Research scientist jobs in Albany, NY

SummaryAs a Research Scientist in the Magnetic Resonance team at GE HealthCare's Technology and Innovation Center (R&D), you will develop new MRI systems platforms, imaging techniques and/ or algorithms for diagnostic, functional and interventional imaging. You will perform research in an interdisciplinary team to push the envelope of what MRI can do in the clinic and beyond.Job Description Roles and Responsibilities As a Magnetic Resonance Research Scientist, you will: Apply knowledge and experience in MR physics, mathematics, engineering and chemistry to conceptualize and prototype novel MR systems and software solutions that address key clinical needs. Develop next-generation MRI sub-systems with enhanced capabilities, and associated applications that leverage them. Examples are in high-performance gradient coils, RF coils, receiver sub-systems, gradient drivers, etc. Determine the impact of systems hardware performance on image quality and safety. Develop algorithmic and/ or systems hardware solutions for MR-guided therapy and interventional applications. Grow external collaborations with academic and industry partners through joint publications, grant submissions and technology development. Work with clinicians to refine emerging technologies for clinical applications. Create intellectual property by generating invention disclosures and filing patents. Maintain external visibility through conference presentations and peer-reviewed journal publications. Required Qualifications Ph.D. degree in Physics, Medical Physics, Electrical Engineering, Biomedical Engineering, Chemistry, Computer Engineering, or other related fields, with at least 4 years of research experience. A demonstrated record of research and development as evidenced by peer-reviewed conference proceedings and journal publications. Strong fundamentals in MR imaging physics, electromagnetic theory, and MR hardware sub-systems. Demonstrated strong problem-solving skills, including the ability to understand and address root causes of MR image quality issues in investigational prototypes. Proficiency in programming in C, Python and/ or simulation tools. Legal authorization to work in the U.S. is required. You will need to have valid, on-going authorization to work in the U.S. Must be willing to work out of an office located in Niskayuna, NY. Must be 18 years or older. You must submit your application for employment on the careers page at ******************************** to be considered. Desired Characteristics Demonstrated ability to originate and follow through on ideas. High levels of curiosity and independence. Strong interpersonal skills. Excellent written and verbal communication skills. Experience in writing and executing grant proposals. Hands-on experience in MR systems hardware, especially gradients and RF transmit sub-systems. Experience in developing or modifying components of MR sub-systems leading to measurable changes in image quality and new applications. Experience in EM and multi-physics modeling, especially for analysis of RF transmit and gradient field bioeffects. Experience in pulse sequence programming on a GE HealthCare MRI scanner and/ or developing new image reconstruction algorithms. For U.S. based positions only, the pay range for this position is $97,600.00-$146,400.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare 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 HealthCare 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). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: Yes

GE Vernova's researchers work on the advancement of Robot Perception technology for industrial domain, ultimately contributing to the Energy Transition by electrifying the world and decarbonizing the energy sector. As a Research Scientist in Robotic Perception, you will play a key role in solving challenging robot perception problems for various robotic platforms (i.e., manipulators, quadrupeds, etc.) in industrial settings. You will join a world-class research team working on scene understanding, object manipulation, and vision foundation models. You will shape novel techniques to expand the ability for robots to effectively interact with the world. You will develop algorithms for robotic systems for various industrial domains including renewable energy, power generation, electric grids, and manufacturing. This will involve working on projects with GE Vernova's business units and a wide array of fellow researchers across disciplines and domains. It will also include the opportunity to work on government-sponsored, cutting-edge research programs with GE Vernova's external partners in academia and government. You will help drive the future of robotics research at GE Vernova. 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 power the energy transition. We forge the partnerships and 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 technology partners 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. Job Description Essential Responsibilities: * Work with teams of researchers on new and continuing projects * Develop robotic perception modules for application industrial manipulators * Creatively combine state-of-the-art (SOTA) open-source models and in-house data to advance the robot capabilities * Write high-quality (documented, tested, maintainable) Python / C / C++ code in a large shared codebase * Implement and analyze prototypes and solutions for real-world problems * Create intellectual property by writing invention disclosures and filing patents * Publish research work to scientific journals and conferences * Writing and/or supporting grant proposals Qualifications/Requirements: * PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on robotics, computer vision, or similar OR MS + 2 years' work experience in similar areas * Strong Computer Vision / Computer Graphics research background * Track record of published peer-reviewed research in topics such as: * Learned 3D reconstruction, depth prediction, feature matching, semantic segmentation, object 6-DoF pose and shape estimation * Vision-language models * Multimodal perception with vision/proprioception/touch sensing * Learned visual representations and foundation models for robot manipulation * Proficiency in Python programming and popular ML frameworks * 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. * Must be willing to work out of an office located in Niskayuna, NY * Must be 18 years or older * You must submit your application for employment on the careers page at ************************* to be considered Desired Characteristics: * PhD in Computer Science, Machine Learning, Robotics, Computer Graphics or a related field * Hands-on robotics (manipulators, quadrupeds etc.) experience * Practical knowledge of 3D geometry, projective geometry, camera models The salary range for this position is $85,600 - $140,000 USD, annually. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. This position may also be eligible for a sign on incentive and new hire equity grant based on meeting certain eligibility criteria. This position will remain posted until at least July 25th, 2025. 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. For candidates applying to a U.S. based position, the pay range for this position is between $88,600.00 and $147,600.00. 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 December 01, 2025. 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.

Applications to be submitted by December 11, 2025 Compensation Grade: P25 Compensation Details: Minimum: $95,599. 00 - Maximum: $95,599. 00 Annually Positions with a designated work location in New York City, Nassau, Rockland, Suffolk, or Westchester Counties will receive a $4,000 annual downstate adjustment (pro-rated for part-time positions). Department (OPH) CEH - Bureau of Environmental & Occupational Epidemiology Job Description: Responsibilities The Research Scientist III will lead and perform ongoing and upcoming research and program activities within the Bureau of Environmental & Occupational Epidemiology. The position will support epidemiologic research and surveillance activities, particularly related to birth defects and stillbirths. The incumbent will lead, coordinate, and participate in all phases of epidemiologic research and statistical analysis, including work to examine patterns, trends, risks, and causes of disease. The incumbent will work both independently and serve on a team to contribute directly towards problem definition, study design, planning, execution, data management, analyses, and interpretation and presentation of results to various audiences. The incumbent will provide statistical training and guidance to junior staff, including but not limited to those conducting birth defects and stillbirth research projects. The incumbent will prepare reports, manuscripts, and presentations based on performed analyses; will lead all project-related data collection, including data related to the active ascertainment of outcomes of interest. Additionally, the incumbent will supervise staff on research projects and data-related activities. Minimum Qualifications Bachelor's degree in a related field and four years of research experience; OR a Master's degree in a related field and three years of research experience; or a Doctorate in a related field and one year of research experience. Preferred Qualifications Advanced degree in Biostatistics. Advanced statistical analysis skills. Advanced SAS and R skills. Experience within data management. Experience with managing and editing a Microsoft Access database. Experience conducting and publishing research, particularly on birth defects and stillbirth, as demonstrated by first authorship on peer-reviewed publications. Experience working with vital records data and other large administrative datasets. Experience devising algorithms to match to large administrative data sets. Experience analyzing Statewide Planning and Research Cooperative System (SPARCS) data. Experience supervising staff. Conditions of Employment Grant funded position. Compliance with funding requirements such as time and effort reporting, grant deliverables, and contract deliverables, is required. Visa sponsorship may be available for this position, in accordance with applicable federal requirements. Travel up to 10% of the time will be required. The selected candidate must reside within a reasonable commuting distance of the official work location specified in the job posting and must also be located in or willing to relocate to one of the following states: New York, New Jersey, Connecticut, Vermont, or Massachusetts, prior to hire. Telecommuting will be available. HRI participates in the E-Verify Program. Affirmative Action/Equal Opportunity Employer/Qualified Individuals with Disabilities/Qualified Protected Veterans www. healthresearch. org About Health Research, Inc. Join us in our mission to make a difference in public health and advance scientific research! At Health Research, Inc. (HRI), your work will contribute to meaningful change and innovation in the communities we serve! At HRI, we are on a mission to transform the health and well-being of the people of New York State through innovative partnerships and cutting-edge public health initiatives. As a dynamic non-profit organization, HRI plays a crucial role in advancing the strategic goals of the New York State Department of Health (DOH), Roswell Park Comprehensive Cancer Center (RPCCC), and other health-related entities. HRI offers a robust, comprehensive benefits package to eligible employees, including: Health, dental and vision insurance - Several comprehensive health insurance plans to choose from; Flexible benefit accounts - Medical, dependent care, adoption assistance, parking and transit; Generous paid time off - Paid federal and state holidays, paid sick, vacation and personal leave; Tuition support - Assistance is available for individuals pursuing educational or training opportunities; Retirement Benefits - HRI is a participating employer in the New York State and Local Retirement System and offers optional enrollment in the New York State Deferred Compensation Plan. HRI provides a postretirement Health Benefits Plan for qualified retirees to use towards health insurance premiums and eligible medical expenses; Employee Assistance Program - Provides educational and wellness programs, training, and 24/7 confidential services to assist employees, both personally and professionally; And so much more! As the Executive Director of Health Research, Inc. (HRI), I would like to welcome you to HRI's career page. HRI's mission is to build a healthier future for New York State and beyond through the delivery of funding and program support to further public health and research programs in support of the New York State Department of Health, Roswell Park Comprehensive Cancer Center and other entities. This achievement is made possible through the recruitment of highly talented and qualified individuals. As an Equal Opportunity and Affirmative Action employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability, protected veteran status, or any other characteristic protected by law. HRI is committed to fostering an environment that encourages collaboration, innovation, and mutual respect and we strive to ensure every individual feels welcomed and appreciated. We invite you to explore and apply for any open positions that align with your interests. --- If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting HRI Human Resources at hrihr@healthresearch. org or **************.

The Center for Strategic and International Studies (CSIS) is a non-profit, bipartisan public policy organization established in 1962 to provide strategic insights and practical policy solutions to decision makers concerned with global security and prosperity. Over the years, it has grown to be one of the largest organizations of its kind, with a staff of some 250 employees, including more than 120 analysts working to address the changing dynamics of international security across the globe. The CSIS Energy Security and Climate Change Program seeks a temporary research associate to support our portfolio of work focusing on energy security and permitting reform. The temporary research associate's responsibilities will include policy research, data analysis, project management, proposal development, and administration. The successful candidate will be a team player, possess excellent research, writing and communication skills, and have an entrepreneurial spirit and drive to turn ideas into impact. Demonstrated experience of permitting reform and energy security is preferred. The salary band for this role is $63,000 -$75,000, commensurate with experience. ESSENTIAL DUTIES AND RESPONSIBILITIES: Essential functions may include, but are not limited to the following: Research, Writing, and Project Management (75-80%), including but not limited to: * Identifies and researches key issues in global energy and climate policy, clean energy development, geopolitical developments, and other related program areas of interest * Researches and contributes writing to reports, analysis, thought pieces, and multimedia products * Contributes to multiple collaborative research projects * Represents the Program at meetings, workshops, and public or private events * Other tasks as assigned by the Director * Administrative Duties (20-25%), including but not limited to * Provides task management, including coordination of publications, events, and related project deliverables * Ensures timely execution of regular internal and external communications regarding project assignments * Works with the Program to organize and execute meetings, conferences, and workshops, and other logistics as needed * Other tasks as assigned by the Director KNOWLEDGE, EDUCATION, AND EXPERIENCE: * 2-3 years direct experience in energy and climate sector * Familiarity with environmental permitting procedures * Experience in a fast-paced think tank environment * Familiarity with environmental laws * Demonstrated knowledge of energy and climate policy, particularly with the relevant U.S. executive agencies and U.S. Congress * Master's degree or equivalent related work experience in the field * Demonstrated verbal and written communication skills including the ability to effectively present information and respond to questions from constituency groups, media, governmental entities, and the general public * Possess an entrepreneurial mind-set and be able to work well independently and in teams * Sound judgment and creative outlook PHYSICAL REQUIREMENTS AND WORK CONDITIONS: The physical demands are representative of those that must be met by an employee working in an office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. The noise level in the work environment is usually moderate. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Equal Opportunity Employer. HOW TO APPLY: Interested applicants please submit your resume and cover letter at *************************

Job Title: Research Scientist I Grade: 18 Salary: $61,811 - $70,591 The Research Foundation for Mental Hygiene, Inc. is currently seeking a Research Scientist I, position at OMH working in the division of Office of the Chief Medical Officer and Office of Population Health & Evaluation (OPHE). OMH oversees a variety of initiatives and programs that serve adults with serious mental illness and children and youth with serious emotional disturbance. OPHE provides data collection, evaluation, data management, analyses, visualization and reporting to support these OMH functions. OPHE also maintains the Psychiatric Services and Clinical Knowledge Enhancement System (PSYCKES) application (an award-winning web-based application designed to support quality improvement and clinical decision making) and is currently in use by provider agencies in New York State as well as state agencies, county governments, health homes and managed care organizations. The PSYCKES application portfolio also include iOS and Android mobile applications as well as the My Collaborative Health Outcomes Information System (MyCHOIS) application, which provides recipients with their own personal treatment history and recovery-oriented resources. The incumbent of this position will support the OPHE Medical Informatics team. The goals of the Medical Informatics team are to coordinate development and testing of new data and features for the PSYCKES and MyCHOIS applications, provide high quality training and technical support to users, and promote effective implementation strategies for data exchange and interoperability solutions across New York State healthcare settings. incumbent should be highly organized individual with a strong attention to detail, relate well to a diverse group of project stakeholders, and have the ability to work both independently and as a part of a team. Duties and Responsibilities: * Establish and maintain systems for recording, tracking, and updating project materials. * Develop tracking spreadsheets and monthly/quarterly progress reports using Microsoft Word and Excel. * Send electronic mass mailings. * Schedule meetings/conference calls; prepare materials for meetings; take detailed minutes and notes. * Provide support via phone and e-mail to application users and project participants by processing requests for information, investigating and resolving issues reported by users, and updating customer service tracking system. * Manage requests from both providers and recipients regarding access to the PSYCKES and/or MyCHOIS applications. * Provide guidance and expertise to other Research Scientists working on the OPHE Helpdesks and serve as liaison between other OMH and OPHE teams to field and resolve questions. * Participate in quality assurance testing for PSYCKES and MyCHOIS web and mobile applications. * Track defects and communicate with members of the information technology and data analysis teams. * Develop and update training materials (e.g., user guides, webinar slides, short how-to videos) * Schedule Webex online webinars, coordinate and lead training webinars, and provide technical support and assistance during trainings. * Complete accessibility edits and create website update requests for the Public Information Office (PIO) to maintain the PSYCKES public-facing website with up-to-date training materials, release notes, and announcements. * Qualitative and quantitative data analysis. * Support the development of products to disseminate findings, including PowerPoint presentations for conferences, written reports for internal and external (public) distribution, and manuscripts for publication. Minimum Qualifications: * Bachelor's degree and two years of professional research experience in an appropriate field or master's degree in an appropriate field may substitute for one year of the experience. * Appropriate fields include Public Health, Psychology, Sociology, Social Work, or a related social science field, Biostatistics, Economics, Epidemiology. Preferred Qualifications: * Experience with Oracle, Adobe and AdobeSign 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.

**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.

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.

This is Cradle Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionising this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia. We're an experienced team of roughly 60 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture. We offer our employees a very competitive salary, a generous equity stake (for full time employees) in the company and a wide range of benefits and career progression opportunities. What we're looking for We are looking for a motivated Research Associate to strengthen our Large Libraries team. This team is responsible for developing and running high-throughput workflows for generating massive-scale protein libraries and screening them to produce datasets with >10^6 data points. These datasets power our machine learning models to accelerate protein optimization for antibodies, enzymes, and other protein classes. We're building cutting-edge experimental capabilities incorporating technologies like FACS, display platforms (yeast, phage, mRNA), microfluidics, and next-generation sequencing, working hand in hand with our ML algorithms. As a Research Associate, you'll join a diverse team of researchers to collaboratively execute and continuously improve novel wet lab methods for large-scale library construction, high-throughput screening, and data generation. If you enjoy running protein engineering workflows at scale, love to optimize experimental systems, and want to be a part of building world-class screening capabilities for the next-generation platform for making biotechnological products, please apply! Responsibilities As a Research Associate in the Large Libraries team, you will: * Run workflows for large-scale library construction, protein display platform preparation (e.g. yeast display, phage display), high-throughput screening (e.g. FACS), and NGS sample preparation. * Operate and maintain high-throughput screening equipment and automation platforms to generate high-quality datasets. * Suggest and work on improvements to make these workflows more efficient, robust, scalable, and integrated with our ML pipeline. * Effectively communicate results, successes, and challenges in a cross-functional environment. Your background Missing one or two points from the list below? No worries, if you're excited about this role and meet most of these criteria, we definitely want to hear from you. * BSc + 2 yrs, MSc, or equivalent experience in molecular biology, biochemistry, protein engineering, or related fields. * Demonstrated hands-on experience with at least one of the following: yeast display, phage display, mammalian display systems, or other protein library platforms. * Experience with flow cytometry (FACS) or other high-throughput screening methodologies. * Hands-on experience with standard cloning techniques and DNA library construction. * Excitement to learn, contribute, and drive innovation in an early stage startup environment. Having an appetite for its ambiguity and fast pace. * Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment. * Ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized. Nice-to-haves Experience with one or more of the following would be an advantage: * Display platforms (yeast, phage, mRNA, ribosome display, or mammalian display). * Flow cytometry and FACS * Next-generation sequencing library preparation and quality control (Illumina, Nanopore, PacBio). * Microfluidics platforms for high-throughput screening. * Classical high-throughput laboratory automation (robotic liquid handlers, plate readers, colony pickers). * High-throughput cloning technologies, such as site-directed mutagenesis, Gibson Assembly, Golden-Gate Cloning, or overlap extension PCR. * Large-scale library construction methodologies (>10^6 variants). * Familiarity with (scripting) languages such as Python, Matlab, R, SQL. * Experience with statistical experimental design or data quality assessment. Learning more about the BioEngineering team We're quite open about what we work on in our BioEngineering team. If you'd like to learn a bit more before applying, check out blog posts from our team (link 1, link 2) or watch our webinar on lab automation. A notice about recruitment scams: Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate *************** email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.

Title: Senior Research Support Specialist Descriptive Title: Assistant Ecologist/Botanist Unit: New York Natural Heritage Program Salary: $55,000 - $63,000 annual depending on qualifications PROGRAM BACKGROUND The New York Natural Heritage Program (NYNHP) is a program of the State University of New York College of Environmental Science and Forestry (SUNY- ESF). The program's mission is to collect, analyze and share scientific information that can be used to preserve native species and ecosystems. NYNHP works in partnership with the New York State Department of Environmental Conservation (DEC), and other state, federal, and private organizations involved in natural resource management, land protection and stewardship, and advancing the conservation of biodiversity. For more information, please visit ************** BRIEF DESCRIPTION OF DUTIES * Assist staff ecologists and botanists in conducting field surveys statewide using standard protocols. * Process data collected into databases, including NYNHP Field Forms database, wetland databases, digital image databases, and Biotics (Biodiversity Tracking and Conservation System). * Map occurrences of natural communities, rare animals, and rare plants using the standardized Heritage methodology. * Compile data from internal and external sources on field sites to be visited, including data from Natural Heritage databases and GIS, landowner information, historical documentation and more. * Compile and prepares data for analysis with ArcGIS analyses and statistical software. * Assist with obtaining information from partners. * As needed, assist biologists in conducting fieldwork across New York State. * Review scientific literature as assigned. Requirements: REQUIRED QUALIFICATIONS * Bachelor's degree in ecology, natural resources, environmental science, forestry, biology, zoology, natural history, or related field. * Course work or field experience in one or more of the following areas: community ecology, wetland systems, zoology, and botany. * Experience with ArcGIS or related computer mapping products. * Basic familiarity with aerial photograph/orthoimagery interpretation and community or cover type mapping in GIS. * Knowledge of regional fauna and flora, natural communities, ecosystems, or ecosystem processes. * Familiarity with taxonomic keys and field guides. * Valid NYS driver's license or the ability to obtain one. PREFERRED QUALIFICATIONS * Preference will be given to graduate degrees in ecology, natural resources, environmental science, forestry, biology, zoology, natural history, or related field. * Experience with taxonomic keys and field guides. * Field ecology or botany experience, such as vegetation plot sampling and land cover or ecological community mapping. * Proficiency in ArcGIS Pro and ArcGIS online * Experience with using databases (MS Access or other) for data entry and report production. * Experience in analyzing and interpreting data and preparing reports. WORKING CONDITIONS/PHYSICAL EFFORT * May travel throughout New York State conducting field work and may work in variable weather conditions, at remote locations, on difficult and hazardous terrain, and under physically demanding circumstances, in isolated settings. Additional Information: SUNY-ESF and the Broader Community ESF is a specialized college within the 64-campus SUNY system, and a Carnegie R2 "High Research Activity" Institution that consistently earns high rankings in US News and World Report, Forbes, Princeton Review, and other national college guidebooks. With a total enrollment of about 2,200 undergraduates and 400 graduate students, combined with the immediate proximity of Syracuse University and Upstate Medical University, ESF provides an intimate, small-college atmosphere within a vibrant, large-university setting. ESF's extended campuses include more than 25,000 acres of forest properties, both close to Syracuse and across the Adirondack Park, which provide numerous opportunities for experiential coursework, research, and public outreach. Located on the eastern edge of the Finger Lakes region, Syracuse is a small city in a rural region offering a diversity of natural and cultural amenities, a low cost of living, and a high quality of life - ranking among the top 10 percent of "Best Places to Live" in "The Places Rated Almanac." Syracuse is situated with easy access to New York City, the Adirondack Park, Lake Ontario, and many other points of interest in the eastern United States and Canada. In accordance with the "Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act" institutions of higher education are required to prepare an annual report containing information on campus security policies and campus statistics. This report includes statistics for the previous three years concerning reported crimes that occurred on-campus; in certain off-campus buildings or property owned or controlled by SUNY-ESF; and on property within, or immediately adjacent to and accessible from the campus. The report also includes institutional policies concerning campus security, such as policies concerning sexual assault, and other matters. You can obtain a printed copy of this report by contacting SUNY-ESF University Police at ************ or by accessing the following web site: ****************************************************** ****************************************************** SUNY ESF is a Smoke and Tobacco Free campus and is dedicated to providing a healthy and safe environment for the entire campus. For more information you can visit our Tobacco and Smoke Free Policy at ********************************************************* As an Equal Opportunity / Affirmative Action Employer, The Research Foundation for SUNY will not discriminate in its employment practices due to an applicant's race, color, creed, religion, sex, pregnancy-related conditions, reproductive health decisions, childbirth or related medical conditions, sexual orientation, gender identity or expression, transgender status, age, national origin or ancestry, marital status, familial status, citizenship, physical and mental disability, prior arrest or conviction record, genetic characteristics/genetic information, predisposition or carrier status, domestic violence victim status, military status or service, veteran status, or any other characteristics protected under federal, state or local law. The Research Foundation for The State University of New York offers exceptional benefits such as healthcare, dental, vision, pension plans, competitive pay, generous paid time off, life insurance and long-term disability insurance. The Research Foundation for the State University of New York is not an agency or instrumentality of the State of New York. Employees of the Research Foundation for the State University of New York are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. The Research Foundation for the State University of New York operates under a contract with The State University of New York and receives no directly appropriated state funding. Application Instructions: Application Deadline: Although applications will be accepted until the position is filled, candidates should submit their application by November 14, 2025 to ensure optimal consideration. Application Procedure: Application materials are required to be submitted on-line. Attach cover letter, curriculum vitae, resume and contact information for three employment references.

As a Combustion Fellow Intern in the Aerothermal Mechanical Systems Lab, you will have a role in advancing the technology readiness level of combustion solutions that enable the future of flight: sustainable, high speed, and next generation propulsion. You will participate in the modeling, design, analysis, and/or assembly of test rigs, test equipment, and test articles that push the state of the art of combustion systems, fuel flexibility, and dynamics. At GE Aerospace Research, scientists, engineers, and technicians innovate for the future of flight. An internship with us will provide valuable hands-on experience to help you launch your career in industrial research. Intern assignments are typically for 12-14 weeks; working side by side with experts in the field of mechanical engineering, completing challenging technical projects and applying theoretical knowledge to real-life technical problems. This program includes seminars on cross-center technology and soft skills development as well as opportunities for networking and showcasing project accomplishments. **Required Qualifications** · Current enrollment in a full-time Ph.D. degree program in Aerospace or Mechanical Engineering or related disciplines at an ABET accredited university · This role requires use of Controlled Unclassified Information (CUI) or security clearance to access classified information. Therefore, employment is contingent upon your ability to prove that you meet the qualification of being a US Citizen. · Willingness to work on the Niskayuna NY GE Aerospace campus. · Minimum GPA 3.0 / 4.0 scale **Eligibility Requirements:** Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Due to the nature of our projects, US Citizenship is required. **Desired Characteristics** · Excellent academic performance with technical research orientation · Ability to adapt to change and willingness to be flexible in a global team environment · Strong interpersonal skills, initiative and organization; demonstrated ability working with a team · Strong problem solving skills, thorough attention to detail · Experience with aero and/or combustion modeling tools such as Python, Matlab, Cantera, Ansys, Comsol, NPSS, CAD Software · Experience with experimental diagnostic techniques such as PIV, PLIF The pay range for this position is $1,000-$2,000 USD weekly. The specific weekly rate offered to a candidate may be influenced by a variety of factors including the candidate's experience, their education, and the work location. GE provides travel reimbursement and housing stipend for qualified interns. 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.

Department/Unit: Neuroscience & Experimental Therapeutic Work Shift: Day (United States of America) Salary Range: $40,495.10 - $52,643.64Stephens' lab research: The Stephens lab is a behavioral neuroendocrinology lab that examines the interaction of hormones, biological sex, the brain, and behavior. Our research lab has several areas of focus: 1) We examine how the brain regulates puberty onset, adult fertility, and reproductive hormone secretion and how the brain and reproductive events differ between males and females. Our goal is to identify novel causes and/or therapeutic targets for infertility and reproductive disorders in both sexes. 2) We hypothesize that adolescence/puberty is a critical time during brain development when biological and life events can permanently change the brain and behavior. Our research examines how reproductive hormones and other genetic factors are critical for normal development of the brain, reproductive physiology, and behavior. We also examine how disruptions during development, such as exposure to drugs, can cause permanent and sex-specific changes in the brain and adult social behavior. Our goal is to better understand the genetic and neuroanatomical changes during development and the long-term consequences of disruptions during brain development. Research Technician Job duties: Under minimal supervision, the laboratory technician will perform research experiments involving molecular and physiological analyses of neuroendocrinology and behavior in rodent models. The technician will also assist lab members with experiments and help to manage the rodent colony, including compliance with ACUP and IACUC policies. Required animal duties include, but are not limited to: health checks, breeding rodents, handling rodents, collecting blood samples, injections, surgical procedures, euthanizing rodents, tissue sample collection, and executing rodent studies under the direction of the supervisor with minimal technical supervision. Additional required duties include but are not limited to: Performing molecular biology techniques including RNA/DNA extractions, DNA analysis (genotyping), RT-PCR, qPCR, cloning, running gels, and transcription reactions. Making lab solutions and reagents. Performing histology techniques such as brain and tissue collection, brain tissue cutting onto slides (using a cryostat), and preparation of brain tissue samples for microscopy analysis. Assist lab personnel in the running of histological assays on brain tissue, such as in situ hybridization and immunocytochemistry. Perform microscopy analyses of brain histology assays. Analyze data and help design future experiments. The position also involves directly training student researchers, performing general lab maintenance, managing lab inventory and ordering supplies, acting as a liaison between the lab and different departments, managing laboratory protocols and compliance documents, and helping to manage biohazard waste and radioactivity compliance. The technician must be willing to: 1) perform experiments involving the handling, dissection, and euthanasia of laboratory rodents; 2) work with radioactive isotopes, recombinant DNA, biohazardous research materials, and toxic research chemicals; and 3) vary work schedule (e.g. work nights or weekends) to accommodate research needs Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. Ideally you'd have: Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes. A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.) At least three years of experience addressing sophisticated ML problems, either in a research setting or product development. Strong written and verbal communication skills and the ability to operate cross-functionally. Nice to have: Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents. Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc. Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. 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-$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.

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunity The vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components. Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making. Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages. Work in collaboration with various teams, in particular the experimental materials science team. Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development. Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops. The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking. Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation. About you Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs. At least 3 years of research experience in AI, with a proven track record of designing agentic systems. Familiarity with large-scale model training. Proficiency in Python and relevant ML libraries (e.g., PyTorch). Strong publication record in top-tier AI/ML conferences or journals. Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively. Pluses Passionate about leveraging ML for science related problems and a commitment to doing world-class research. Domain knowledge of materials and/or molecules. Familiarity with large-scale model training. Experience with LLM engineering. Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences. What we offer A competitive compensation package also includes the best in benefits: Medical, dental, and vision insurance for you and your family Mental health and wellness support Unlimited PTO and 14+ company holidays per year 401K Work closely with a team on the cutting edge of AI research. A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery. Salary Description Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

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.

EvolutionaryScale, now part of CZI Biohub, is pioneering the next era of AI-powered biology to understand and program life at scale. Together, we're combining frontier artificial intelligence and frontier biology and building the technology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. Our mission is to unlock new scientific discoveries that will help cure or prevent disease. Backed by the Chan Zuckerberg Initiative (CZI), Biohub operates as a nonprofit organization uniting leading scientists, engineers, and technologists across hubs based in California, New York, and Chicago. In 2025, Biohub welcomed the EvolutionaryScale team - recognized for creating large-scale frontier AI systems for the life sciences - to accelerate the mission. Led by co-founder Alex Rives, who now serves as Head of Science at Biohub, the integrated organization is scaling up the compute and research infrastructure needed to build next-generation models of biology-powered by the largest cluster dedicated to open science. We are at a pivotal moment in science offering a world-class interdisciplinary research environment across biology, data, and artificial intelligence and we will continue to hire for exceptional talent across these disciplines. We are excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week. The Role Understand the state of the art in AI or biology and move forward at least one of those fields. Contribute to designing and executing the long-term research roadmap for the company. Drive the research for a portion of the company's foundation model efforts and lead projects in that area; or Collaborate directly with researchers, engineers, and scientists at the company's partners (clients or academic partners) to deploy the company's technology and research towards the partner's business. Be effective representatives of the company and our products to partners and other external collaborators. Implement software for research initiatives and collaborate with other researchers and engineers. Engage the wider scientific community through impactful publications and open-source releases. Qualifications (preferred) Proficiency in programming languages such as Python. PhD in computer science or a related field, or equivalent experience. 3+ years of experience implementing deep learning models with pytorch or equivalent libraries. Ability to plan and run ML experiments, analyze and communicate outcomes. Compensation The salary range for this position is $150,000 to $350,000+ per year. Compensation package will vary based on job-related skills, level of experience, and knowledge. Comprehensive Benefits We're thankful to have an incredible team behind this work. To honor their commitment, we offer a wide range of benefits to support the people who make it all possible. Provides a generous employer match on employee 401(k) contributions to support planning for the future. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving. Why Join Us Be part of a transformative scientific initiative backed by CZI's long-term commitment and resources. Work alongside world-class researchers redefining how biology is understood and programmed. Access state-of-the-art compute infrastructure and cutting-edge lab technologies. Contribute to the first large-scale effort combining frontier AI with frontier biology to solve disease. Open science that shares data, tools, and results to accelerate progress for everyone.

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

Cellectis' Clinical Sciences (CS) organization is seeking a highly motivated and experienced clinical Research Scientist to support the both the development and execution of our innovative proprietary UCART allogeneic CART cell therapies programs. The Director, Clinical Research Scientist participates in design and implementation of the development strategy and supports the Clinical Science Physicians with various deliverables necessary for effective and efficient planning and execution of their assigned program. Additionally, the successful candidate in this role would also be responsible for working closely with the Clinical Operations Team to support the development of clinical development processes, templates and potentially training and management of junior clinical research scientists. Job Responsibilities * Supports the clinical development of assigned programs and participates and supports the design and implementation of the development strategy * Provide scientific input into design & implementation of clinical trial(s), their delivery, clinical data review and data cleaning, interpretation of results, reporting successfully on time, and activities required for worldwide registration of the product (i.e. clinical input to NDA/BLA) * The Global Development Scientist Director may also provide expert input or lead functional process improvement initiatives and provide contributions to cross-asset or cross-tumor area working groups depending on the level of experience * May co-lead study team meetings in partnership with Clinical Operations study lead * Supports the clinical/medical monitoring and associated documentation; attends and represents the clinical sciences organization on various sub-teams or other appropriate forums, act as primary point-of-contact for clinical study or program for clinical science related activities, and providing clinical science inputs into study safety reporting. * Clinical Scientists are likely to have regular external interactions with a variety of internal and external partners and stakeholders, such as cooperative groups, key opinion leaders (KOLs), clinical investigators, clinicians, scientists as well as multidisciplinary internal groups. They may also, alongside the Clinical Sciences Physician, participate in external interactions with health authorities (HAs) * Provides strategic clinical science support for assigned studies and programs * Collaborate cross-functionally to develop Protocol and ICF documents / amendments and present these to governance committee and early clinical development team meetings as required * May author and/or review clinical narratives in conjunction with pharmacovigilance * in collaboration with Data Management will develop Data Review Plan, and monitor clinical data for specific trends, ensure CRF design adequately supports data collection in alignment with the protocol in collaboration with Data Management/Programming * Develops and/or provides input for clinical presentation slides and other materials for internal/external meetings (e.g., DSMB, EOC, site and CRA training for SIV and investigator meetings) and/or ongoing communications for review/discussion in concert with Clinical Science Physicians * In concert with Clinical Sciences Physicians provide clinical contributions to internal documents and presentations including clinical study reports (CSRs) and clinical portions of Regulatory Documents (e.g., IB, DSUR, PSUR, Orphan Annual Reports, HA, EC, IRB responses and contribute to regulatory submission); as well as external publications (abstracts, posters, manuscripts) * As appropriate, participates in ongoing enhancements/development of team processes, structures, systems, tools, and other resources; As appropriate, coaches and guides less experienced Clinical Scientists * Where applicable, may manage one or more direct reports and is, in such instances responsible for hiring, training, developing, and retaining talent on his/her staff. * As appropriate, participates in competitive intelligence and/or other market/industry assessment activities and projects * Maintains scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment Core Competencies * Strong interpersonal, verbal communication and influencing skills: can influence without authority and is willing to cultivate relationships with key partners and stakeholders, both internally and externally * Outstanding written communication skills * Strong analytical and presentation skills: effective at summarizing and presenting the key considerations and decision-points * Comfortable working in fast paced entrepreneurial environment * Ability to travel up to 20% Education and Experience * Advanced degree in Life Sciences (MD, PhD, Pharm D, MS, RN or similar scientific field preferred) * Minimum of 5 years pharma/biotech industry experience in clinical development in oncology/hematology clinical trials * experience in CAR T-cell therapy is preferred * Experience in data review, data cleaning, managing and interpreting clinical trials results as well as exposure to writing protocols * Possesses sound foundational knowledge of FDA and other major country regulations and detailed knowledge of Good Clinical Practice other regulations governing clinical research Physical Requirements * In office 4 days per week, required * Sedentary, desk position Salary Range * $175,000-225,000 (final salary is dependent on candidate's experience and credentials)

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.

The Impact You Can Make Processes and screens various secretions, excretions, and body fluids to determine the presence of both normal and abnormal cellular components, which may require further evaluation by the Laboratory Supervisor (Cytology) and/or Pathologist. In the absence of a supervisor, coordinates work assignments and oversees performance of tests in area of responsibility, to maintain appropriate service level. The Glens Falls Hospital Impact Mission Our Mission is to improve the health of people in our region by providing access to exceptional, affordable, and patient-centered care every day and in every setting. How You Will Fulfill Your Potential Responsibilities Organize the specimens and workflow for the molecular testing (HR-HPV and CT/NG). Performs cytological screening of both GYN and non-GYN prepared slides obtained from various specimen types to recognize normal, variations of normal and abnormal cellular components. Proficiently applies the Bethesda Classification System to report results of PAP specimens. Meets departmental productivity standards without exceeding those established by NYSDOH. Consults supervisor and/or pathologist as required. Conducts and documents quality control necessary to ensure proper preparation and staining of materials. Makes associated adjustments in staining procedures as needed to produce superior quality slides. Participates in quality assurance and proficiency testing activities as described by NYSDOH and Federal guidelines. Follows all SOPS for processing, filing, and indexing cytologic materials and slides so that the continuity of identification and quality slides are prepared for study and evaluation. Education/Experience: Baccalaureate degree in biological sciences or medical technology or meets the qualifications for cytotechnologists as outlined n Subpart 58-1.5 (C) of the state health code. Graduate of a school of cytotechnology approved by the American Medical Association (AMA). 6 years of work experience as a cytotechnologists Registration by American Society of Clinical Pathologists (ASCP) Attends a minimum of 24 CME hours/year. Previous supervisor experience preferred Licenses/Certificates/Registrations: Registration by NYSDOH Registration by American society of Clinical Pathologist Skills/Abilities: Ability to operate various technical instrumentation. Ability to recognize and solve problems regarding technical procedures, instrumentation, and test results. Ability to accurately screen specimens within established guidelines. Ability to apply judgment to correlate cytologic findings to standard systems of reporting. Ability to read, comprehend, and interpret results, medically related articles of literature, and instructions from SOP and vendor manuals. Ability to count and add/subtract 2-3 digit numbers for daily and monthly workload statistics. Communities We Serve Located in the foothills of the beautiful Adirondack mountains, Glens Falls is conveniently located a short drive away from the capital region and Lake George. Work at the top of your profession and jumpstart your next career here at Glens Falls Hospital! All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. Salary Range The expected base rate for this Glens Falls, New York, United States-based position is $30.94 to $46.42 per hour. Exact rate is determined on a case-by-case basis commensurate with experience level, as well as education and certifications pertaining to each position which may be above the listed job requirements. Benefits Glens Falls Hospital is committed to providing our people with valuable and competitive benefits offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are available to active, full-time and part-time employees who work at least 30 hours per week, can be found here.