applications scientist

Cytiva

<div>Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Cytiva, 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.
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.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us &ndash; working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System which makes everything possible.
The Bioprocess Applications Scientist is responsible for providing training, troubleshooting, and technical support to Cytiva customers and associates around the use of Cytiva&rsquo;s industry-leading chromatography resins, columns, and systems at pilot and production scale. This is accomplished through meetings, classroom lectures, and laboratory activities.
This position reports to the North America Resin Modality Leader and is part of the North American Resin Modality team. This is an onsite role that will be in Marlborough, Massachusetts, USA.
What you will do:<ul><li>
You will be responsible for the day-to-day operations of Cytiva&rsquo;s large-scale bioprocess applications laboratory in Marlborough, Massachusetts.</li><li>
You will be part of the North American Resin Modality team providing technical support, training, and troubleshooting for chromatography technologies used by Cytiva&rsquo;s customers in the large-scale purification of therapeutic biologics.</li><li>
You will also interact with and support sales, marketing, field service, Fast Trak training, Bioprocess R&amp;D, and other parts of the organization to help position Cytiva chromatography technologies during pre- and post-sales activities that translate technical applications consultation into defending and expanding market share.</li></ul>
Who you are:<ul><li>
20+ years of experience in the large-scale cGMP purification of biologics &ndash; monoclonal antibodies, recombinant proteins, nucleic acids, and viral vectors.</li><li>
A degree in a life sciences discipline that includes coursework in biochemistry, molecular biology, and analytical methods.</li><li>
Strong background in basic chromatography theory and practice including column packing techniques, resin and membrane technologies, process development, scale-up, and automated systems. Experience with Cytiva&rsquo;s chromatography product portfolio is a plus.</li><li>
Hands-on practical experience with large-scale chromatography equipment. Expertise with Cytiva&rsquo;s &Auml;KTA process&trade; systems, chromatography columns (BPG, Chromaflow&trade;, Axichrom&trade;) and UNICORN&trade; software is preferred.</li><li>
Demonstrated ability to contribute and communicate in a multi-disciplinary team environment across geographies, departments, and disciplines.</li></ul>
Travel, Motor Vehicle Record &amp; Physical/Environment Requirements:<ul><li>
This is a customer facing role, and many customer interactions will not require travel. However, some travel to customer sites within North America may be required from time to time. Also, corporate internal meetings may require occasional international travel with the approval of the hiring manager.</li><li>
Travel to customer sites within reasonable driving distance from Cytiva&rsquo;s Marlborough site and the use of rental cars for trips involving flights to other destinations will require a valid driver&rsquo;s license with an acceptable driving record.</li><li>
Ability to safely lift 50 lbs. and move wheeled equipment up to 3000 lbs. with assistance is required.</li><li>
Familiarity with laboratory chemical and safety compliance practices and personal protective equipment is required.</li></ul>
It would be a plus if you also possess previous experience in:<ul><li>
Developing and delivering basic and advanced training to technical and non-technical audiences.</li><li>
Customer service, sales, or product support.</li></ul>
Cytiva, 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.
The annual salary range for this role is $135,000 - $160,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
This job is also eligible for bonus/incentive pay.
We offer 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&rsquo;s sole discretion, consistent with the law.
#LI-MB3
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.
For more information, visit www.danaher.com.</div>

Bioprocess Applications Scientist

MaxCyte

<div>Description:

The Technical Applications Scientist is a remote, customer-facing scientist who provides first-line technical and troubleshooting support for MaxCyte&rsquo;s Scalable Transfection Systems across multiple application areas&mdash;including cell therapy, protein production/expression, genome editing, bioproduction, and discovery research in Pharma, Biotech, Academia, and Government accounts.
Operating primarily via video conference, phone, and email, this role resolves customer cases, delivers protocol guidance, analyzes data, and coordinates with Field Applications Scientists (FAS), Field Service Engineers (FSE), Product Management, Customer Support, and Sales to ensure rapid, high-quality outcomes.
The Technical Applications Scientist maintains fluency across MaxCyte&rsquo;s products and services, guiding customers to the right solutions and owning cross-functional coordination until the issue is fully resolved. This role serves as the front line for the Ask an Expert phone line and email channel, providing timely, accurate responses and exceptional customer experience.
Preferred Locations: UK
Frontline Support (Remote): Own inbound requests end-to-end (case creation ? diagnosis ? resolution). Provide protocol guidance across pre- and post-electroporation; answer scientific/technical inquiries; analyze customer data and recommend next steps.
Applications &amp; Troubleshooting:<ul><li>
Optimize pre- and post-transfection parameters and workflows to improve viability, expression/editing efficiency, and reproducibility across diverse cell types (primary, immortalized, suspension/adherent) and payloads (mRNA, plasmid, RNP, protein).</li><li>
Integrate MaxCyte technology and SeQure Services into customer workflows; diagnose issues and recommend solutions.</li><li>
Analyze customer data and recommend next steps; guide scale-up and tech transfer to manufacturing-relevant workflows.</li><li>
Provide scientific consultation on cell models (e.g., primary/T cells), payloads (RNP, mRNA, plasmid), delivery parameters, and post-edit workflows.</li></ul>
Triage &amp; Escalation: Reproduce issues where possible and escalate to FAS/Service/R&amp;D with clear hypotheses, logs, and requested experiments; manage timely updates to customers.
Customer Enablement: Deliver virtual trainings/office hours; create SOPs, quick-start guides, and troubleshooting checklists; contribute to a searchable knowledge base.
Voice of Customer: Capture recurring issues, competitive signals, and emerging use cases; fed insights to Product/Marketing for roadmap and content improvements.
Continuous Improvement: Propose fixes to processes/content; contribute to remote diagnostics and self-service resources that reduce time-to-resolution.
Communication &amp; Enablement:<ul><li>
Occasionally present technical and product content at conferences, seminars/webinars, and customer visits.</li><li>
Contribute to application notes, posters, and scientific/marketing materials.</li><li>
Share technical updates internally and contribute to team/department meetings.</li></ul>
Documentation &amp; Follow-Through:<ul><li>
Maintain accurate CRM/case notes, attachments, and outcomes; meet SLAs for first response and time-to-resolution</li><li>
Record interactions, experimental designs, results, and outcomes in CRM; ensure timely follow-up and resolution to maintain high customer satisfaction</li></ul>
Requirements:
<ul><li>MS or PhD in bioengineering, cell biology, molecular biology, biochemistry or related field.</li><li>
Recent, hands-on mammalian cell culture experience (primary and/or T cells a plus) and 3+ years in one or more: transfection/electroporation, genome editing (e.g., CRISPR/Cas9), protein/viral expression, cell therapy/process development, or high-throughput cell-based workflows. Practical knowledge of on-/off-target assessment workflows and analytics is a strong plus.</li><li>
Strong troubleshooting and experimental design; confident interpreting and communicating complex data to varied audiences.</li><li>
Customer-facing experience (FAS, applications, technical support, or similar) preferred. Robust troubleshooting skills.</li><li>
Confident communicator&mdash;able to present to scientific and executive audiences; strong writing and documentation discipline.</li><li>
Customer-centric, organized, and proactive; able to manage multiple cases concurrently and follow through to closure.</li><li>
Core competencies: Scientific rigor with a solution-oriented, hands-on mindset. Clear, audience-appropriate communication and teaching. Cross-functional collaboration (Sales, Product, Service, Marketing). Organization, ownership, and reliable follow-through.</li><li>
Familiarity with CRM/case systems (e.g., Salesforce Service Cloud, Zendesk), remote meeting platforms, and standard analysis tools, and documentation best practices.</li><li>
Entrepreneurial mindset: Proven ability to thrive in an entrepreneurial, high-growth environment, demonstrating strategic thinking, problem-solving, and self-motivation.</li><li>
Customer-centric leadership: Builds and maintains strong customer relationships, demonstrating passion for the company&rsquo;s mission and solutions.</li><li>
Ability to travel up to 10% within the country, occasional conferences/customer visits outside territory.</li><li>
Work Setup: Remote with occasional onsite customer engagements; close alignment with Sales and the global FAS / FSE team.</li></ul></div>

Technical Applications Scientist – UK

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon&rsquo;s Artificial General Intelligence (AGI) organization is developing a next-generation web search system to support RAG applications across Amazon. Web search is a foundational capability for enabling AGI products across Amazon. We are looking for a Applied Scientist with expertise in information retrieval (IR), content understanding, and natural language processing (NLP) to join the team! 
 
If you are looking for an opportunity to develop innovative solutions to deep technical problems in web-scale IR, having a massive customer impact, this might be the role for you! As a Applied Scientist, you will work with smart, passionate colleagues in a fast-paced environment. You will invent, develop, and help deploy novel, scalable algorithms to advance the state-of-the-art in our IR stack. You will keep up with relevant research in the field of IR and publish your work in top-tier conferences. You will develop and help lead the execution of multi-year research roadmaps, enabling the team to focus on the right technical challenges to delight our customers. 
 
Key job responsibilities 
As an Applied Scientist, you will apply scientific rigor to your work. You will deliver incrementally, setting up and executing experiments informed by rigorous failure space analysis of prior experiments. You have a knack for writing clear, succinct and informative reports of your experiments. You collaborate and seek guidance from other scientists on your team to define the next experiments. You collaborate closely with engineers to bring your innovations into production. You will continuously with customers and stakeholders to simplify and adapt to deliver for our customers. You will develop state-of-the-art web search technology, including training novel retrieval and ranking models, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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><li>Experience building machine learning models or developing algorithms for business application</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>PhD in computer science, machine learning, engineering, or related fields</li><li>3+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience</li><li>Publications at peer-reviewed conferences (e.g. SIGIR, WWW, CIKM, WSDM, ACL, EMNLP, NAACL, NeurIPS, ICLR)</li><li>In-depth working knowledge of LLMs</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
 
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, AGI Info - Web Information Systems

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

Microsoft

<div>
 
 Overview
 
 
 
 Are you an
 
 Applied Scientist II
 
 passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of applied scientists and engineers working at the forefront of generative AI to shape the future of productivity tools.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Applied Research &amp; Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications.
 </li>
 <li>
 Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features.
 </li>
 <li>
 Experimentation &amp; Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction.
 </li>
 <li>
 Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <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)
 </li>
 <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)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 2+ years of industry experience in applied machine learning or data science roles.
 </li>
 <li>
 Proficiency in Python and ML libraries such as PyTorch or TensorFlow.
 </li>
 <li>
 Experience developing and evaluating generative AI models.
 </li>
 <li>
 Familiarity with NLP techniques and content understanding.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 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:
 
 
 <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>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Solid verbal and written communication skills to explain complex technical concepts to diverse audiences.
 </li>
 <li>
 Ability to tackle open-ended problems and deliver practical, scalable solutions.
 </li>
 <li>
 Experience deploying ML models in production environments.
 </li>
 <li>
 Exposure to full product lifecycle from prototyping to deployment and iteration.
 </li>
 <li>
 Contributions to research publications, patents, or open-source projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist II

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.
 
 
As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. 
 
Key job responsibilities 
<ul><li>Build, adapt and evaluate ML models for life sciences applications</li><li>Collaborate with a cross-functional team of ML scientists, biologists, software engineers and product managers</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD in computer science, machine learning, engineering, or related fields</li><li>Experience with programming languages such as Python, Java, C++</li><li>Expert knowledge of machine learning and deep learning; experience in applying ML to protein biology.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Expert knowledge of protein biology and design.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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, Special Projects

Thermo Fisher Scientific

<div>Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
About Company: 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.
Role &amp; Responsibilities:
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.<ul><li>
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.</li><li>
Provide effective solutions in design, development, optimization, consultation, technical support, and troubleshooting of Single-Use systems.</li><li>
Present top-quality technical demonstrations to enhance Commercial Sales initiatives.</li><li>
Lead discussions on technical product specifications and applications with clients and prospects.</li><li>
Support with customer surveys, inquiries, User Requirements Specifications (URS), and product briefs.</li><li>
Conduct process mapping activities and recommend process improvements using Thermo Fisher Scientific's technologies.</li><li>
Apply inter-company experts and resources to suggest technical applications and process development studies.</li><li>
Inform Marketing and Product Management of new technologies that could boost our existing range.</li><li>
Provide the necessary voice of the customer (VOC) to Product Management for all products and services.</li><li>
Keep abreast of market trends, competitors, and innovations, ensuring relevant information is shared within the organization.</li><li>
Lead engaging training sessions and workshops focusing on the applications and capabilities of Single-Use products and systems.</li><li>
Assist in Commercial Sales operations through offering technical assistance to customers and troubleshooting products.</li><li>
Support in addressing customer concerns and inquiries by furnishing essential technical information and feedback to pertinent departments.</li><li>
Aim to surpass performance goals related to Knowledge Culture Seminars, GEMBA Walks, Demos/Evaluations, New Product Introductions (NPI), and Trainings.</li></ul>
Minimum Requirements/Qualifications:<ul><li>
Postgraduate degree in Life Sciences, Biotechnology, or Biosciences with 6-12 years of relevant experience in the Bioprocess Industry.</li><li>
Detailed working knowledge of Single Use Systems and technologies.</li><li>
Good understanding of processes and applications used within the Bio-pharmaceutical, Biotech, and vaccine industries.</li><li>
Proven operational hands-on and technical experience with Single Use technologies.</li><li>
Comprehensive knowledge of cGMP and other regulatory guidelines.</li><li>
Excellent communication and presentation skills.</li><li>
Ability and willingness to work across professional and cross-functional teams.</li><li>
Preferred project management skills with the ability to multi-task effectively.</li><li>
Highly motivated, self-directed, and capable of working on multiple projects with minimal supervision.</li><li>
Excellent team-working skills.</li><li>
Above-average computer skills, including experience with Microsoft Office (Word, Excel, PowerPoint, and Project).</li><li>
Willingness to travel up to 60% of the time and operate from a remote home-base location.</li></ul><h3 class="jobSectionHeader">
Benefits:</h3><h3 class="jobSectionHeader">
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!</h3>
 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</div>

Field Application Scientist - Single Use Division

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