applications scientist

Rigaku

<div>
 <strong>
  Summary
 </strong>
 <strong>
  :
  <br/>
  <br/>
 </strong>
 Rigaku&rsquo;s Semiconductor Metrology Division is seeking an
 <strong>
  R&amp;D Applications Scientist
 </strong>
 to drive the development of next-generation applications and bridge the gap between R&amp;D and field support. This role focuses on
 <strong>
  forward-looking application development
 </strong>
 ,
 <strong>
  first-of-a-kind solutions
 </strong>
 , and
 <strong>
  customer-centric input into product roadmaps
 </strong>
 , supporting Rigaku&rsquo;s long-term success in emerging and evolving semiconductor markets.
 <br/>
 <br/>
 This position will work closely with the R&amp;D, Marketing, and Applications Support teams, with limited but essential travel (~15%) to support strategic customer engagements and demonstration efforts.
 <br/>
 <br/>
 <strong>
  Responsibilities
 </strong>
 <strong>
  :
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and validate first-of-a-kind applications for priority customers and strategic demos, often on pre-release tools or significant hardware/software upgrades.
  </li>
  <li>
   Lead the creation and testing of proof-of-concept approaches for immature or future applications, especially in alignment with long-term customer and industry trends (e.g., 3D-DRAM, advanced logic, or metrology for emerging architectures).
  </li>
  <li>
   Serve as a bridge between customer-facing Applications team and R&amp;D, gathering and synthesizing input to shape product development roadmaps.
  </li>
  <li>
   Collaborate with engineering and product teams to influence and test pre-release features, ensuring readiness for broader deployment.
  </li>
  <li>
   Develop and document best-known methods (BKMs) and training materials for new applications and tools, facilitating eventual handoff to the regional Applications team.
  </li>
  <li>
   Monitor and assess industry trends, proactively identifying gaps and opportunities in Rigaku's application portfolio.
  </li>
  <li>
   Provide targeted, high-impact support for key initial tool installations or beta site deployments, particularly where advanced applications are required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ph.D. or M.S. in Materials Science, Physics, Chemistry, or a related field.
  </li>
  <li>
   Minimum of three years of experience in semiconductor metrology or process engineering, with proven contributions to application or technology development.
  </li>
  <li>
   Strong understanding of X-ray analytical techniques such as HRXRD, XRR, XRF, and CD-SAXS.
  </li>
  <li>
   Familiarity with semiconductor manufacturing trends and roadmap drivers (e.g., HVM challenges, advanced packaging, memory scaling).
  </li>
  <li>
   Experience working with pre-commercial or beta tools or leading early-phase application development.
  </li>
  <li>
   Strong analytical and experimental design skills; comfortable working with ambiguity in early-stage work.
  </li>
  <li>
   Effective communicator who can engage with both technical development teams and customer stakeholders.
  </li>
  <li>
   Comfortable managing priorities across multiple stakeholders in a dynamic, collaborative environment.
  </li>
  <li>
   U.S. Citizenship or U.S. Permanent Resident status required.
  </li>
  <li>
   Willingness to travel up to 15%, including limited international travel.
  </li>
 </ul>
</div>


Application Scientist, R&D Semiconductor (53129)

Microsoft

<div><div>We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications.</div><div><br>
We are looking for an <b>Applied Scientist II</b> who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention.<br>
<br>
At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products.</div><div></div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div>
As a Applied Scientist II, you will:</div><ul><li>
Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability.</li><li>
Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications.</li><li>
Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents.</li><li>
Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement.</li><li>
Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution.</li><li>
Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability.</li><li>
Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement.</li><li>
Stay ahead of emerging trends in AI/ML.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field</li><li>
OR equivalent experience.</li></ul></li><li>
Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems.<br>
</li><li>
Experience with ML techniques such as deep learning, predictive modelling, time series data analysis.<br>
</li><li>
Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams.</li></ul><div><b>
Other Requirements:</b></div><div><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</div><ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction.</li><li>
Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems.</li><li>
Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions.</li><li>
Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management.</li><li>
Effective verbal, visual and written communication skills</li></ul><div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Applied Scientist II

Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Office, Various outside weather conditions<p></p><p><b>
Job Description</b></p><p></p><p><b>
About Company:</b> Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies &amp; Services makes it easier for customers.</p><p></p><p><b>
Role &amp; Responsibilities:</b></p><p>
Join our Single Use Division as a Field Application Scientist to integrate brand new technology into field operations, providing top-tier technical support and excellent customer service to help clients reach their goals by optimizing Single-Use Systems technologies.</p><ul><li><p>
Acting as primary field technical interface between the Commercial Sales team and clients, with a specific emphasis on Single-Use products such as BioProcess Containers (BPCs), Single-Use Bioreactors, Fermenters, and Mixing systems.</p></li><li><p>
Provide effective solutions in design, development, optimization, consultation, technical support, and troubleshooting of Single-Use systems.</p></li><li><p>
Present top-quality technical demonstrations to enhance Commercial Sales initiatives.</p></li><li><p>
Lead discussions on technical product specifications and applications with clients and prospects.</p></li><li><p>
Support with customer surveys, inquiries, User Requirements Specifications (URS), and product briefs.</p></li><li><p>
Conduct process mapping activities and recommend process improvements using Thermo Fisher Scientific's technologies.</p></li><li><p>
Apply inter-company experts and resources to suggest technical applications and process development studies.</p></li><li><p>
Inform Marketing and Product Management of new technologies that could boost our existing range.</p></li><li><p>
Provide the necessary voice of the customer (VOC) to Product Management for all products and services.</p></li><li><p>
Keep abreast of market trends, competitors, and innovations, ensuring relevant information is shared within the organization.</p></li><li><p>
Lead engaging training sessions and workshops focusing on the applications and capabilities of Single-Use products and systems.</p></li><li><p>
Assist in Commercial Sales operations through offering technical assistance to customers and troubleshooting products.</p></li><li><p>
Support in addressing customer concerns and inquiries by furnishing essential technical information and feedback to pertinent departments.</p></li><li><p>
Aim to surpass performance goals related to Knowledge Culture Seminars, GEMBA Walks, Demos/Evaluations, New Product Introductions (NPI), and Trainings.</p></li></ul><p></p><p><b>
Minimum Requirements/Qualifications:</b></p><ul><li><p>
Postgraduate degree in Life Sciences, Biotechnology, or Biosciences with 6-12 years of relevant experience in the Bioprocess Industry.</p></li><li><p>
Detailed working knowledge of Single Use Systems and technologies.</p></li><li><p>
Good understanding of processes and applications used within the Bio-pharmaceutical, Biotech, and vaccine industries.</p></li><li><p>
Proven operational hands-on and technical experience with Single Use technologies.</p></li><li><p>
Comprehensive knowledge of cGMP and other regulatory guidelines.</p></li><li><p>
Excellent communication and presentation skills.</p></li><li><p>
Ability and willingness to work across professional and cross-functional teams.</p></li><li><p>
Preferred project management skills with the ability to multi-task effectively.</p></li><li><p>
Highly motivated, self-directed, and capable of working on multiple projects with minimal supervision.</p></li><li><p>
Excellent team-working skills.</p></li><li><p>
Above-average computer skills, including experience with Microsoft Office (Word, Excel, PowerPoint, and Project).</p></li><li><p>
Willingness to travel up to 60% of the time and operate from a remote home-base location.</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Benefits:</b></h3><h3 class="jobSectionHeader"><b>
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!</b></h3><p>
 ThermoFisher Scientific is an EEO/Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status</p></div><p></p>

Field Application Scientist - Single Use Division

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking for an opportunity to build an LLM-based enterprise-grade, highly available, large scale solution? Does it excite you to find patterns and build generic, composable solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We tackle pressing challenges like workforce shortage. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties, AE extends Alexa's reach to premium third-party devices, seamlessly integrating with household names like Samsung, LG, and Sonos, thus amplifying its impact across diverse ecosystems.<br>
<br>
AE team is looking for a passionate, highly skilled and inventive Applied Scientist, with a strong machine learning background, to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases.
<br>
<br>
As an Applied Scientist in the team, you will play a critical role in driving the development of conversational assistants, in particular those based on Large Language Models (LLM's), that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>You will analyze, understand and improve user experiences by leveraging Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence</li><li>You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use cases</li><li>Build and measure novel online &amp; offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints</li><li>Create, innovate, and deliver deep learning, policy-based learning, and/or machine learning-based algorithms to deliver customer-impacting results</li><li>Perform model/data analysis and monitor metrics through online A/B testing</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Alexa Enterprise

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
interviewing tips on Instagram, and discover projects we're solving on our Blog.<br>
<br>
About the Role<br>
<br>
We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of recommendations, search, ranking and information retrieval. As an Applied Scientist on Twitch's Community team, you will use ML to help viewers find streamers and communities they&rsquo;ll love. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.<br>
<br>
You will report to the Applied Science Manager on the Community Discovery Team.<br>
<br>
You can work in San Francisco, CA or Seattle, WA.
<br>
<br>
You Will<br>
<br>
<ul><li>Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.</li><li>Collaborate with senior scientists and engineers to deploy ML code in production.</li><li>Collaborate with our Product and Engineering teams to work backwards from customer discovery problems, in order to determine the ML solution (algorithm and pipeline) that will have the biggest impact on our user base in the real world.</li><li>Participate in the scientific community at Twitch, Amazon, and the broader ML and risk community.</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience. We welcome applicants with non-traditional backgrounds. We welcome applicants with non-traditional backgrounds.</li><li>Hands-on experience with predictive modeling and analysis to solve real-world problems.</li><li>Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>MS/PhD in relevant fields or a Degree with a specialization in Machine Learning.</li><li>Experience shipping your models to production.</li><li>1+ years of experience working in recommendations or search.</li><li>Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.</li><li>Familiarity with Twitch, its business, and its community.</li></ul><br>
Twitch 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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist

<div></div><div><h1 class="jobSectionHeader"><b>Applied Scientist II</b></h1><div><div><p>
Cairo, Egypt</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 16, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1876910</b></div></div></div><div><div><div>
Work site</div><div><b>
4 days / week in-office</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Join the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artificial intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you.<br>
<br>
We are seeking an <b>Applied Scientist II</b> who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping.<br>
<br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div>
Required Qualifications:</div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)<br>
<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)<br>
</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.<br>
</li></ul></li><li>
2+ years of experience with machine learning, data analysis, and modeling.</li></ul><div><b>
Other Requirements:</b><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</div><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><br>
<ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)<br>
<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)<br>
</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)<br>
</li><li>
OR equivalent experience.<br>
</li></ul></li><li>
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).<br>
</li><li>
Experience in the shopping domain and recommendation systems.</li></ul><div></div><div><br>
#MicrosoftAI #Shopping #GenerativeAI #LLM</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
Expertise Development: Gain deep knowledge of our recommendation systems, platforms, and domains, staying updated with the latest industry trends and applied technologies in ML, AI and LLMs to Recommendations.</li><li>
Mentorship and Team Support: Reinforce a positive environment, support mentorship, and assist with onboarding of early in career team members.</li><li>
Documentation and Ethics: Document work in progress, share findings to promote innovation, present to stakeholders, and follow ethics and privacy policies during research processes.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Phenomenex & Agela

<p></p><div><p>At Phenomenex, one of Danaher&rsquo;s 15+ operating companies, our work saves lives&mdash;and we&rsquo;re all united by a shared commitment to innovate for tangible impact.</p><p></p><p>
You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher&rsquo;s system of continuous improvement, you help turn ideas into impact &ndash; innovating at the speed of life.</p><p></p><p>
Phenomenex isn&rsquo;t your typical scientific company. Founded nearly 40 years ago, Phenomenex is a global technology leader committed to developing novel analytical chemistry solutions that solve the separation and purification challenges of researchers, advancing the future of scientific analysis and investigation, ensuring the quality of essentials like your food, water, shampoo, and even cold medication. Be part of our global success and together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.</p><p>
Learn about the Danaher Business System which makes everything possible.</p><p></p><p><i>
We are currently seeking an Application Scientist &ndash; Pharmaceutical, who will be responsible for designing and performing method development support for pharmaceutical applications in the Generic Pharmaceutical market. This is a hands-on, in laboratory role located in Bengaluru, India.</i></p><p></p><p>
This position reports to the <i>Sr. Manager, Tech. Support and Global Applications </i>and is part of the <i>Applications team </i>located in <i>Bengaluru.</i></p><p></p><p><b>
In this role, you will have the opportunity to:</b></p><p></p><ul><li><i>
Work cross-functionally with R&amp;D, Sales, Operations, and Marketing to develop HPLC/UHPLC applications to support strategic marketing efforts in the Generic Pharmaceutical industry</i></li><li><i>
Collaborate with colleagues in Sales and Marketing to generate and author technically sound and practical marketing literature</i></li><li><i>
Support customers via consultations as well as in lab development support, including chiral screens.</i></li></ul><p></p><p><b>
The essential requirements of the job include:</b></p><p></p><ul><li><i>B.Sc in Chemistry/ B.Pharm with 7 years of HPLC/UHPLC experience in analytical method development</i><b><i> OR</i></b><i> M.Sc. in Chemistry /M.Pharm with 5 years of HPLC/UHPLC experience in analytical method development.</i></li><li><i>Prior experience in an analytical R&amp;D laboratory is essential, and it is preferred to have experience in chiral method development.</i></li><li><i>Experience developing, HPLC-UV/DAD/ELSD, UHPLC-UV, and other assays for pharmaceutical formulations (ideally also involving sample preparation).</i></li><li><i>Thorough understanding of stationary phase characteristics and method development parameters like Mobile phase, pH, etc.</i></li><li><i>Excellent written and oral communication skills, including ease with public speaking, along with interpersonal and organizational skills.</i></li><li><i>Willing to relocate (if necessary) and willing to travel up to 30%.</i></li></ul><p></p><p>
It would be a plus if you also possess previous experience in:</p><ul><li><i>Strong problem solving and analysis skills</i></li><li><i>Ability to adapt to and handle competing departmental needs.</i></li><li><i>Experience with sample preparation techniques such as Solid Phase Extraction (SPE).</i></li></ul><p></p><p>
Phenomenex, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.</p><p></p><p>
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.</p><p></p><p>
For more information, visit www.danaher.com.</p></div>

Application Scientist – Pharmaceutical

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