applied scientist, artificial general intelligence, agi data services

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applied scientist, artificial general intelligence, agi data services Jobs in Boston

data management analyst - officer Jobs in Boston

data management analyst - officer

data scientist - graduate

research technician

senior data analyst

data scientist graduate

Nasdaq

<div>
 <strong>
  Data Scientist
  <br/>
  <br/>
 </strong>
 At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and gain hands-on experience working with complex datasets that power global financial markets.
 <br/>
 <br/>
 You don't need to know everything on day one &mdash; we'll help you build the skills, confidence, and network to grow your career.
 <br/>
 <br/>
 <strong>
  What you will do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, research &amp; architect AI/ML solutions across the enterprise.
  </li>
  <li>
   Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators.
  </li>
  <li>
   Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making.
  </li>
  <li>
   Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we expect:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role
  </li>
  <li>
   Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field.
  </li>
  <li>
   Understanding of the fundamentals of Statistics &amp; Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization).
  </li>
  <li>
   Demonstrated experience with deep learning (CNNs, RNNs, transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch, Tensorflow, Jax)
  </li>
  <li>
   Fluency in Python and SQL or other similar relational database management systems.
  </li>
  <li>
   Excellent verbal and written English skills to guide cross-functional teams on complex data-driven projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work experience in a corporate environment or finance/fintech industry
  </li>
  <li>
   Demonstrated interest in finance and/or market microstructure
  </li>
  <li>
   Industry experience with Deep Learning models and methods (Deep Learning Life cycle &ndash; from Problem Definition to Model Evaluation and Monitoring)
   <br/>
   <br/>
  </li>
 </ul>
 This position will be located in Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
 <br/>
 <br/>
 <strong>
  Come as You Are
  <br/>
  <br/>
 </strong>
 Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
 <br/>
 <br/>
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 We&rsquo;re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq&rsquo;s overall success.
 <br/>
 <br/>
 The base pay range for this role is $84,000 - $147,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
 <br/>
 <br/>
 Nasdaq&rsquo;s programs and rewards are intended to allow our employees to:
 <br/>
 <br/>
 <ul>
  <li>
   Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
  </li>
  <li>
   Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
  </li>
  <li>
   Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
  </li>
  <li>
   Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
  </li>
  <li>
   Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  For more information, visit
 </strong>
 Nasdaq Benefits &amp; Rewards Career page
 <strong>
  .
 </strong>
</div>


Data Scientist - Graduate

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
This Senior Decision Scientist will play a pivot role supporting strategic, data-driven initiatives across CVS Health's PBM Caremark ecosystem. You will collaborate with cross-functional stakeholders, lead projects, and translate data into solutions that tangibly drive business value. In this role, you will apply your analytical expertise and PBM data experience to help drive the success of digital products and ensure they meet customer needs and business expectations.</p><p>
This role is responsible for determining the most accurate and effective analytical methodology for forecasting models and then collaborating with cross-functional teams to ensure effective development, deployment, and business integration of the models. You will work directly with business partners to identify and prioritize opportunities for expansion and improvement of solutions, bridging the gap between development teams, stakeholders/business partners and users across various functional areas. You will also assess the performance and impact of models / solutions by conducting statistical analyses and measuring key performance indicators.</p><p></p><p><b>
What you will do</b></p><ul><li><p>
Work with cross-functional teams to drive and execute the development and deployment of analytical models</p></li><li><p>
Apply in-depth knowledge of forecasting methodology to translate business and client needs into analytical models and solutions support clients</p></li><li><p>
Identify opportunities for enhancements through data-driven analyses evaluating potential risks and benefits and quantify the impact of strategic decisions</p></li><li><p>
Conduct complex cost-benefit analyses to assess the feasibility of new methodologies, evaluate potential risks and benefits, and quantify the impact of strategic decisions</p></li><li><p>
Present analytical findings to executives and stakeholders to effectively communicate detailed information, gain alignment, and influencing upwards and laterally to drive organizational change and alignment</p></li><li><p>
Answer detailed questions from collaborators and stakeholders around the methodological details of forecasting models</p></li><li><p>
Coaches more junior colleagues and team members in techniques, processes, and responsibilities</p></li></ul><p><b><br>
Required Qualifications</b></p><ul><li><p>
3+ years work experience</p></li><li><p>
Experience in problem solving and decision-making</p></li><li><p>
Experience in developing data-driven recommendations and solutions</p></li><li><p>
Technical knowledge and experience with Excel and SQL/SAS/Teradata</p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
Proven success in developing data-driven recommendations and solutions</p></li><li><p>
Strong execution and delivery (planning, delivering, and supporting) skills</p></li><li><p>
Strong growth mindset (agility and developing yourself and others) skills</p></li><li><p>
Strong stakeholder management skills</p></li><li><p>
Strong collaboration and teamwork skills</p></li><li><p>
Strong interpersonal and presentation skills</p></li></ul><p><b><br>
Education</b></p><p>
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred</p><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$92,700.00 - $203,940.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 04/03/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Decision Scientist - PBM Forecasting Analytics

The General Hospital Corporation

<div>Site: The General Hospital Corporation<p></p><p><br>
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.</p><br>
<p></p>
General Overview:
<br>
Harris Orthopaedics Laboratory is focused on the development of polymeric and hybrid materials for applications in orthopaedics. We are seeking a highly motivated individual for an entry-level research position to support our translational research program in implantable biomaterial development. This position is ideal for new engineering graduates interested in the medical application of basic research and is a great opportunity for those who want to gain some experience before continuing their education in graduate or medical school.<br>
<br>
Responsibilities include, but are not limited to, the following activities:<br>
<br>
Specific technical functions:<br>
<ul><li>Laboratory formulation including preparation of macromers, polymers, polymer blends, polymeric consolidation.</li><li>Modification of polymers including outside services such as radiation processing.</li><li>Characterization of polymers on-site and local off-site research facilities including drug elution, mechanical and fatigue testing, wear testing, thermal and structural characterization.</li></ul><br>
General laboratory functions:<br>
<ul><li>Assembly, operation, maintaining operation protocols, scheduling management and some maintenance of assigned equipment.</li><li>Ordering supplies and keeping track of related inventory.</li><li>Maintaining clean equipment, glassware and laboratory space.</li><li>Storing data, samples, and protocols in the appropriate locations in the appropriate formats.</li><li>Working alongside other research technicians, MD students, PhD students and post-doctoral fellows.</li></ul><br>
This position requires strong academic performance (minimum 3.2 GPA is preferred). The ideal candidate will also have had prior research experience. Preference will be given to a candidate planning to matriculate at a medical or graduate school in 2027 or later.<p></p><p><b><br>
Job Summary</b></p>
Summary<br>
Responsible for maintaining laboratory equipment, organizing and preparing samples, conducting experiments, and recording and analyzing data.
<br>
<br>
Candidates who are in the process of completing their bachelor's degree have a grace period of six months from their hire date (up to 1 year if starting per diem) to provide degree equivalency verification.<br>
<br>
Does this position require Patient Care?<br>
No<br>
<br>
Essential Functions<br>
<ul><li>Perform laboratory experiments following established protocols and procedures.
</li><li>Prepare and handle samples, reagents, and solutions, ensuring accuracy and adherence to safety guidelines.
</li><li>Operate and maintain laboratory equipment and instruments, conducting routine calibration and troubleshooting as needed.
</li><li>Record experimental data accurately and maintain organized records of procedures, protocols, and results.
</li><li>Compile and analyze data using appropriate statistical and analytical methods.
</li><li>Assist in data interpretation and presentation, contributing to research findings and reports.</li></ul><p></p><div><div><div><div><div><div><div><p><b><br>
Qualifications</b></p></div></div></div></div></div></div></div><div>
Education<br>
Bachelor's Degree Related Field of Study required<br>
<br>
Can this role accept experience in lieu of a degree?<br>
Yes<br>
<br>
Experience<br>
Prior laboratory experience, either through academic coursework, internships, or employment 1-2 years preferred<br>
<br>
Knowledge, Skills and Abilities<br>
<ul><li>Strong theoretical and practical knowledge of laboratory techniques and procedures.</li><li>Familiarity with common laboratory equipment and instruments used in research experiments.</li><li>Proficiency in data collection, analysis, and scientific software tools.</li><li>Excellent attention to detail, organizational skills, and the ability to multitask and prioritize tasks effectively.</li><li>Strong problem-solving skills and the ability to troubleshoot technical issues.</li><li>Excellent written and verbal communication skills to effectively convey experimental procedures, results, and challenges.</li></ul></div><p></p><div><div><div><div><div><div><div><p><b><br>
Additional Job Details (if applicable)</b></p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p><b><br>
Remote Type</b></p></div></div></div></div></div></div></div>
Onsite<p></p><div><div><div><div><div><div><div><p><b><br>
Work Location</b></p></div></div></div></div></div></div></div>
80 Blossom Street<p></p><div><div><div><div><div><div><div><p><b><br>
Scheduled Weekly Hours</b></p></div></div></div></div></div></div></div>
40<p></p><div><div><div><div><div><div><div><p><b><br>
Employee Type</b></p></div></div></div></div></div></div></div>
Regular<p></p><div><div><div><div><div><div><div><p><b><br>
Work Shift</b></p></div></div></div></div></div></div></div>
Day (United States of America)<p></p><p><b><br>
Pay Range</b></p>
$20.16 - $29.01/Hourly<p></p><p><b><br>
Grade</b></p>
5<br>
<p></p>
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.<p></p><div><div><div><div><div><div><div><p><b><br>
EEO Statement:</b></p></div></div></div></div></div></div></div>
1200 The General Hospital Corporation is an Equal Opportunity Employer. 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. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran&rsquo;s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.<p></p><h2 class="jobSectionHeader"><b><br>
Mass General Brigham Competency Framework</b></h2><div><div><p>
At Mass General Brigham, our competency framework defines what effective leadership &ldquo;looks like&rdquo; by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.</p></div></div></div>

Research Technician

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you a tech-savvy storyteller who can translate complex AI solutions into compelling customer value? At AWS, we're seeking a AI Product Marketing Manager who can shape the future of how AI model development and inference impact customer outcomes.<br>
<br>
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across AI including Amazon SageMaker, and Amazon Bedrock.<br>
<br>
We're looking for a unique blend of data scientist, machine learning engineer, technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business.<br>
<br>
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.<br>
<br>
Key job responsibilities<br>
<ul><li>Partner with product management and sales teams to develop product strategies in AI with a direct focus on model development, inference, and ML Ops</li><li>Create and own positioning and messaging that clearly articulates value propositions to customers</li><li>Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy</li><li>Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles</li><li>Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS' AI offerings in model training, model customization, MLOps, and Inference</li><li>Represent AWS as a product evangelist in executive briefings, industry events, and analyst interactions</li><li>Drive field enablement strategies to support product launches, campaigns, and customer success</li><li>Aligns with technical and business leaders on AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case</li></ul><br>
About the team<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>4+ years experience working directly with customers on adoption of cloud-based products and services</li><li>4+ years working knowledge of cloud-based architectures in AI (Machine learning, Generative AI, Agentic AI) Bachelor's degree in Computer Science or similar field or equivalent experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>4+ years of cloud architecture and solution implementation experience</li><li>Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience</li><li>4+architectures in one or more technical domains (ML, Generative AI, Agentic AI)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 130,500.00 - 176,000.00 USD annually<br>
USA, MA, Boston - 118,600.00 - 160,000.00 USD annually<br>
USA, VA, Arlington - 118,600.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 118,600.00 - 160,000.00 USD annually</div><p></p>

Product Marketing Manager - Tech, AWS AI Marketing

Northeastern University

<div><p><b>About the Opportunity
</b></p><p></p><p><b>Job Summary
</b></p><p>We invite applications for Part-time Lecturer (PTL) positions at the graduate level. We seek a colleague with an interest in teaching the BIOT 5830 - Regulatory Landscape of Cell and Gene Therapies for the Cell and Gene Therapy Master&rsquo;s Programs, depending on program needs and enrollment. The course introduces the current state of regulatory approvals for cell and gene therapies, with a focus on scientific and technical considerations for approval in the United States, Europe, and other key global markets. It explores scientific challenges in the regulatory approval process, differences from traditional biotherapeutic approvals, and evolving pathways emphasizing quality, efficacy, and safety throughout the product lifecycle, from manufacturing to commercialization.
</p><p></p><p><b>Key Responsibilities
</b></p><p>The Part-time Lecturer will review and learn key teaching points within existing materials, prepare and deliver lectures based on provided course content, and facilitate in-person or online class discussions that encourage active learning and respectful debate. They will guide students through case studies and real-world examples in regulatory approval, provide timely feedback, grading, and coaching to support student learning, and maintain consistent engagement with students regarding their performance and progress. In addition, the instructor will adhere to Northeastern University policies and program standards.
</p><p></p><p>Part-time instructors work under the direction of the program director and will hold office hours as appropriate.
</p><p></p><p><b>Qualifications
</b></p><p>The ideal candidate will hold a Ph.D. or equivalent graduate degree in a closely related field, with at least five years of work experience in biotechnology, biopharma, or a related industry. Proven presentation and instructional platform skills are required, along with an open and supportive professional style and willingness to receive assistance and coaching from faculty when needed.
</p><p>Prior experience in a diverse higher education institution is preferred.
</p><p><b>Documents to Submit
</b></p><ul><li>CV/resume
</li></ul><ul><li>Cover letter
</li></ul><ul><li>Statement of teaching experience
</li></ul><ul><li>Three references (include name, title, company, phone, email, and relationship, e.g., current supervisor)
</li></ul><p></p><p><b>Position Type
</b></p><p></p>Academic
<p></p><p><b>Additional Information
</b></p><p></p><p>Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
</p><p></p><div><div><div><div><p>Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness &amp; life, retirement- as well as commuting &amp; transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
</p></div></div></div></div><p></p><p>All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
</p><p></p><p><b>Pay Range:</b></p></div>

Part Time Lecturer, Regulatory Landscape of Cell & Gene Therapies

University of Massachusetts Boston

<p></p><div><div><b>Job no:</b> 529639<br>
<b>Position Type:</b> Faculty Full Time<br>
<b>Campus:</b> UMass Boston<br>
<b>Department:</b> Nursing<br>
<b>Pay Grade:</b> No Pay Grade<br>
<b>Date opened:</b> 01 Apr 2026 Eastern Daylight Time<br>
<b>Applications close:</b><br>
</div>
<div></div><div><div><b>Job Description:
</b></div><div>The Simulation and Clinical Lab Education Educator's primary role involves overseeing the planning, execution, assessment, and improvement of simulation and clinical lab experiences based on evidence-based practice guidelines, course objectives, and curriculum standards. The educator will create a lab environment that replicates real clinical settings, promoting active learning, critical thinking, effective communication, and the development of the skills and confidence needed to deliver safe patient care.</div><br>
<div></div>
<div><b>
Examples of Duties:</b></div>
Collaborate with the Director of the Center for Clinical Education and Research (CCER) to drive ongoing quality enhancement across clinical lab and simulation activities<ul><li>.</li>
Establish annual goals and objectives for clinical lab and simulation development in alignment with the Manning College of Nursing and Health Sciences (MCNHS) undergraduate and graduate programs<li>.</li>
Integrate competency standards into the clinical lab and simulation curriculum to align with national entry-level nursing practice criteria<li>.</li>
Develop, assess, and update the CCER Clinical Policy and Procedures Manual to ensure safety, efficiency, uniformity, and effectiveness in CCER practices<li>.</li>
Evaluate students' capacity to perform psychomotor skills safely and accurately in clinical settings<li>.</li>
Identify and schedule the number of faculty and staff required to effectively run each simulation and clinical lab section<li>.</li>
Train clinical faculty and teaching assistants in simulation-based education techniques to enhance their ability to facilitate simulation sessions according to industry standards<li>.</li>
Oversee the undergraduate Clinical Tutoring and Referral Program, supervising graduate teaching assistants and student nurse mentors in the development of clinical tutoring experiences<li>.</li>
Evaluate students&rsquo; performance during on-campus clinical and simulation-based activities, including the Clinical Referral Program<li>.</li>
Design self-paced learning modules, unfolding case studies and skill learning stations to reinforce and enhance students&rsquo; understanding of clinical content and ability to perform clinical skills<li>.</li>
Serve as a clinical lab and simulation expert within the college, offering clinical resources and consulting to the Director and Lab Manager to ensure the acquisition of appropriate clinical supplies and equipment<li>.</li>
Support the Director of CCER with lab initiatives, research projects, and curricular activities as requested. Complete necessary reports, serve on committees, and participate in college activities as needed<li>.</li></ul><br>
<div></div>
<div><b>
Minimum Qualifications:</b></div>
<div>
Master&rsquo;s Degree in Nursing or current enrollment in a graduate nursing program, and at least three years of adult or pediatric acute or critical care nursing experience is required. Current Massachusetts RN license and Basic Life Support certification are required. Ability to accommodate a flexible schedule, which includes evening and weekend hours. Within 2 years of hire, obtain status through the Society for Simulation in Healthcare as a Certified Healthcare Simulation Educator.</div><br>
<div></div>
<div><b>
Preferred: </b>Advanced Cardiac Life Support certification. Experience participating in or facilitating high-fidelity simulation in nursing practice or education. Academic and/or clinical teaching experience.</div>
Knowledge of state and federal regulations governing nursing practice<ul><li>;</li>
Knowledge of software applications, including office software and database management<li>;</li>
Proven ability to work with diverse populations<li>;</li>
Ability to communicate effectively, both orally and in writing<li>;</li>
Ability to effectively and efficiently work in a team capacity with a broad range of staff to accomplish departmental and program goals<li>;</li>
Ability to work independently and efficiently<li>;</li>
Ability to work under pressure and under timeframes<li>;</li>
Ability to handle multiple projects at the same time<li>;</li>
Ability to prepare written reports, correspondence and recommendations<li>;</li>
Strong interpersonal skills, including the capacity to work cooperatively with a wide range of individuals<li>;</li>
Strong commitment to customer service<li>;</li>
Strong problem solving skills<li>;</li>
Excellent organizational skills and attention to detail<li>.</li></ul><br>
<div></div>
<div><b>
Supervision Received:</b></div>
<div>
<div>The Simulation and Clinical Lab Educator receives direct supervision from the Director of the Center for Clinical Education and Research (CCER).</div></div><br>
<div></div>
<div><b>
Application instructions:</b></div>
<div><b>
To Apply:</b> applicants must submit a curriculum vitae (CV) and a cover letter that includes a summary of research/scholarly interests and a teaching/mentoring statement.</div>
<div>
UMass Boston is the third most diverse university in the country, with more than 60% of our undergraduate students coming from minoritized communities and groups and more than half of our students are the first in their families to attend a college or university. Thus, our students come to us from richly diverse life experiences and backgrounds; they bring to our classrooms and research settings the robust range of perspectives growing out of the socio-cultural, economic, and historical contexts in which they have lived, along with the challenges they encounter, engage, and strive to overcome.</div><br>
<div></div>
<div><b>
Given this context, please articulate how your approach to teaching, advising, and mentoring:</b></div>
will engage with the diverse life experiences of students<ul><li>,</li>
will reflect an appreciation for the ways in which students bring their holistic selves into the academic setting, an<li>d</li>
will reflect how your own life experiences and background shapes your practices and commitments as an instructor, mentor, researcher, and scholar<li>.</li></ul><br>
<div></div>
<div><i>
For more information, please contact</i> : Rosemary Samia (Rosemary.Samia@umb.edu) Nursing Simulation Faculty Search Chair. The positions will remain open until filled.</div><br>
<div></div>
<div>
UMass Boston expects to pay within an approximate range between $91,500 and $92,500 for this position.</div>
<div>
<div>The specific pay for this position will be determined by the University based on the consideration of all relevant factors when and if it decides to extend an offer of employment.
</div></div><div>UMass Boston is committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact HR@umb.edu or 617-287-5150.</div><br>
<div></div>
</div>
<div><b>Applications close:</b></div></div><p></p>

Simulation Lab Faculty A

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