product scientist

Unilever

<div>Job Title: Product Development Scientist
Location: Mumbai HURC
Function: R&amp;D
BUSINESS CONTEXT
We are the Global Wellbeing (H&amp;W) team at Unilever. We are a start-up focused on one of Unilever&rsquo;s largest growth opportunities &ndash; the &euro;140bn Health &amp; Wellbeing space defined by Vitamins, Minerals, and Supplements (VMS).
We work in an agile and entrepreneurial way, collaboratively within the team and with our Unilever colleagues around the world. We work in a project based networked way where everyone needs to be able to take a step back and think strategically as well as rolling up their sleeves and get their hands dirty, to be entrepreneurial and experiment as well as bringing in the best of Unilever and work the structures of a large company, to take charge and lead as well as follow and support others.
Unilever&rsquo;s Wellbeing Group holds the company&rsquo;s functional nutrition brands and the portfolio of brands that includes Equilibra (Italy) and US acquired brands Olly, Liquid IV, Smarty Pants, Welly and most recently, Onnit. Each brand is completely unique and focused on giving consumers superior experiences within their respective spaces and target segments. For the acquired businesses, we are committed to continue growing this strategic business for Unilever through international expansion of the acquired brands, utilizing Unilever&rsquo;s scale and network in the markets.
JOB PURPOSE
The Product Development Scientist, Wellbeing Collective will be responsible for supporting the development of the best-in-class formulations to aid the growth ambition for the Wellbeing Collective &ndash; specifically in relation to new product development and new market entry and the establishment of an external ecosystem technical partners/ capability. The role will have heavy cross functional interactions and coordination across Marketing, Supply chain, SEAC, Quality, Regulatory and external Contract labs &amp; Raw material suppliers to ensure timely delivery of the objectives.
The role will be required to provide technical support related to formulation development and would cover a broad range of challenges &ndash; from designing consumer preferred robust formulas, to developing raw material and finished product spec, scaling up by leveraging external Contract labs and Collaborative manufacturers.
KEY ACCOUNTABILITIES<ul><li>
Formulation design work for innovations &amp; cost saving initiatives to deliver superior and consumer winning products OTIF.</li><li>
Work seamlessly with other R&amp;D functions (packaging, CTI, processing, regulatory teams) to ensure delivery on assigned projects.</li><li>
Ensuring statutory regulatory &amp; legal compliances for products &amp; process.</li><li>
Responsible for identifying and establishing appropriate technology for manufacturing products to specification at lab-scale and pilot-scale.</li><li>
Responsible for scaling up to factory with relevant transfer of technology documentation and training factory team.</li><li>
Responsible for specification of formulation, process, pack, and Quality Assurance regimes to support / enforce these specs agreed technical action standards.</li><li>
Conduct shelf-life studies to establish shelf-life of new products and/or intervene through formulation/recipes to enhance shelf-life.</li><li>
Use appropriate analytical techniques (either existing or develop new techniques) to characterize key attributes of the product.</li><li>
Appreciating and engaging with marketing team constantly for insights and translating them into product properties &amp; performance.</li><li>
Managing customer complaints (technical aspect) and appreciating their concerns.</li><li>
Anticipate assessment and minimization of environmental, safety, regulatory, PR and competitive challenges.</li><li>
Build and maintain strong networks with cross functional (Brand, CMI, SC, CQA etc) teams.</li></ul>
SKILL REQUIREMENTS<ul><li>
Formulation Expertise: A strong understanding of formulation principles, theoretical and applied, to drive innovation and sustainability agenda</li><li>
Communication Skills: Ability to clearly communicate technical information to non-technical teams and manage stakeholders in project meetings.</li><li>
Demonstrating calculated risk-taking ability with a rigor to maximize learning with minimum investment of people, money and time.</li><li>
Collaboration and communication: Need to collaborate with key core members, and seek input and navigate the project fully with cross functional team.</li><li>
A skilled and empathetic person who approaches challenges with flexibility, adaptability, and a focus on long-term impact.</li><li>
Prioritization: Demonstrating work-load capability, manage priorities of multiple projects running across the business.</li><li>
Flexible with work timings to collaborate with global stakeholders across various time zones.</li><li>
Business acumen, agility, growth mindset, Consumer and Customer Love are critical competencies for this role.</li></ul>
 QUALIFICATION AND EXPERIENCE RANGE<ul><li>
Master&rsquo;s degree (Pharmaceutics/ Industrial Pharmacy/ Food science) would be preferred.</li><li>
6+ years&rsquo; experience in formulation development or technology development (Dietary supplement/OTC products experience would be preferred).</li><li>
Good understanding of Product development principles &ndash; formulation development for consumer-friendly ingestible dosage forms such as Functional Powders, Mouth-dissolving films, Effervescent tablets etc., material understanding, product scale up, ingredient sources and GMP.</li><li>
Excellent written and oral communication skills, ability to work well with others, and ability to plan and execute work independently with minimal supervision. Able to interact effectively with the most senior levels of management both internally and externally</li><li>
Ability to support projects with multiple external parties including contractors, research partners, manufacturing facilities, etc.</li></ul>
Our commitment to Equality, Diversity &amp; Inclusion
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. 
 
&quot;All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent&mdash;please verify before proceeding.&quot;</div>

Product Development Scientist

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience plus a Master's degree).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).</li>
<li>Experience with developing at least one deep learning model for business impact Experience debugging throughput and latency issues in AI.</li>
<li>Experience handling large-scale data transformation pipelines for batch inference of ML models.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

In this role, you will partner with teams across the company to apply Google&rsquo;s best Data Science techniques to Google&rsquo;s biggest enterprise opportunities. You will partner with Research, Core Enterprise ML and Machine Learning (ML) Infrastructure teams to build solutions for the enterprise.
The Googler Technology and Engineering (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, IT support and internal tooling with Artificial Intelligence (AI) and advanced analytics, enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build cross-functional services for use across Corp Engineering, and educate product teams on advanced analytics and ML.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Define and report Key Performance Indicators and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Work with PM, User Experience (UX), and Engineering to contribute to metric-backed annual OKR setting. 
</li>
<li>Come up with hypothesis to enhance performance of AI products on offline and online metrics through research on techniques around prompt engineering, RAG, supervised finetuning, in-context learning, dataset augmentation, tool-calling efficacy, planning capabilities and feedback loop with reinforcement learning. 
</li>
<li>Design and develop ML strategies for data enrichment such as autoencoder based latent variables, complex heuristics, etc. 
</li>
<li>Evolve variance reduction and simulation strategies to increase reliability of experiments with small sample sizes. 
</li>
<li>Convert business problems into unsupervised and supervised ML modeling problems, build these model prototypes from scratch to justify business impact hypothesis.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Product Data Scientist, Technology and Engineering

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience plus a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
 </li>
 <li>
 Experience with developing at least one deep learning model for business impact Experience debugging throughput and latency issues in AI.
 </li>
 <li>
 Experience handling large-scale data transformation pipelines for batch inference of ML models.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 In this role, you will partner with teams across the company to apply Google&rsquo;s best Data Science techniques to Google&rsquo;s biggest enterprise opportunities. You will partner with Research, Core Enterprise ML and Machine Learning (ML) Infrastructure teams to build solutions for the enterprise.
 
 
 The Googler Technology and Engineering (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, IT support and internal tooling with Artificial Intelligence (AI) and advanced analytics, enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build cross-functional services for use across Corp Engineering, and educate product teams on advanced analytics and ML.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define and report Key Performance Indicators and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Work with PM, User Experience (UX), and Engineering to contribute to metric-backed annual OKR setting.
 </li>
 <li>
 Come up with hypothesis to enhance performance of AI products on offline and online metrics through research on techniques around prompt engineering, RAG, supervised finetuning, in-context learning, dataset augmentation, tool-calling efficacy, planning capabilities and feedback loop with reinforcement learning.
 </li>
 <li>
 Design and develop ML strategies for data enrichment such as autoencoder based latent variables, complex heuristics, etc.
 </li>
 <li>
 Evolve variance reduction and simulation strategies to increase reliability of experiments with small sample sizes.
 </li>
 <li>
 Convert business problems into unsupervised and supervised ML modeling problems, build these model prototypes from scratch to justify business impact hypothesis.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products (SP) team is looking for a Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of ML and GenAI models. 
 
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! 
 
As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer&rsquo;s needs, and translate it into actionable plans for our team of applied scientists, and engineers. 
 
Key job responsibilities 
<ul><li>You define technical and scientific strategies to make progress on difficult scientific problems that are still unsolved at Amazon.</li></ul> 
<ul><li>Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand.</li></ul> 
<ul><li>You invent new scientific techniques and paradigms to address our customers' needs and business problems.</li></ul> 
<ul><li>You are a role model and help grow other scientists in the organization.</li></ul> 
<ul><li>You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls.</li></ul> 
<ul><li>You have 10+ years of research experience after a PhD degree.</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
 
 
Within Sponsored Product and Brands, the Demand Utilization Venture team researches and deploys Generative AI and Reinforcement Learning solutions to improve our understanding of shoppers needs, our understanding of advertisers intent, and how we find the right sponsored products for the right shopper in the right search context. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD or equivalent in Computer science/Math or related field.
</li><li>Experience in building complex, real-time systems using GenAI, with successful delivery to customers.</li><li>Computer Science fundamentals in data structures, algorithm design and complexity analysis.
</li><li>Ability to develop machine learning platform strategy in the domain of recommender systems.</li><li>Ability to develop a GenAI strategy for recommender systems.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2>
10+ years of relevant, broad research experience after PhD degree or equivalent.
 
Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. 
Proficiency in programming for algorithm and code reviews.
 
Strong core competency in mathematics and statistics.
 
Track record of successful projects in algorithm design and product development.
 
Publications at top-tier peer-reviewed conferences or journals.
 
Experience with mentorship and/or management of senior scientists and engineers.
 
Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data. 
Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
 
Ability to take a project from requirements gathering and design to actual product launch. 
 
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 $179,000/year in our lowest geographic market up to $309,400/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>

Principal Applied Scientist, Sponsored Products and Brands

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
 
 
The principal scientist in this position will focus on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. Our team utilizes leading-edge science and engineering technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational interfaces. We also empower advertisers to reach shoppers, using their own voice to explain how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields. 
 
Key job responsibilities 
As a Principal Applied Scientist for the team, you will drive appropriate technology choices for the customers and the business, lead the way for continuous innovation, and shape the future of e-commerce. You will have opportunity to apply your deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art GenAI models to production to power novel conversational experiences. You will stay abreast of the latest developments in the space of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will contribute to defining a long-term science vision for our advertising business in the area of conversational shopping and beyond.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD in Computer Science, Statistics or related field.</li><li>10+ years of applied ML experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.</li><li>Hands-on experience with designing and prototyping AI solutions for real world applications.</li></ul><h2 class="jobSectionHeader"> 
PREFERRED QUALIFICATIONS</h2><ul><li>Research publications or patents in generative AI technologies</li><li>Experience with natural language processing and generative model architectures</li><li>Background in advertising technology or e-commerce platforms</li><li>Demonstrated track record of innovative AI solution development</li><li>Experience with advertising systems and applications.</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 $179,000/year in our lowest geographic market up to $309,400/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>

Principal Applied Scientist, Amazon - Sponsored Products

Net2Source (N2S)

<div>
 
 Vaccine Drug Product Development, a part of Research Laboratories in West Point, PA, is seeking a Contract Scientist or Engineer to join our department for one year. The selected candidate will work as part of a team responsible for the design and development of vaccine drug products from preclinical through Phase III with a line of sight to commercialization. The successful candidate will work hands-on in a fast-paced laboratory and collaborate closely with cross-functional teams to develop the next generation of vaccine drug products.
 
 
 
 
 
 Primary responsibilities include the design, execution, and documentation of laboratory activities supporting formulation of novel vaccine antigens (e.g., RNA, live virus vaccines, subunit, conjugate etc.), adjuvants, and delivery systems.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 &bull; Design and perform hypothesis-driven formulation and process development experiments for sterile vaccine drug products (buffers, stabilizers, antigen/adjuvant, vials, syringes) across multiple vaccine modalities (subunit, conjugate, live-attenuated, etc.).
 
 
 &bull; Prepare formulations and fill vials/syringes for characterization &amp; animal studies using aseptic technique and Good Laboratory Practices (GLP); support transfer to GMP manufacturing.
 
 
 &bull; Conduct stability and forced-degradation studies; analyze data, summarize findings, and author technical reports and electronic notebook entries.
 
 
 &bull; Operate and troubleshoot benchtop unit operations (mixing, filtration, pumping, lyophilization), common lab instruments (pH, scales, pipettes), and analytical tools (DLS, SLS, KF, DSC, DSF)
 
 
 &bull; Collaborate with cross-functional teams (discovery, analytical, manufacturing, regulatory) to meet project timelines and deliverables.
 
 
 &bull; Continuously learn and apply current literature, methods, and technologies to improve formulations and processes.
 
 
 &bull; Support selected analytical studies on formulated products such as osmolality, viscosity, pH, and dynamic light scattering.
 
 
 &bull; Follow safe laboratory practices and maintain the work area in a clean orderly and safe manner.
 
 
 &bull; Draft, review and execute protocols for batch manufacture.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 Minimum Education Requirement:
 
 
 
 &bull; B.S. in Chemistry, Biology, Biochemistry, Biophysics, Chemical/Biochemical engineering, Virology, or related discipline with 3-5 years of relevant experience
 
 
 -or-
 
 
 &bull; M.S. in Chemistry, Biology, Biochemistry, Biophysics, Chemical/Biochemical engineering, Virology, or related discipline with 1-2 years of relevant experience
 
 
 
 
 
 
 Required Skills and Experience:
 
 
 
 &bull; Hands-on laboratory experience (academic or industry) designing, driving, and interpreting results from experiments
 
 
 &bull; Excellent communication, writing and collaboration skills
 
 
 &bull; Excellent organizational and technical problem-solving abilities
 
 
 &bull; Comfortable working in a fast-paced environment and adapting to change
 
 
 &bull; Ability to provide critical input into experimental plans
 
 
 &bull; Team-oriented, motivated to learn, and able to manage multiple priorities under technical supervision
 
 
 
 
 
 
 Desired Skills and Experience:
 
 
 
 &bull; Experience with analytical characterization of biotherapeutics including protein biochemistry and analytical characterization (e.g., particle size analysis and other biophysical methodologies)
 
 
 &bull; Formulation development experience with biotherapeutics including RNA, carbohydrate, protein and/or live viral vaccines as well as adjuvants for parenteral administration
 
 
 &bull; Demonstrated proficiency in aseptic technique
 
 
 &bull; Understanding of the drug product manufacturing process and scale-up considerations
 
 
 &bull; Experience with preparation and/or manufacturing of safety assessment or clinical supplies
 
 
 &bull; Experience authoring source documents used in regulatory filings
 
 
 &bull; General knowledge and/or experience with lyophilization, including techniques to examine residual moisture and the physical properties of lyophilized formulations
 
 
 
 
 
 Preferred candidates will have experience in drug product development techniques (e.g. formulation, filtration, analytical/biochemical/biophysical characterization, and process development).
 
 
 
</div>

Drug Formulation Scientist

Thermo Fisher Scientific

<div>Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Laboratory Setting
Job Description
At Thermo Fisher Scientific, you'll be part of a collaborative team working towards building a better world. As a global leader, we provide the support and opportunities you need to make a significant difference.
As a Scientist specializing in Downstream proces, you will apply your expertise in mammalian, microbial, or other purification systems. You will design robust downstream processes to contribute to the development of biopharmaceutical products.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>
Develop and optimize Downstream processes, including chromatography process for customer projects or inhouse process development</li><li>
Perform small-scale, bench-scale, and pilot-scale experiments to support process development and solving.</li><li>
Assess and incorporate resin technologies to enhance process flexibility and efficiency.</li><li>
Design and complete experiments to enhance cell growth, productivity, and product quality attributes.</li></ul><h2 class="jobSectionHeader">
Technology Transfer and Scale-Up</h2><ul><li>
Lead downstream process technology transfer to clinical and commercial manufacturing scales.</li><li>
Develop and document detailed process descriptions, standard operating procedures (SOPs), and batch records for scale-up activities.</li><li>
Collaborate with manufacturing to ensure smooth implementation of upstream processes in single-use production systems.</li></ul><h2 class="jobSectionHeader">
Data Analysis and Documentation</h2><ul><li>
Analyze experimental data to evaluate process performance, identify trends, and recommend improvements.</li><li>
Prepare technical reports, presentations, and documentation for internal and external collaborators, following Good Documentation Practices (GDP).</li><li>
Maintain accurate records of process development activities and experimental results in electronic lab notebooks (ELNs).</li></ul><h2 class="jobSectionHeader">
Collaboration and multi-functional Support</h2><ul><li>
Work closely with downstream processing, analytical development, quality assurance, and regulatory teams to ensure seamless integration into end-to-end biomanufacturing workflows.</li><li>
Participate in project meetings and contribute to strategy discussions, ensuring alignment with organizational goals and timelines.</li><li>
Support solving and resolution of upstream-related challenges during production.</li></ul><ul><li>
Stay informed on advancements in cell culture technologies, single-use systems, and bioprocessing methodologies.</li><li>
Identify and implement innovative approaches to improve upstream process efficiency, scalability, and sustainability.</li><li>
Actively contribute to fostering a culture of innovation and continuous improvement within the Bioprocess Design Center.</li></ul><h2 class="jobSectionHeader">
Experience:</h2><ul><li>
Ph.D., M.S., or B.S. in Biotechnology, Biochemical Engineering, Molecular Biology, or a related field with a focus on cell culture and upstream processing.</li><li>
3+ years of experience in upstream process development for biologics, including hands-on experience with mammalian or microbial cell culture systems.</li><li>
Proficiency in working with single-use bioreactor systems is highly preferred.</li><li>
Familiarity with fed-batch, perfusion, and continuous culture processes.</li><li>
Solid understanding of bioreactor design, operation, and process control strategies.</li><li>
Proficiency with process monitoring tools and analytical instrumentation for cell culture.</li><li>
Excellent problem-solving and analytical skills with the ability to manage sophisticated data sets.</li><li>
Strong written and verbal communication skills, with experience communicating technical data to diverse audiences.</li><li>
Experience with cGMP guidelines, regulatory standards, and technology transfer in biomanufacturing.</li><li>
Knowledge of cell line development and characterization.</li><li>
Familiarity with automation, PAT (Process Analytical Technology), and data-driven optimization tools.</li><li>
Lead numerous projects simultaneously and meet aggressive timelines.</li><li>
Demonstrated ability to lead multiple collaborators and conflicting goals.</li><li>
Business-level proficiency in English (verbal/written) and proficiency in Excel and presentation skills.</li><li>
Willingness to travel as required.</li><li>
Self-motivated, team-oriented, collaborative and skilled in working in a matrixed and multi-functional environment</li><li>
Good social skills (oral and written)</li></ul>
At Thermo Fisher Scientific, our goal is to empower our customers to make the world a better place by promoting health, cleanliness, and safety. As a distributed team with over 125,000 colleagues, we uphold the values of Integrity, Intensity, Innovation, and Involvement. Together, we advance research, solve sophisticated scientific problems, develop technological innovation, and provide support to those in need. Join our diverse and inclusive community at Thermo Fisher Scientific. Apply now! http://jobs.thermofisher.com
Benefits
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!
At Thermo Fisher Scientific, each one of our 70,000 extraordinary minds have a unique story to tell. Apply today http://jobs.thermofisher.com.
ThermoFisher is committed to crafting a diverse work environment that values and respects individuals from all backgrounds.
ThermoFisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.</div>

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