Associate scientist jobs in Albany, NY - 148 jobs

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. As a global leader in the energy domain, GE Vernova is a purpose-built energy technology company on a mission to electrify and decarbonize the world. Our Artificial Intelligence (AI) team at GE Vernova's Advanced Research Center is at the heart of this mission, developing and demonstrating innovative AI technologies to transform the future of energy. You can be a part of a highly skilled, dynamic and motivated team of AI Researchers, who are laying the groundwork for GE Vernova to succeed in its mission. As a Research Scientist specializing in AI for Knowledge Graph and Reasoning, you will design, develop, and apply innovative AI technologies to tackle complex challenges in the energy sector. You will combine techniques in knowledge representation, graph-based machine learning, logical reasoning, generative AI, and foundation models to create explainable and trustworthy AI solutions. Your work will span the entire research spectrum, from fundamental theoretical and empirical investigations to prototyping and solution development. You will investigate and apply techniques to integrate knowledge graphs with Large Language Models (LLMs) to improve explainability, long-term memory, contextual understanding, and reasoning capability for LLM-based solutions as well as to simplify construction and refinement of knowledge graphs to model complex industrial systems, assets, and processes. You will have the opportunity to work on diverse projects with applications in power generation, renewable energy, electric grids, robotics, manufacturing, and internal business processes by collaborating with a broad network of researchers across disciplines and domains. Additionally, you will contribute to cutting-edge research programs with external partners in academia and government, driving the advancement of AI research at GE Vernova and pushing the boundaries of human scientific understanding globally. Job Description Roles and Responsibilities * Research, conceptualize, and develop AI solutions for hard industrial problems by developing and leveraging state-of-the-art capabilities in knowledge representation, graph neural networks (GNNs), generative AI, knowledge graphs (KGs), and advanced reasoning algorithms. * Collaborate with teams of peer researchers on new and continuing projects * Demonstrate value of AI through early prototypes and solutions for real-world problems * Employ software libraries (e.g., NetworkX, PyTorch Geometric), graph databases (e.g., Neo4j), and industry best practices to build scalable and reusable solutions. * Create intellectual property by writing invention disclosures and filing patents * Publish impactful research in top-tier scientific journals and at relevant conferences * Contribute to writing and securing grant proposals for internal and external funding. Required Qualifications * PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence or MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a minimum of 2 years of work experience with a focus on Artificial Intelligence * Demonstrated proficiency in programming with Python. * Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like PyTorch, TensorFlow, etc. * Expertise in one or more of: (a) integrating LLMs in KG construction from structured and unstructured data, (b) using KG for automated reasoning with generative AI, and (c) creating knowledge graphs that federate and harmonize data from disparate sources. * Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Master's level for employment visas, now or in the future, for this job opening. * Because of the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran and Cuba). Please note that citizens of these countries who have either "U.S. person" status under U.S. export control laws or subsequent citizenship or permanent residency from a non-restricted country can be considered. * Must be willing to work out of an office located in Niskayuna, NY Desired Characteristics * PhD focused on new advancements in KG and generative AI. * Hands-on experience with KG technologies and graph databases (e.g., Neo4j). * Familiarity with KG development and its applications in context of industrial systems. * Familiarity with Model Context Protocol (MCP) to establish connection and retrieve knowledge or data. * Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DoE, ARPA-E, DoD, and DARPA * Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact. The base pay range for this position is 88,600.00 - 147,600.00 USD, Annually. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on January 05, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Imagine yourself… * Doing meaningful work that makes an everyday impact on the world around you. * Growing your expertise and expanding your skillset with every project. * Thriving in a supportive team environment that inspires you to strive for excellence. * Collaborating with a vibrant, diverse, global team. It's possible with a role at XOS (************* XOS, a Veralto company, is a leading manufacturer of application-specific X-ray analyzers. We offer best-in-class elemental analysis solutions that improve public safety and customer efficiency in industries like petroleum and environmental compliance. As part of the XOS team and the broader Veralto network, you'll work with products that make an everyday impact on vital resources we all rely upon: and along the way, you'll have opportunities to deepen your skills, invest in your development, and seek new ways to fuel your growth. We offer: * Flexible working hours * Professional onboarding and training options * Powerful team looking forward to working with you * Career coaching and development opportunities * Health benefits * 401(k) Position Summary Reporting to the Director, Research and Development, the R&D Scientist - X-ray Analytical Instrumentation is responsible for advancing innovative elemental analysis solutions using advanced x-ray optics, sources, and detectors. This role will work cross-functionally across multiple departments and with leaders throughout XOS, driving technology development and supporting new product initiatives. This position is part of the R&D team located in East Greenbush and will be onsite. In this role, a typical day will look like: * Provide expertise in analytical methods and problem-solving for XRF (X-Ray Fluorescence) analyzers. * Drive innovation to advance analytical capabilities in x-ray fluorescence through critical thinking and robust research disciplines. * Build technology funnels and create technology building blocks. * Provide technical guidance and support for new product development projects. * Contribute to technical solutions for bottleneck problems. * Collaborate with developers to design and develop efficient algorithms for spectral analysis. * Develop automated calibration processes and matrix correction algorithms. * Document technical work to disseminate knowledge. * Participate in other related activities as required. The essential requirements of the job include: * Master's degree required, PhD preferred, in Physics, Math, or Material Science disciplines. * Three years or more of research experience with demonstrated success in R&D or post-doc research. * Experience with spectral analysis in XRF or optical field. * Strong programming background with proficiency in C++ and Python. * Solid background in solid state physics, material characterization, and atomic physics. * Experience in mathematical fitting and computational modeling. * Proven ability to solve critical technical issues in R&D projects. * Experience leading technical developments in related projects. Desired Skills/Experience: * Analytical problem-solving skills, including structured root cause analysis and innovative solution development. * Strong math skills and foundation. * Experience in atomic spectroscopy, atomic physics, or XRF. * Self-starter and critical investigator adept at dealing with ambiguity. * Demonstrated ability to work on complex technical projects within a team. XOS is proud to be part of the Water Quality segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto's vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you'll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we're Safeguarding the World's Most Vital Resources-and building rewarding careers along the way. US ONLY: The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The compensation range for this role is $90,000 - $120,000 USD per year. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. US residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@veralto.com to request accommodation. Unsolicited Assistance We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

**Imagine** **yourself** **...** + Doingmeaningfulworkthatmakesaneverydayimpactontheworldaroundyou. + Growingyourexpertise and expandingyourskillsetwitheveryproject. + Thriving in a supportiveteamenvironmentthat inspires youtostriveforexcellence. + Collaboratingwith a vibrant, diverse, global team. It's possible with a role at XOS ( *********** ). **XOS** , a Veralto (************************* company, is a leading manufacturer of application-specific X-ray analyzers. We offer best-in-class elemental analysis solutions that improve public safety and customer efficiency in industries like petroleum and environmental compliance. As part of the XOS team and the broader Veralto network, you'll work with products that make an everyday impact on vital resources we all rely upon: and along the way, you'll have opportunities to deepen your skills, invest in your development, and seek new ways to fuel your growth. **We** **offer** **:** + Flexible workinghours + Professional onboarding and training options + Powerfulteamlooking forward toworkingwithyou + Career coaching and developmentopportunities + Healthbenefits + 401(k) **Position** **Summary** Reporting to the **Director** **,** **Research** **and** **Development** , the **R&D** **Scientist** **- X-** **ray** **Analytical** **Instrumentation** is responsible for advancing innovative elemental analysis solutions using advanced x-ray optics, sources, and detectors. This role will work cross-functionally across multiple departments and with leaders throughout XOS, driving technology development and supporting new product initiatives. This position is part of the R&D team located in East Greenbush and will be onsite. **In** **this** **role, a** **typical** **day** **will** **look** **like** **:** + Provideexpertise in analyticalmethods and problem-solvingfor XRF (X-Ray Fluorescence) analyzers. + Drive innovationtoadvanceanalyticalcapabilities in x-rayfluorescencethroughcriticalthinking and robustresearch disciplines. + Buildtechnologyfunnels and createtechnologybuilding blocks. + Providetechnicalguidance and supportfor new productdevelopmentprojects. + Contributetotechnicalsolutionsforbottleneckproblems. + Collaboratewithdeveloperstodesign and developefficientalgorithmsforspectralanalysis. + Developautomatedcalibrationprocesses and matrixcorrectionalgorithms. + Documenttechnicalworktodisseminateknowledge. + Participate in otherrelatedactivities as required. **The** **essential** **requirements** **of** **the** **job** **include** **:** + Master'sdegreerequired, PhD preferred, in Physics, Math,or Material Science disciplines. + Threeyearsor more ofresearchexperiencewithdemonstratedsuccess in R&D orpost-docresearch. + Experiencewithspectralanalysis in XRF oropticalfield. + Strongprogrammingbackgroundwithproficiency in C++ and Python. + Solid background in solidstatephysics, material characterization, and atomicphysics. + Experience in mathematicalfitting and computationalmodeling. + Provenabilitytosolvecriticaltechnicalissues in R&D projects. + Experienceleadingtechnicaldevelopments in relatedprojects. **Desired** **Skills** **/** **Experience** **:** + Analyticalproblem-solvingskills, includingstructuredroot cause analysis and innovative solutiondevelopment. + Strongmathskills and foundation. + Experience in atomicspectroscopy, atomicphysics, or XRF. + Self-starter and criticalinvestigatoradept at dealingwithambiguity. + Demonstratedabilitytoworkoncomplextechnicalprojectswithin a team. **XOS** **is** **proud** **to** **be** **part** **of** **the** **Water** **Quality** **segment** **of** **Veralto** **(NYSE: VLTO), a $5B global leader** **dedicated** **to** **ensuring** **access** **to** **clean** **water** **,** **safe** **food** **and medicine, and** **trusted** **essential** **goods** **.** **When** **you** **join** **Veralto's** **vibrant** **global** **network** **of** **16,000** **associates** **,** **you** **join** **a** **unique** **culture and** **work** **environment** **where** **purpose** **meets** **possibility** **:** **where** **the** **work** **you** **do has** **an** **everyday** **impact** **on** **the** **resources** **and** **essentials** **we** **all** **rely** **on** **, and** **where** **you'll** **have** **valuable** **opportunities** **to** **deepen** **your** **skillset** **,** **pursue** **your** **ambitions** **, and** **grow** **your** **career** **.** **Together** **,** **we're** **Safeguarding** **the** **World's** **Most** **Vital** **Resources** **-and** **building** **rewarding** **careers** **along** **the** **way** **.** **US ONLY** **:** The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The compensation range for this role is $90,000 - $120,000 USD per year. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. US residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available **here (********************************************* . We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@veralto.com to request accommodation. **Unsolicited Assistance** We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies (*************************************** , in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral. Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Research Scientist I; Analytical Development in Albany, NY Build your future at Curia, where our work has the power to save lives. The Analytical Department is responsible for supporting the manufacturing department and external customers. The routine functions of the laboratory are testing of raw materials, in-process, end product, and stability samples. The principal responsibility of the Research Scientist I is the analysis by multiple procedures of compounds. The Research Scientist I is expected to demonstrate proficiency in both the theoretical and practical aspects of analytical chemistry. Curia is a global contract development and manufacturing organization (CDMO) with over 30 years of experience partnering with pharmaceutical and biotech companies to provide life-saving treatments to patients. At Curia, we are on a mission to advance our customers' therapies from curiosity to cure and ultimately to improve patients' lives. We proudly offer + Generous benefit options (eligible first day of employment) + Paid training, vacation and holidays (vacation accrual begins on first day of employment) + Career advancement opportunities + Education reimbursement + 401K program with matching contributions + Learning platform + And more! Responsibilities + Analyze compounds using a range of analytical techniques + Develop solutions to routine technical problems of limited scope + Contribute to the completion of routine technical tasks + Interpret basic data sets and provide summaries + Conduct electronic searches for applicable methods and related procedures + Manage workload and time to perform multiple projects effectively, and ensure all necessary paperwork is completed on a timely basis + Conduct laboratory operations in a safe manner. Maintain familiarity with the Chemical Hygiene Plan. Follow responsible actions regarding chemical disposal. Maintain compliance with all regulations at the federal, state, and local levels + Exhibit safety awareness and safe work practices + Participate in self-development activities and training others Qualifications + Bachelor's degree in Chemistry or related field + Minimum 0-1 years' relevant experience Preferred + Master's degree in Chemistry or related field Other Qualifications + Must pass a background check + Must pass a drug screen + May be required to pass Occupational Health Screening Pay Range: $60,046/yr. Education, experience, location and tenure may be considered along with internal equity when job offers are extended. We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at Curia, in any form without a valid, signed search agreement by an authorized signatory in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Curia. No fee will be paid in the event the candidate is hired by Curia because of the unsolicited referral. All interested applicants must apply online. Please be aware of scammers. Curia will only send offer letters and requests for sensitive personal information from a curiaglobal.com email address. Curia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Curia is an E-Verify employer #LI-KD1

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers . If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post. Research Scientist I; Analytical Development in Albany, NY Build your future at Curia, where our work has the power to save lives. The Analytical Department is responsible for supporting the manufacturing department and external customers. The routine functions of the laboratory are testing of raw materials, in-process, end product, and stability samples. The principal responsibility of the Research Scientist I is the analysis by multiple procedures of compounds. The Research Scientist I is expected to demonstrate proficiency in both the theoretical and practical aspects of analytical chemistry. Curia is a global contract development and manufacturing organization (CDMO) with over 30 years of experience partnering with pharmaceutical and biotech companies to provide life-saving treatments to patients. At Curia, we are on a mission to advance our customers' therapies from curiosity to cure and ultimately to improve patients' lives. We proudly offer Generous benefit options (eligible first day of employment) Paid training, vacation and holidays (vacation accrual begins on first day of employment) Career advancement opportunities Education reimbursement 401K program with matching contributions Learning platform And more! Responsibilities Analyze compounds using a range of analytical techniques Develop solutions to routine technical problems of limited scope Contribute to the completion of routine technical tasks Interpret basic data sets and provide summaries Conduct electronic searches for applicable methods and related procedures Manage workload and time to perform multiple projects effectively, and ensure all necessary paperwork is completed on a timely basis Conduct laboratory operations in a safe manner. Maintain familiarity with the Chemical Hygiene Plan. Follow responsible actions regarding chemical disposal. Maintain compliance with all regulations at the federal, state, and local levels Exhibit safety awareness and safe work practices Participate in self-development activities and training others Additional Qualifications/Responsibilities Qualifications Bachelor's degree in Chemistry or related field Minimum 0-1 years' relevant experience Preferred Master's degree in Chemistry or related field Other Qualifications Must pass a background check Must pass a drug screen May be required to pass Occupational Health Screening Pay Range: $60,046/yr.

The statements below reflect the general responsibilities and requirements for the position, but may not describe all the work requirements inherent in the job. It is the responsibility of the employee to comply with Good Laboratory Practices, ISO\/IEC 17025 and other state mandated certifications. Nova Analytic Labs is seeking a highly motivated entry level scientist to join our cannabis testing laboratory. Our first laboratory location was in Portland, ME and we are now expanding to NY. ​ The testing Nova Analytic Labs will perform is critical to the health and safety of recreational and medicinal cannabis and hemp products. Nova Analytic Labs will provide the highest quality and safety in testing to the community by combining advanced technology and innovative scientific methods. As a startup, we are particularly interested in individuals with well\-rounded capabilities and an eager appetite to grow and build a successful enterprise. This is an mid\-entry level job opportunity to assist with daily lab tasks, sample pickup, sample receipt, and testing. On the job training will be provided and the opportunity to grow into more experienced roles is highly encouraged. The ideal candidate will have a scientific background and an eye for continuous improvement. Flexibility and dedication are a must. The Lab Technologist I and Lab Scientist I work directly under Lab Manager and ensures all samples are received, extracted, analyzed and reported in compliance with company policies and procedures. Other duties may be assigned as necessary. After a probationary period this position may move to 4 ten hour shifts per week instead of 5 eight hour shifts. Duties and Responsibilities Responsible for day to day pickup, receipt and analysis of samples Responsible for solution prep and tracking Responsible for maintaining equipment logs and maintenance Perform extractions and prepare samples for analysis on LC\/MS, GC\/MS and ICP\/MS Responsible for data entry of samples in the lab Responsible for understanding and following all necessary SOPs Produce quality, mistake\-free work in the lab Ensures resolution of errors before results are released to clients Continuously seeks out new and better ideas, driving best practices Ensure samples are received, requisitioned and extracted in a manner that is compliant with SOPs Other duties as assigned by management Requirements Hold a bachelor degree in a science related field OR at least 2 years of college course work and 1 year of experience in a high complexity laboratory, food testing lab, or environmental testing lab. Benefits Medical Dental Vision PTO "}}],"is Mobile":false,"iframe":"true","job Type":"Full time","apply Name":"Apply Now","zsoid":"658476418","FontFamily":"Verdana, Geneva, sans\-serif","job OtherDetails":[{"field Label":"Industry","uitype":2,"value":"Cannabis Testing"},{"field Label":"Work Experience","uitype":2,"value":"Fresher"},{"field Label":"Salary","uitype":1,"value":"$24\-$29\/hr +"},{"field Label":"City","uitype":1,"value":"Albany"},{"field Label":"State\/Province","uitype":1,"value":"New York"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"12201"}],"header Name":"Lab Scientist","widget Id":"**********00072311","is JobBoard":"false","user Id":"**********00217001","attach Arr":[],"custom Template":"3","is CandidateLoginEnabled":false,"job Id":"**********18137099","FontSize":"12","google IndexUrl":"https:\/\/nova\-analyticlabs.zohorecruit.com\/recruit\/ViewJob.na?digest=hy RQVBoMJAbuDRSyhPCH48ozzyv5iwTwmlmjNQhFtDM\-&embedsource=Google","location":"Albany","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do","logo Id":"keztafeaadcb89cb34a278aa494453c4c0a8d"}

Join GE Aerospace Research and change the world! Our teams push the boundaries of Artificial Intelligence and Computer Vision to solve the hardest problems in aerospace-today and for the generations to come. We explore new frontiers in autonomy, perception, and learning to power safer, cleaner, and more capable aerospace systems. Our work spans the spectrum: advancing sustainable aviation, charting pathways for widespread beyond-atmosphere exploration, and strengthening national security with innovative, mission-ready technologies. As a Research Scientist - AI, you will: * Design experiments that probe the limits of what's possible in learning systems for real problems -and learn fast from the results * Build, analyze, and refine AI/CV algorithms inspired by both theory and data * Prototype novel systems that move from simulation to lab to flight-relevant environments * Translate fundamental discoveries into scalable tools used across design, manufacturing, testing, operations, reliability, and lifecycle management You'll collaborate with a diverse cohort of scientists and engineers across disciplines and GE Aerospace business units, tackling complex AI challenges from physics discovery to understandability, uncertainty management to edge environments. You'll also contribute to government-sponsored research with world-class partners in academia and federal agencies-work that shapes the field and accelerates the Future of Flight. Our work here emphasizes open-ended questions, rigorous experimentation, and building solutions that matter, looking out beyond what is done today. This role puts you at the edge of that discovery. Help define what AI and Computer Vision can do for aerospace-and expand the frontiers of human understanding along the way. Job Description Essential Responsibilities: * Work within teams of researchers on new and continuing projects * Develop software solutions for the application of Artificial Intelligence to aerospace programs, ultimately impacting the product and service offerings of GE Aerospace as well as its internal tools and practices * Implement and analyze prototypes and solutions for real-world problems * Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions * Collaborate with GE Aerospace's other AI / CV experts to define and pursue strategic advancement of new technologies * Publish novel findings in scientific workshops, conferences, and journals * Create intellectual property by writing invention disclosures and filing patents * Develop in technical and leadership skills in preparation for future work as a Lead Scientist Qualifications/Requirements: * MS + 2 years experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision * Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems * Candidate must be willing to travel a minimum of 2 weeks per year * Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. * You must submit your application for employment on the careers page at ******************************************* to be considered Ideal Candidate Characteristics: * Ph.D. focusing on new advancements in Artificial Intelligence, Machine Learning, and/or Computer Vision * Deep expertise in one or more of: Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal Inference * Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DARPA, ARL, AFRL, and ONR * Ability to obtain Secret (or higher) US Government clearance * Post-doctoral or industrial experience inventing and developing new AI / CV technologies * Extensive publications in peer-reviewed journals and conferences in Computer Vision, Artificial Intelligence, and/or relevant application fields * Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact * Willing to relocate to work out of an office located in Niskayuna, NY The base pay range for this position is 80,000 - 150,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary. This posting is expected to close on March 7, 2026 Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. #LI-MV1 This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

COMPANY Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN), a unique vulnerability in cancer. Since its founding in 2019, Volastra has grown to support ongoing discovery efforts and a growing clinical organization. Our lead pipeline programs focus on two distinct inhibitors of KIF18A, a novel therapeutic target. VLS-1488, internally discovered, entered clinical trials in Q4 2023 for the treatment of advanced cancers. Sovilnesib, in-licensed from Amgen in 2023, re-entered the clinic in Q2 2024. Both assets have been granted Fast-Track Designation by the FDA. Volastra is also developing new techniques to understand the biology of chromosomal instability and leveraging these insights to drive forward a preclinical pipeline of therapies against innovative targets. Volastra is backed by top US and European venture firms such as Arch, Polaris, Vida, Droia, Catalio, and B Capital, alongside strategic investment from Eli Lilly. In addition to venture funding, Volastra has established partnerships with oncology leaders. Our senior leadership team is highly experienced, supported by a world-class advisory board. We are headquartered in West Harlem, New York City, within easy reach of Columbia, Cornell, Memorial Sloan Kettering, and surrounding areas. Please visit ****************** for more information. JOB DESCRIPTION: The role of Scientist of Discovery Science will report to the Senior Scientist/Senior Lab Manager in close collaboration with the Chief Scientific Officer and the rest of the Discovery Team, and work towards the successful execution of preclinical development programs. As a scientist, you will play a central role in turning foundational CIN biology into new medicines. You will design, execute, and interpret rigorous experiments that validate targets, elucidate mechanism of action, and accelerate progression from hit/lead to in vivo proof‑of‑concept. This is a bench‑forward position for a creative, self‑directed experimentalist who thrives in a fast‑moving biotech setting and loves collaborating across chemistry, biochemistry, DMPK, in vivo pharmacology, and computational biology. Volastra is a fast-paced biotech company of passionate employees, and there is ample opportunity for the ideal candidate to grow and develop with the organization. Individuals will have, from time to time, the opportunity to gain experience with projects outside their direct scope of work. Job is based in NYC and requires a minimum of 80% in office time. RESPONSIBILITIES: • Participate in key discovery workstreams from target validation through early pharmacology; design clear, decision‑driving experimental plans and timelines. • Interrogate mechanism using genetic perturbation (e.g. CRISPR/Cas9, RNAi), rescue, pathway mapping, and combination studies aligned with CIN biology. • Develop and optimize cellular assays to quantify phenotype and mechanism. • Build translationally relevant target‑engagement and PD assays to enable SAR and inform dose/PK-PD modeling for in vivo studies. • Track record of successfully managing external projects with CRO's from scoping to final data delivery • Work effectively with colleagues across the team to participate in adjacent discovery-related efforts • Provide clear updates to Discovery, Preclinical, and Leadership; write technical reports, support patent filings, and prepare data packages for milestones. REQUIREMENTS: • PhD in Molecular/Cell Biology, Biochemistry, Cancer Biology, Pharmacology or related field (or MS/BS with commensurate depth of industry experience). • 5+ years of hands-on lab experience with a range of relevant research techniques including cell-based assays and molecular biology. In vivo mouse experience is strongly preferred • Understanding of the drug development process from target identification to marketing authorization is strongly encouraged • Excellent communication, organizational, and problem-solving skills • Ability to collaborate well with team members PREFERRED EXPERIENCE: • Direct experience in CIN‑relevant biology (mitosis, microtubules/kinetochore function, replication stress, DNA‑damage response) or image‑based phenotyping • In vivo oncology familiarity (xenograft/PDX syngeneic models), PK/PD thinking, and translational biomarker awareness for discovery‑to‑development continuity. Salary Range: Approximately $130,000 - $150,000 which may vary depending on qualifications, experience, and ultimate leveling. Leveling outside of that stated may be considered for exceptional candidates on a case-by-case basis.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. You will: Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments). Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution. Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes. Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally. Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent. Stay deeply connected to the research community, understanding major trends, and helping set them. Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results. Ideally you'd have: 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains. A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.). Experience and track of recording in landing major research impacts in a fast-paced environment Experience leading or managing research teams. You're excited to mentor, coach and develop talent. Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$239,400-$299,300 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business. Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles. Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements. Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience Added Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) Proficient programming skills (eg: Python, C/C++) Strong analytical and debugging skills 5+ years of experience in Machine Learning modeling and/or Autonomous Vehicles We prefer: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field. Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP. Prior software development or ML research industry experience (including internships). General software engineering experience solving motion planning or related robotics problems. Experience applying or evaluating ML-based systems in production environments. Experience with performance optimization of deep models, including with respect to specific hardware architectures #LI-Hybrid Our benefits are held Alphabet-Wide, inclusive of incredible maternity leave, health care, and retirement planning. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000-$259,000 USD

Job Title: Research Scientist Edgestream Partners is a tight-knit team of mathematicians, scientists, engineers, and business professionals who devote our talents to developing quantitative models of financial markets and using them to trade our systematic hedge funds around the world and around the clock - and have done this continuously since 2003. We value curiosity, creativity, diligence, tenacity, intellectual honesty, clear thought and communication, attention to detail, and the ability to effectively collaborate. At Edgestream an individual dedicated effort can have a major impact. About the Job The Research group at Edgestream consists of highly skilled mathematicians, scientists, and engineers, working together to unravel some of finance's hardest problems. We create the models of market behavior that drive all trading in our funds. Our work involves creation and application of techniques from probability and statistics, machine learning, information theory, optimization, and algorithms, to better understand the behavior of markets and direct our trading. We also work together to continuously enhance the platform that the research group uses for discovery, evaluation, and implementation. The applicant may choose to work primarily from either Princeton, NJ or New York, NY. Qualifications: PhD in a mathematical, scientific, or engineering discipline At least one subsequent academic or industrial/government research appointment Evidence of distinction and impact (publications or impactful results in industry) Exposure to programming, numerical computation, and ideally data analysis and a keen interest in further developing your skills in these areas No knowledge of finance is required Some of the benefits of working at Edgestream: Competitive initial salary, bonus - and an opportunity for further long-term substantial financial rewards An opportunity to see your work appreciated and have tangible impact A talented group of colleagues to work with who share a common objective and therefore have a real interest in your success Comprehensive benefits (including medical and dental insurance, 401(k), HRA, FSA, life insurance, and daily catered lunch that encourages relationship-building and communication). Contact Info For questions, please contact ************************. Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Base salary range: $175k-$215k.

ANNOUNCEMENT Research Scientist III Salary Grade 25: $88,938 - $101,067 The Research Foundation for Mental Hygiene, Inc. is seeking a qualified candidate to fill the full-time position of Research Scientist III in the New York State Office of Addiction Services and Supports (OASAS), Division of Planning, Research, Information Management, and Evaluation (PRIME) in response to the continuing overdose crisis. OASAS is calling for new approaches that embrace person-centered care, evidence-based practices, equitable treatment, and harm reduction principles. OASAS envisions a revised treatment system that better retains clients in treatment, mitigates adverse healthcare events, and reduces deaths. To this end, OASAS is embarking on a new collaboration with New York University (NYU) on a National Institutes of Health (NIH) grant to support the transformation of the data architecture and reporting across the OASAS system of care. This Research Scientist III will be responsible for working closely with PRIME leadership in employing data science approaches, techniques, and methods to develop substance use and use disorder measures that reflect agency wide needs in reporting and evaluation. A successful candidate thrives in a highly collaborative, diverse cross-team work environment; has experience in data systems management and process improvement; demonstrates adaptability with the capacity to handle multiple demands and changes in a dynamic fast-paced environment; and has strong organizational, writing, and oral communication skills. Responsibilities include but are not limited to: Lead a research team within the OASAS Division of Planning, Research, Information Management, and Evaluation (PRIME) and collaborate with the New York University (NYU) research team. Collaborate with PRIME leadership, responsible for institutional clinical research priorities, goals and key performance indicators. Utilize advanced research methods, identify gaps between recommended performance measures and existing data collection methods. Develop and implement innovative solutions to bridge these gaps and ensure robust data collection for research and evaluation purposes. Oversee independently the preparation documents related to research activities, including study protocols, progress reports, and briefs to OASAS staff on data system development milestones. Interface with cross-agency staff to define objectives and identify best practices. Facilitate relationships with providers, community representatives, and other stakeholders contributing to data collection and database management. Perform other related duties & responsibilities as assigned/requested. Minimum Qualifications: A Bachelor's degree from an accredited college or university in a relevant social science and four years research, evaluation, or data management experience; OR A Master's degree or J.D. from an accredited college or university in a relevant social science and a minimum of three years of research, evaluation, or data management experience; OR A Ph.D. from an accredited college or university in a relevant social science and a minimum of two years of research, evaluation, or data management experience. Two years of experience in organizing, managing, and analyzing quantitative data using descriptive statistics evidenced One year of experience of supervising Preferred Qualifications: Demonstrate experience conducting program evaluations from start to finish is required, including samples of final products/reports. Expertise in the use of SAS, R or SQL. Experience working in culturally diverse communities is an asset. Experience in substance use epidemiology and substance use disorder treatment modalities is an asset. Expertise in the use of Microsoft Excel, Word, and Power Point. Able to calculate, interpret and communicate statistics from data systems and provide findings in a variety of formats to both technical and general audiences. Able to understand, interpret, and critique empirical findings. Able to learn more advanced data skills independently and as needed for data projects. Location: 1450 Western Avenue, Albany, NY 12203 To Apply: Submit an application through our website at *********************************** . Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.

SummaryAs a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. As a global leader in the energy domain, GE Vernova is a purpose-built energy technology company on a mission to electrify and decarbonize the world. Our Artificial Intelligence (AI) team at GE Vernova's Advanced Research Center is at the heart of this mission, developing and demonstrating innovative AI technologies to transform the future of energy. You can be a part of a highly skilled, dynamic and motivated team of AI Researchers, who are laying the groundwork for GE Vernova to succeed in its mission. As a Research Scientist, you will design, develop, and apply innovative AI technologies, including large scale time-series and scientific foundation models, to tackle complex challenges in the energy sector. Your work will leverage time-series, tabular, image, text, video, and/or scientific simulation data along with domain knowledge to create single- or multi-modality foundation models to unlock new capabilities in design, discovery, decision support, and autonomy. Your work will span the entire research spectrum, from fundamental theoretical and empirical investigations to prototyping novel solutions in industrial setting. You will have the opportunity to work on diverse application domains, including power generation, renewable energy, decarbonization, electric grids, robotics, and manufacturing, in collaboration with GE Vernova's business units and a broad network of researchers across disciplines. Additionally, you will contribute to cutting-edge research programs with external partners in academia and government, driving the advancement of AI research at GE Vernova and pushing the boundaries of human scientific understanding globally.Job Description Roles and Responsibilities Research, conceptualize, and develop AI solutions for hard industrial problems Design, develop, train, fine-tune, and/or distill state-of-the-art foundation models Collaborate with team of researchers on new and continuing projects Demonstrate value of AI through prototypes and solutions for real-world problems Develop and employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions Create intellectual property by writing invention disclosures and filing patents Publish research work to scientific conferences and journals Writing and/or supporting grant proposals Required Qualifications PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence Demonstrated ability to write Python code and familiarity with AI packages and frameworks like PyTorch, HuggingFace, etc. Deep expertise in one or more of: Multi-Modal Foundation Models, Time-Series Foundation Models, and Scientific Machine Learning with Physics. Legal authorization to work in the US is required. We will not sponsor individuals at the Master's level for employment visas, now or in the future, for this job opening. Because of the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran and Cuba). Please note that citizens of these countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship or permanent residency from a non-restricted country can be considered. Must be willing to work out of an office located in Niskayuna, NY Desired Characteristics Ph.D. focusing on new advancements in Artificial Intelligence Experience in Foundation Models with one or more modalities: image, time-series, tabular data, video, and/or text. Experience in writing grant proposals and participating in the execution of grant-supported research with government agencies such as DoE, ARPA-E, DoD, and DARPA The base pay range for this position is $88,600-$147,600 USD. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. This position is also eligible for a performance bonus. This position will be posted until at least 9/5/2025. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on January 05, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

SummaryJoin GE Aerospace Research and change the world! Our teams push the boundaries of Artificial Intelligence and Computer Vision to solve the hardest problems in aerospace-today and for the generations to come. We explore new frontiers in autonomy, perception, and learning to power safer, cleaner, and more capable aerospace systems. Our work spans the spectrum: advancing sustainable aviation, charting pathways for widespread beyond-atmosphere exploration, and strengthening national security with innovative, mission-ready technologies. As a Research Scientist - AI, you will: • Design experiments that probe the limits of what's possible in learning systems for real problems -and learn fast from the results • Build, analyze, and refine AI/CV algorithms inspired by both theory and data • Prototype novel systems that move from simulation to lab to flight-relevant environments • Translate fundamental discoveries into scalable tools used across design, manufacturing, testing, operations, reliability, and lifecycle management You'll collaborate with a diverse cohort of scientists and engineers across disciplines and GE Aerospace business units, tackling complex AI challenges from physics discovery to understandability, uncertainty management to edge environments. You'll also contribute to government-sponsored research with world-class partners in academia and federal agencies-work that shapes the field and accelerates the Future of Flight. Our work here emphasizes open-ended questions, rigorous experimentation, and building solutions that matter, looking out beyond what is done today. This role puts you at the edge of that discovery. Help define what AI and Computer Vision can do for aerospace-and expand the frontiers of human understanding along the way.Job Description Essential Responsibilities: Work within teams of researchers on new and continuing projects Develop software solutions for the application of Artificial Intelligence to aerospace programs, ultimately impacting the product and service offerings of GE Aerospace as well as its internal tools and practices Implement and analyze prototypes and solutions for real-world problems Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions Collaborate with GE Aerospace's other AI / CV experts to define and pursue strategic advancement of new technologies Publish novel findings in scientific workshops, conferences, and journals Create intellectual property by writing invention disclosures and filing patents Develop in technical and leadership skills in preparation for future work as a Lead Scientist Qualifications/Requirements: MS + 2 years experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems Candidate must be willing to travel a minimum of 2 weeks per year Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. You must submit your application for employment on the careers page at ******************************************* to be considered Ideal Candidate Characteristics: Ph.D. focusing on new advancements in Artificial Intelligence, Machine Learning, and/or Computer Vision Deep expertise in one or more of: Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal Inference Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DARPA, ARL, AFRL, and ONR Ability to obtain Secret (or higher) US Government clearance Post-doctoral or industrial experience inventing and developing new AI / CV technologies Extensive publications in peer-reviewed journals and conferences in Computer Vision, Artificial Intelligence, and/or relevant application fields Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact Willing to relocate to work out of an office located in Niskayuna, NY The base pay range for this position is 80,000 - 150,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary. This posting is expected to close on March 7, 2026 Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. #LI-MV1 This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you'd have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Job Title: Experienced Alpha Research Scientist Edgestream Partners is a tight-knit team of scientists, engineers, and business professionals who devote our talents to developing quantitative models of financial markets and using them to trade systematically around the world and around the clock. Edgestream's culture has more in common with research laboratories and technology startups than with traditional finance. We prize curiosity, creativity, diligence, and intellectual honesty. We focus on the long term, working together to build elegant and general systems that endure and scale as we grow. And we incentivize our employees to cooperate and share ideas, because we know that compounding our efforts magnifies our achievements. The result is a company where smart, dedicated effort can have a major impact. We've been in the business of managing hedge funds since 2003, and we're still growing. We're looking for talented, curious, and driven people who can grow with us in the years ahead. About the Job The Research group at Edgestream consists of highly skilled scientists and engineers, working in collaboration to unravel some of the finance's hardest problems. Our ranks include physicists, mathematicians, biologists, machine learning experts, cryptographers, and theoretical computer scientists. We are responsible for the creation of the scientific models of market behavior which drive trading in our funds. Our investment process is fully research driven, and new members of our team quickly find that they have the opportunity to contribute directly to the company's bottom line. Our work covers the full spectrum from basic research in statistics, information theory, and algorithms, to investigating new datasets, to building out our research platform, to implementation and analysis of live trading systems. This position will be located in either Princeton, NJ or New York, NY. Qualifications: PhD in a scientific or engineering discipline (or equivalent experience). Track record of high achievement in scientific research. Strong analytical and mathematical abilities. Comfort with large data and programming. No knowledge of finance is required. Some of the benefits of working at Edgestream: Competitive salary, bonus, and incentive compensation based on overall company performance. Fantastic resources, accumulated over decades, for turning ideas into reality. Comprehensive, first-class benefits (including excellent medical and dental insurance, 401(k), HRA, FSA, life insurance, daily catered lunch, and an onsite gym). For qualified employees, the opportunity to invest in our funds. Contact Info E-mail: ************************. Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. As a global leader in the energy domain, GE Vernova is a purpose-built energy technology company on a mission to electrify and decarbonize the world. Our Artificial Intelligence (AI) team at GE Vernova's Advanced Research Center is at the heart of this mission, developing and demonstrating innovative AI technologies to transform the future of energy. You can be a part of a highly skilled, dynamic and motivated team of AI Researchers, who are laying the groundwork for GE Vernova to succeed in its mission. As a Research Scientist, you will design, develop, and apply innovative AI technologies, including machine learning, deep learning, generative AI, and foundation models, to tackle complex challenges in the energy sector. Your work will span the entire research spectrum, from fundamental theoretical and empirical investigations to prototyping and solution development. You will have the opportunity to work on diverse projects, including power generation, renewable energy, electric grids, robotics, and manufacturing, in collaboration with GE Vernova's business units and a broad network of Researchers across disciplines and domains. Additionally, you will contribute to cutting-edge research programs with external partners in academia and government, driving the advancement of AI research at GE Vernova and pushing the boundaries of human scientific understanding globally. Job Description Roles and Responsibilities * Research, conceptualize, and develop AI solutions for hard industrial problems * Collaborate with teams of peer Researchers on new and continuing projects * Demonstrate value of AI through early prototypes and solutions for real-world problems * Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions * Create intellectual property by writing invention disclosures and filing patents * Publish research work to scientific journals and conferences * Writing and/or supporting grant proposals Required Qualifications * PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence or MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a minimum of 2 years of work experience with a focus on Artificial Intelligence * Demonstrated ability to write Python code * Familiarity with AI, ML, and GenAI packages and frameworks like PyTorch, TensorFlow, HuggingFace, and more * Deep expertise in one or more of: Large Language Models (LLM), Time-series or Multi-Modal Foundation Models, Scientific Machine Learning with Physics, Graph Neural Networks. * Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening. * Because of the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran and Cuba). Please note that citizens of these countries who have either "U.S. person" status under U.S. export control laws or subsequent citizenship or permanent residency from a non-restricted country can be considered. * Must be willing to work out of an office located in Niskayuna, NY Desired Characteristics * PhD focussed on new advancements in Artificial Intelligence * Experience in one or more of: Multi-Modal Foundation Models with image, tabular data, and text, Integrating Physics in Machine Learning, Graph Neural Networks for Energy Systems, and Integrating LLM with knowledge graphs. * Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DoE, ARPA-E, DoD, and DARPA * Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact. The base pay range for this position is $88,600-$147,600 USD. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. This position is also eligible for a performance bonus. This position will be posted until at least 7/28/2025. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on January 05, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Title: Research Scientist I Grade: 18 Salary: $61,811.00 - $70,591.00 The Research Foundation for Mental Hygiene, Inc. is seeking a qualified candidate to fill a full-time Research Scientist I position in the Office of the Chief Medical Director, Office of Population Health & Evaluation, Population Health Interventions. The portfolio of the Bureau includes analytic support of the PSYCKES application, PSYCKES project interventions, Crisis System Monitoring, and State Operated Psychiatric Center monitoring and reporting. Current PSYCKES Projects include the Hospital Connections Project, High Risk Quality Collaborative in Emergency Departments, Opioid Use Disorder Treatment, Use of Medication Assisted Treatment (MAT) for Opioid Use disorder, and Engagement of High-Risk Clients in Mental Health Clinics. Selected grants projects are also managed in this bureau. Duties and Responsibilities: * Work with large administrative data, perform data extraction, data cleaning and merging with other data sources to create analytical file using statistical software such as SAS and SQL. * Conduct/Support analysis on assessing quality of mental health and physical health using New York State Medicaid data, and other datasets with SAS/SQL. * Conduct analytical support on selected grant project. * Create reports using visualization software such as Tableau, SAS Viya to monitor trend * Participate as a member of the Bureau of Population Health Interventions Data Analytic Workgroup. * Conduct data analysis to support PSYCKES application in updating service settings, adding quality indicators/flags, monthly indicator run, and monthly application QA. * Provide ADHOC reports as needed. Minimum Qualifications: * Bachelor's degree and two years of professional research experience in an appropriate field, or a master's degree in the appropriate field and one year of professional research experience in that field. * Appropriate fields include Psychology, Sociology, Mathematics/Statistics, Public Health, Epidemiology, Economics, Biostatistics, or a related social science field. Preferred Qualifications: * Experience with NYS OMH Medicaid data or other large state or federal databases. * Expertise in using SAS and/or SQL. * Expertise in sophisticated data modeling techniques. * Experience with mental health populations and providers. * Knowledge of psychotropic medications. * Experience presenting to both scientific and lay audiences. * Experience in developing federally funded grants. Work Location: 150 Broadway Menands, NY 12204 To Apply: Submit an application through our website at ************************************ Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.

Join GE Aerospace Research and change the world! Our teams push the boundaries of Artificial Intelligence and Computer Vision to solve the hardest problems in aerospace-today and for the generations to come. We explore new frontiers in autonomy, perception, and learning to power safer, cleaner, and more capable aerospace systems. Our work spans the spectrum: advancing sustainable aviation, charting pathways for widespread beyond-atmosphere exploration, and strengthening national security with innovative, mission-ready technologies. As a Research Scientist - AI, you will: - Design experiments that probe the limits of what's possible in learning systems for real problems -and learn fast from the results - Build, analyze, and refine AI/CV algorithms inspired by both theory and data - Prototype novel systems that move from simulation to lab to flight-relevant environments - Translate fundamental discoveries into scalable tools used across design, manufacturing, testing, operations, reliability, and lifecycle management You'll collaborate with a diverse cohort of scientists and engineers across disciplines and GE Aerospace business units, tackling complex AI challenges from physics discovery to understandability, uncertainty management to edge environments. You'll also contribute to government-sponsored research with world-class partners in academia and federal agencies-work that shapes the field and accelerates the Future of Flight. Our work here emphasizes open-ended questions, rigorous experimentation, and building solutions that matter, looking out beyond what is done today. This role puts you at the edge of that discovery. Help define what AI and Computer Vision can do for aerospace-and expand the frontiers of human understanding along the way. **Job Description** **Essential Responsibilities:** + Work within teams of researchers on new and continuing projects + Develop software solutions for the application of Artificial Intelligence to aerospace programs, ultimately impacting the product and service offerings of GE Aerospace as well as its internal tools and practices + Implement and analyze prototypes and solutions for real-world problems + Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions + Collaborate with GE Aerospace's other AI / CV experts to define and pursue strategic advancement of new technologies + Publish novel findings in scientific workshops, conferences, and journals + Create intellectual property by writing invention disclosures and filing patents + Develop in technical and leadership skills in preparation for future work as a Lead Scientist Qualifications/Requirements: + MS + 2 years experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision + Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems + Candidate must be willing to travel a minimum of 2 weeks per year + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. + You must submit your application for employment on the careers page at ******************************************* to be considered Ideal Candidate Characteristics: + Ph.D. focusing on new advancements in Artificial Intelligence, Machine Learning, and/or Computer Vision + Deep expertise in one or more of: Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal Inference + Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DARPA, ARL, AFRL, and ONR + Ability to obtain Secret (or higher) US Government clearance + Post-doctoral or industrial experience inventing and developing new AI / CV technologies + Extensive publications in peer-reviewed journals and conferences in Computer Vision, Artificial Intelligence, and/or relevant application fields + Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact + Willing to relocate to work out of an office located in Niskayuna, NY The base pay range for this position is 80,000 - 150,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary. This posting is expected to close on March 7, 2026 Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. \#LI-MV1 _This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))._ **Additional Information** GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (****************************************************************************************** . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** Yes GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.