with attorneys, office staff, clients, and patent examiners to aid in the prosecution of an application., • Assists with technical issues in IP due diligence and litigation., • Maintains a docket of statutory USPTO and client due dates and satisfies all due dates in accordance with client instructions and firm docketing procedures., • Handles a majority prosecution docket while providing technical analysis and assistance in patent litigation and Patent Trial and Appeal Board proceedings.Qualifications Education • A technical degree in basic or applied sciences or engineering is required., • The position requires 5-10 years of patent prosecution experience, including writing samples., • Law firm experience is preferred., • Must possess detailed knowledge of USPTO filing requirements., • Independently motivated to succeed and measure success on a team level., • Demonstrated ability to communicate persuasively, both orally and in writing. Must possess a thorough command of the English language, including excellent spelling, grammar, and punctuation., • Ability to provide quality client service to both internal and external contacts. Requires patience, creativity, and discretion., • Demonstrated ability to organize and prioritize work in a dynamic and complex environment to meet deadlines and client and attorney needs., • Demonstrated ability to work effectively with others in a cooperative manner to accomplish position requirements., • Desire to assist in litigation and post-grant proceedings. Additional Information Crowell & Moring LLP offers a competitive compensation and comprehensive benefits package. Our benefits include healthcare, vision, dental, retirement, and all-purpose leave and progressive options such as back up childcare, wellness programs, cultural events and social activities. We take great pride in our positive, friendly culture that rewards hard work and success, at the same time recognizing the importance of family and community service. Our Firm is committed to fair and equitable compensation practice in accordance to applicable laws. The salary range for this position is $150,000 to $190,000. Additional compensation may include a discretionary bonus. Other benefits include healthcare, vision, dental, retirement, and all-purpose leave. The salary for this position may vary based on market data, an applicant’s skills and prior experience, certain degrees and certifications, and other factors. SEARCH FIRMS: submissions from search firms will NOT be accepted by email. To submit your candidate, apply through our applicant portal by clicking on the appropriate job posting title and then the "I'm interested" icon. Please fill out the application as if you were the candidate and include your email address in the profile. We will update on the backend. We do not have a separate portal for search firms. Candidate introductions and/or materials submitted for this position via email will not be recognized by Crowell & Moring as a formal candidate submission. An active and countersigned fee agreement is required to ensure proper communication and handling of all non-partner attorney candidates. Qualified candidates only. EOE m/f/d/v

Job Description Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields. Responsibilities: • Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed., • Implement, train, and validate proposed algorithms for specific problem domains., • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities., • Collaborate with others in a multidisciplinary team environment to accomplish research goals., • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory., • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings., • PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques., • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods)., • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++., • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe., • Proven ability to undertake original research and communicate findings in peer-reviewed publications., • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Applied Physics is seeking a highly motivated Senior Electro-Optical Engineer to join our team. The successful candidate will be responsible for leading the development, design, and testing of optical systems for space-based applications. The ideal candidate will have a Bachelor's degree in Optical Engineering, Physics, or a related field and 5 or more years of professional experience, a Master's degree and 3 or more years of experience, or a related PhD. Qualifications: • Bachelor's degree in Optical Engineering, Physics, or related field; or equivalent combination of education and experience, • Experience fabricating, designing, or fielding tactical or space-based optical systems and relevant performance parameters, • Experience with integration, test, characterization, and/or verification of optical systems, • Lead a small optical engineering team as the Certified Principal Engineer (CPE) for the build and test of prototype or high TRL optical sensor hardware, • Perform optical analysis to determine ability of designed optical systems to meet specifications, • Work with Systems Engineering to perform system level design and decomposition into optical system requirements, • Participate in studies and system trades for enhanced capabilities, • Lead development of materials for program technical reviews and present data throughout the product development and maturation processes, • Procure optical components to specification to meet performance goals, • Lead development of build documents, hardware assembly, integration, test planning, and test execution of optical systems, • Report progress periodically to program leadership and external customers and clients, • Support spacecraft integration within a program coordinating across multiple disciplines to ensure requirements verification, • Participate in failure investigations and anomaly resolution boards, • Work with Certified Principal Engineers (CPEs), Responsible System Engineers (RSEs), designers, and test engineers to ensure smooth integration at the system level We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Applied Physics is seeking a talented Electromechanical Engineer to join our team. As an Electromechanical Engineer at Applied Physics, you will work on a variety of exciting and challenging projects in fields ranging from energy storage to space exploration. Responsibilities: • Design and develop electromechanical systems from concept to production, • Conduct feasibility studies, simulations, and prototyping, • Collaborate with cross-functional teams to integrate electromechanical systems into larger products, • Develop and conduct tests and analyze data to ensure product reliability and performance, • Identify and troubleshoot problems during the product development phase, • Bachelor's or Master's degree in Electrical Engineering or a related field, • At least 3 years of experience in electromechanical design and development, • Proficient in CAD software such as SolidWorks, AutoCAD, or equivalent, • Familiarity with electrical and mechanical components such as motors, sensors, controllers, and actuators, • Strong problem-solving and analytical skills, • Experience with PCB design and assembly is a plus, • Experience with mechatronics or robotics is a plus, • Familiarity with international standards and regulations for electromechanical systems is a plus We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Undergraduate or Graduate degree in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering (Physics, Bioinformatics) - or equivalent program offering coursework manipulating large datasets;. Data Science Intern, NA Integrated Analytics (2026 Summer - New York). Data

The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for a limited-term Assistant Professor faculty position in the area of applied and computational mathematics. There is a strong cohort of activities on applied and com

The Department of Applied Physics and Applied Mathematics at Columbia University invites applications for an Associate Research Scientist position in theoretical condensed matter and materials physics, with an emphasis on the development of computational and analytical methods for strongly correlate

Job Description ABOUT THE NEW YORK ACADEMY OF SCIENCES The New York of Academy of Sciences is an independent, not-for-profit organization that since 1817 has been committed to advancing science for the benefit of society. With more than 20,000 Members in 100 countries, the Academy advances scientific and technical knowledge, addresses global challenges with science-based solutions, and sponsors a wide variety of educational initiatives at all levels for STEM and STEM related fields. The Academy hosts programs and publishes content in the life and physical sciences, the social sciences, nutrition, artificial intelligence, computer science, and sustainability. The Academy also provides professional and educational resources for researchers across all phases of their careers. Please visit us online at JOB TITLE: Program Manager, Physical Sciences DEPARTMENT: Awards REPORTS TO: Associate Director, Awards SUMMARY: The Program Manager will be responsible for various activities in support of the Academy’s award programs, including establishing and launching new award cycles, helping to raise award awareness among global audiences, assessing a broad range of nominations in your subject area, recruiting expert judges, explaining the honorees’ work to broad audiences through a variety of multimedia and social media platforms, designing scientific symposia to showcase honoree research, and maintaining a network of previous honorees that participate in annual symposia, awards ceremonies, and other events. You may also participate in the administration of other physical sciences–based programming at the Academy as needed, for example working with the Scientific Programs team on conferences in various areas of physical sciences. ESSENTIAL DUTIES: • Work with the Senior Leadership to identify, select, and establish ongoing relationships with an international cadre of judges, Scientific Advisory Council members, nominators, nominating institutions, and affiliated partners., • Review nominations in broad disciplinary areas of physical sciences; evaluating each application according to rigorous quantitative and qualitative metrics., • Serve as primary point of contact for judges in your topic area and programs; facilitate nominee/applicant evaluation and honoree selection by juries of expert scientists, conducted both online and in-person., • Coordinate the preparation of multimedia materials for broad audiences that explain the impact of the honorees’ complex scientific research., • Conceptualize and develop scientific programming for international and domestic symposia that showcase honoree research for scientific and lay audiences., • Work with the Academy’s Senior leadership team as well as various administrative and operations departments, affiliated partners, and other vendors as needed to develop and execute domestic and international award ceremonies and other program events., • Collaborate across Academy departments to identify potential opportunities for ongoing honoree engagement in additional Academy initiatives and publications., • Develop an understanding of the Academy, its mission, strategy, and programs., • Serve as an ambassador for the Awards program portfolio, and the Academy as a whole, through public inquiries and networking opportunities., • Keep abreast of scientific advances relevant to program subject areas., • Facilitate judging processes in your topic areas, including the rationale applied to all stages of honoree selection and the recruitment of judges, ensuring the highest ethical standards are applied to all aspects of the nominations and judging process., • Prepare and review multimedia materials that explain the complex scientific concepts and impact of the honorees’ award-winning research to broad audiences across various platforms, including program websites, social media platforms, brochures, magazine articles, and press releases, as well as in short films, scripted speeches, and slide presentations showcased at awards ceremonies, symposia, and related events., • Work with Awards team, external key opinion leaders, and program sponsors to develop content and program materials for symposia that showcase honorees; moderate scientific sessions and panel discussions as required., • Work with the Academy’s marketing team to identify relevant outlets for awards and event promotion., • Track the major scientific and career milestones achieved by honorees and help to promote them and their work through our social media channels and other outlets as appropriate., • Work with the senior Leadership, program administration partners, and sponsors to manage compliance, Sunshine Act, fiscal, and other reporting requirements., • Work with Senior leadership, other team members, and sponsors to continuously evaluate and strive to improve the awards processes and implementation., • Author grants and sponsorship proposals for program support from government agencies, private companies, medical education, foundations, and individuals., • Review applications and select individuals for Poster Presentations, Travel Fellowships, and Poster Prizes., • Write and review program and post-conference reports for supporters., • PhD required in an appropriate subject area of Physical Sciences, including but not limited to: Astrophysics; Atomic, Molecular & Optical Physics; Chemical Engineering; Condensed Matter Physics; Electrical Engineering; Materials Science; Mechanical Engineering; Particle Physics; Physical Earth Sciences; Theoretical Physics, • Professional experience outside of academic research. This may include activities pursued in parallel to a research career, for example outreach activities or committee service, or more formal professional experience working in scientific publishing, non-profit, etc., • Post-doctoral or related experience in academia, government, or industrial research, and/or science publishing a plus., • Outstanding oral and written communication skills., • Experience, ability, and comfort in dealing with complex scientific information beyond own area of expertise., • Experience with grant writing and program management a plus., • Experience in global academic ecosystems outside of the US a plus., • Ability to work with multiple teams across departments and to manage multiple parallel projects with tight deadlines. Hybrid scheduling may be available based on business needs and the essential functions of the role. There will be some requirement to be onsite at our Downtown Manhattan location. Onsite days will be dictated by management. The work will be performed using standard computer equipment. Employee must be comfortable using a large suite of applications and tools including calendar, email, virtual calling and video conferencing. This role is largely sedentary. ADDITIONAL WORK ENVIRONMENT/PHYSICAL DEMANDS: Travel: Some domestic and/or international travel (5%) may be required most likely to the United Kingdom, Israel, Japan, India and/or Europe. SUPERVISORY RESPONSIBILITY: None. COMPENSATION & BENEFITS: Salary: $75,000 annually This is Full-time, exempt position. In addition to salary, the Academy offers a comprehensive benefits package which includes affordable health insurance, retirement plan with matching employer contribution, personal & career development stipend as well as liberal paid time off policies. Equal Employment Opportunity Statement The New York Academy of Sciences is an Equal Opportunity Employer and is committed to compliance with all applicable federal, state, and local employment laws. We prohibit discrimination in all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, training, and termination, on the basis of any legally protected characteristic. This includes, but is not limited to, actual or perceived race, color, creed, religion, national origin, sex, gender identity or expression, sexual orientation, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by law. The Academy is also committed to making good faith efforts to recruit applicants from a wide range of backgrounds, experiences, and perspectives, including those historically underrepresented in the sciences Reasonable Accommodations The Academy is committed to providing reasonable accommodations to qualified individuals with disabilities and applicants with disabilities throughout the recruitment and employment process, in accordance with the Americans with Disabilities Act (ADA) and other applicable laws. If you need assistance or accommodations during the application or interview process, please contact Human Resources at Powered by JazzHR psXfC54sQj

Job Description Company Overview: With an annual budget of $2.3 billion and more than 7,000 employees throughout the five boroughs, the New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public health agencies in the world, serving 8 million New Yorkers from diverse ethnic and cultural backgrounds. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team. With grant funds from the Centers for Disease Control and Prevention (CDC), DOHMH is undertaking a new initiative that will meet critical infrastructure needs and make possible strategic investments that will have lasting effects on public health. Investments and improvements through this initiative will help modernize DOHMH’s foundational capabilities and data infrastructure, enabling it to partner in complex health and health care environments and, in turn, support better public health outcomes. This initiative supports larger efforts to rebalance investments in public health and more equitably serve communities and populations. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work will be supervised by DOHMH. This is a grant-funded position ending in November 2027. The Bureau of Division Management & Systems Coordination (DMSC), part of the Division of Disease Control (DDC), supports all other DDC bureaus with monitoring and analyzing trends in disease data, used for the recognition, prevention, and control of infectious diseases. Within DMSC, the Surveillance Unit coordinates with disease surveillance programs within DDC, the Division of Information Technology, and external partners to maintain and enhance existing surveillance system applications and implement new surveillance system applications to support complete, timely, and equitable case detection and health information exchange while ensuring data confidentiality, data quality, and compliance toward regulatory standards. DDC is in the process of replacing its current Electronic Disease Reporting Infrastructure (EDRI) in order to continue meeting these goals. Job Description: We are seeking to fill positions in the Division of Disease Control that will provide key support for DOHMH’s work of detecting, tracking, investigating, and preventing infectious diseases in New York City. Reporting to the Director of Electronic Case Reporting, this position will provide expert knowledge of Health Level 7 (HL7) standards used by healthcare facilities to report infectious disease cases to DOHMH and support the EDRI replacement project. It is expected that the position will work 35 hours per week. Duties: • Develop software solutions to capture, process, store, and perform quality assurance on data from incoming reports from Electronic Health Records (EHR), Regional Health Information Organizations (RHIO), Health Information Exchanges (HIEs), healthcare facilities, providers, and their office staff., • Apply technical and problem-solving skills and partner with agency stakeholders, the Division of IT and other staff within DDC to recommend and implement solutions for common issues and enhancements for EDRI, • Support projects that currently have or will have data flows into EDRI, including but not limited to electronic case reporting (eCR), electronic laboratory reporting, and the Citywide Immunization Registry., • Enhance and improve the production eCR system based on evolving city, state, and federal standards and requirements., • Provide subject matter expertise for relevant Clinical Document Architecture (CDA), Fast Healthcare Interoperability Resources (FHIR), United States Core Data for Interoperability (USCDI) standards, Java software development and related frameworks., • Update, support, and maintain DOHMH software applications used to capture case reports, • Respond to and resolve software security and unsupported software issues, to protect the confidentiality of patient information entrusted to DOHMH., • 5+ years of experience with SQL databases, • 5+ years of experience building Object oriented software in Java, Python, Scala, or R, • 5+ years of experience assuring security of sensitive data, • Experience with large volumes of data, • Strong organization and time management skills, • Good written and verbal communication skills, • Ability to work independently as well as part of a team, • Undergraduate degree or certificate in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, Public Health, or a similar field of study, • Advanced degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, Public Health, or a similar field of study, • 3+ years of experience with clinical messaging standards (i.e., HL7) and health-related coding systems (i.e., LOINC, ICD-10), • Experience with public health surveillance and health-related data, particularly disease reporting, • Experience with eCR, • R or Python, • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This is a temporary grant-funded position ending in November 2027., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday Remote 35 Hours Per Week