product scientist

Celonis

<div><div>We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?</div>
We're Celonis, the global leader in execution management and process mining technology, and one of the 50 most valuable private companies in the world. We believe that every company can unlock its full execution capacity - and for that, we need you to join us as a Product Data Scientist 
 
The Team: 
As a member of the Engineering organization, the Product Analytics &amp; Data Sciences team provides analytic support and a strategic perspective to the product and engineering teams to enable them to make evidence-based decisions. We deliver actionable insights by collecting, organizing and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and much more. We transform data into analytic assets by conducting exploratory analysis, identifying outliers, validating hypotheses, building statistical models, quantifying risk; communicating findings through well crafted stories and critical recommendations.
 
 
The Role: 
As a Product Data Scientist in the Product Analytics &amp; Data Sciences team, you will play a key role in developing and communicating data-driven insights that will help with strategic and tactical decision making in a hyper growth environment. You will partner with engineers and product team members to understand business problems and help define data solutions. You will build data pipelines for new data sources, develop machine learning models and create visualizations to communicate findings and recommendations to engineers, managers and executives. In this exciting role, in addition to crunching data, you will also need to facilitate data driven discussions between stakeholders across the organization, through effective storytelling with meaningful insight. 
 
The work you'll do:
<ul>
<li>Serve as the data science specialist on the team, building data-driven insights to deliver findings and recommendations to product and engineering teams</li>
<li>Build visualizations as well as written narratives to communicate quantitative insights and facilitate discussions with data driven insights.</li>
<li>Employ statistical analysis and/or modeling techniques on a variety of data - product telemetry, incidents, user journeys, sales motions, infrastructure utilization and others, to drive resource optimization, feature improvement or product adoption related initiatives</li>
<li>Collaborate with partners across the product and engineering teams to understand business motivations; formulate and deliver data analysis by engaging across all the steps of the process, including data gathering, building data pipelines, performing analyses and delivering insights at scale</li>
<li>Continuously engage in refining data engineering processes to ensure data accuracy, consistency, and integrity through continuous audit and review.</li>
<li>Effectively present and communicate analytical findings to stakeholders across the organization.</li></ul> 
 
The qualifications you need:
<ul>
<li>Bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science. Master's preferred.</li>
<li>3+ years relevant experience as a Product Analytics Engineer / Data Scientist or similar, partnering with product, engineering or growth teams</li>
<li>Technical competence with analytical tools for data extraction, visualisation and analysis (SQL, Python, Pandas)</li>
<li>Strong understanding of statistical techniques and machine learning</li>
<li>Experience working with large datasets and predictive modelling</li>
<li>Outcome-oriented with strong decision-making skills and the ability to prioritise multiple objectives while meeting aggressive deadlines</li>
<li>Have excellent written and verbal communication skills; exceptional attention to detail</li>
<li>Experience working in agile teams using collaboration software like Jira or similar</li>
<li>Eager to work in a fast-growing Organization with diverse and international teams spread across multiple locations</li>
</ul><div>
What Celonis Can Offer You:
<ul>
<li>Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.</li>
<li>Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.</li>
<li>Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Interns and working students explore your benefits here.</li>
<li>Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.</li>
<li>Connect and Belong: Find community and support through dedicated inclusion and belonging programs.</li>
<li>Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.</li>
<li>Collaborate Globally: Join a dynamic, international team of talented individuals.</li>
<li>Empowered Environment: Contribute your ideas in an open culture with autonomous teams.</li>
</ul>
About Us:

Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It's system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video. 

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that &quot;The Best Team Wins&quot;. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. 

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.</div></div>

Product Data 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>8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with 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>8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).</li>
<li>Experience in product analytics within Payments, e-commerce, or financial services.</li>
<li>Ability to manage and organize work sprints for themselves and a team for analysts, align/communicate/agree the same with executive management.</li>
<li>Ability to lead in unstructured environments, with a bias for action and sharp attention to detail.</li>
<li>Excellent cross-functional collaboration skills, with experience influencing executive stakeholders through regular communication.</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 shape Payments products and solutions, helping the leaders make data-driven decisions. You will lead a critical part of Payments routing infra, Smart Router, that utilizes Machine Learning (ML) and Artificial Learning (AI) to process Billions of first-party transactions across Play, YouTube, Ads many other first-parties. You will drive analytics for FOPs optimization, building on success metric, driving insights, global launches to optimize success metrics while also reducing cost. You will also play a critical role in the interactions on B2C analytics with Play and YouTube to optimize Buyflows, Purchase Readiness, Conversion and UI on these critical Google products.
Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (VPs and Directors). 
</li>
<li>Lead complex projects that combine investigative with organizational strategy, deliver clear and actionable insights that inform business decisions. Become a strategic thought partner to stakeholders across product, engineering, and executive leadership, influencing key decisions at multiple levels.</li>
<li>Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence. Contribute to the development and alignment of team OKRs and analytics strategy to ensure they support broader product and business goals across the Payments organization.</li>
<li>Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision-making. Advocate best practices in data science, ensure the adoption of scalable, efficient methodologies across projects.</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>

Senior Product Data Scientist, Payments

<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>2 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or work experience with 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>3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).</li>
<li>Understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM).</li>
Excellent communication and presentation skills with the ability to influence stakeholders. 
<li>
</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.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Execute defined, moderately difficult investigative tasks under guidance from the manager or executive team member/TL. Execute end-to-end analysis with minimal guidance.</li>
<li>Manage workload to reflect the priorities set by the team, work towards a timeline, and communicate slippage. Handle data communication, limits, and importance.</li>
<li>Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products. Select appropriate approaches from clear options to address technical challenges under guidance from managers or executive team members.</li>
<li>Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development.</li>
<li>Communicate data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners.</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, Enterprise Buying Platforms

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We're seeking an Applied Scientist to lead and innovate in applying advanced AI technologies that will reshape how businesses sell on Amazon. Our team is passionate about leveraging Machine Learning, GenAI, and Agentic AI to help B2B sellers optimize their operations and drive growth. 
 
Join Amazon Business 3P (Third Party - Sellers) - a rapidly growing global organization where we innovate at the intersection of AI technology and B2B commerce. We're reimagining how sellers reach and serve business customers, creating intelligent solutions that help them grow their B2B business on Amazon. From AI-powered Seller Central tools to smart business certifications, dynamic pricing capabilities, and advanced analytics, we're transforming how B2B selling happens. 
 
As an Applied Scientist II on our AB 3P Tech team, you'll drive the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning. You'll work with highly technical, entrepreneurial teams to: 
<ul><li>Design and implement AI models that power the B2B selling experience</li><li>Lead the development of GenAI products that can handle Amazon-scale use cases</li><li>Drive research and implementation of advanced algorithms for human feedback and complex reasoning</li><li>Make strategic AI technology decisions and mentor technical talent</li><li>Own critical AI systems spanning from Seller Central to Amazon Business detail pages</li></ul> 
Join us in shaping the future of B2B selling - we're building applied AI solutions that businesses love and trust for their day-to-day success. If you are scrappy and bias for action is your favorite Leadership Principle, you'll fit right in as we innovate across the seller experience to create significant impact in this fast-growing business. 
 
Key job responsibilities 
Key job responsibilities: 
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Communicate results and insights to both technical and non-technical audiences</li></ul> 
About the team 
At Amazon Business Third Party (AB3P) Tech, we're revolutionizing B2B e-commerce by empowering sellers in the business marketplace. Our scope spans the complete B2B selling journey, from Seller Central to Amazon Business detail pages, cart, and checkout for merchant-fulfilled offers. 
 
Our entrepreneurial culture and global reach define us. We develop features across seller experience, delivery, certifications, fees, registration, and analytics, collaborating with worldwide teams and leveraging advanced AI technologies to continuously innovate. Working in true Day 1 spirit, we build next-generation solutions that shape the future of B2B commerce. 
 
Join us in building next-generation solutions that shape the future of B2B commerce.</div><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 in patents or publications at top-tier peer-reviewed conferences or journals</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">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul> 
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.</div>

Applied Scientist II, Amazon Business 3P

Syngene International Limited

<div>
 Date: 18 Dec 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Development Services
 
 
 
 Job Description
 
 
 
 Designation: Formulation Scientist
 
 
 Job Location: Bangalore
 
 
 The Company
 
 
 Syngene International Ltd. (BSE: 539268, NSE: SYNGENE, ISIN: INE398R01022), is an integrated research, development, and manufacturing solutions company serving the global pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical sectors. Syngene&rsquo;s 4500+ scientists offer both the skills and capacity to deliver great science, robust data management and IP security, and quality manufacturing at speed, to improve time-to-market and lower the cost of innovation. With a combination of 1.9 Mn sq ft of specialist discovery, development and manufacturing facilities, as well as dedicated research facilities for Amgen, Baxter, Bristol-Myers Squibb and Herbalife, Syngene works with biotech companies pursuing leading edge science as well as multinationals including GSK and Merck KGaA.
 
 
 Key Result Areas
 
 
 
 Role-specific
 
 
 
 
 Functional Responsibilities:
 
 
 
 <ul>
 <li>
 Design and develop parenteral formulations for complex biologics
 </li>
 <li>
 Execute pre-formulation studies of biologics through rational design principles including structure function assessment, buffer/excipient/stabilizer screening, etc.
 </li>
 <li>
 Plan and execute drug substance/product stability studies, analyze data trend and support assessment of degradation kinetics and assign shelf-life.
 </li>
 <li>
 Author protocols, technical reports and communicate studies outcome to cross-functional groups.
 
 
 </li>
 </ul>
 
 Primary Responsibilities
 
 
 
 <ul>
 <li>
 Should have a strong background in Biologics Parenteral Formulation development including solid and liquid dosage forms
 </li>
 <li>
 Experience in both early and late formulation development of mAbs and fusion proteins
 </li>
 <li>
 Good knowledge on Formulation and Process characterization studies
 </li>
 <li>
 Experienced in handling instruments like Density meter / Osmometer / Viscometer / Turbidity meter / UV Spectrophotometer / HPLC systems
 </li>
 <li>
 Ability to learn quickly, enthusiastic, sincere, positive attitude, hardworking
 </li>
 <li>
 Should have positive temperament, rational/logical thinking and enthusiasm to deliver on time, hardworking and committed.
 </li>
 <li>
 Basic understanding of statistics, DoE and data visualization
 </li>
 <li>
 Should be experienced/demonstrated formulation and process characterization.
 </li>
 <li>
 Authoring Technical documents like PDR, Tech transfer, study reports etc.
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 M.Pharm or M.Sc. in Life Science/Biotechnology/ Bioprocess Engineering/ Pharmaceuticals/Biopharmaceuticals/ Biopharmaceutical Technology/ Biochemistry or equivalent degree.
 
 
 </li>
 </ul>
 
 Industry Experience
 
 
 
 <ul>
 <li>
 Minimum 6-9 years of relevant practical experience in formulation development for biopharmaceuticals, specifically with mAbs, Proteins and peptides.
 
 
 </li>
 </ul>
 Equal Opportunity Employer
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.
 
 
 Pls visit us at https://syngeneintl.com/ to know more about us and what we do.
</div>

Formulation Scientist

Amazon

Job ID: Amazon Development Center U.S., Inc. Amazon Web Services (AWS) is looking for a Principal Applied Scientist to join the Amazon Q team. Q is AWS's enterprise generative AI assistant that helps users answer questions, summarize documents, generate content, take actions, and automate workflows using information across enterprise systems. As a key member of this team, you will lead research and development efforts in generative AI and Agentic AI to enable intelligent agents that perform complex reasoning, automate multi step workflows, and make enterprise users significantly more productive. You'll work on building and optimizing multi modal foundation models, training and fine tuning state of the art LLMs, and architecting systems that scale efficiently across domains. This role blends science leadership, hands on innovation, and deep collaboration with engineering teams to bring research into production. Key Job Responsibilities <ul> <li>Lead the design and development of foundational models and intelligent agent architectures tailored to enterprise use cases.</li> <li>Partner with engineering, product, and UX teams to integrate generative AI into the Amazon Q assistant.</li> <li>Drive experimentation to improve model accuracy, safety, latency, and cost efficiency.</li> <li>Mentor other scientists and engineers, helping raise the technical bar across the team.</li> <li>Contribute to and publish in top tier conferences or file patents based on novel research contributions.</li> </ul> About the Team Amazon Q is a generative AI powered assistant that helps employees become more productive by answering questions, generating content, summarizing data, and automating workflows using enterprise information. Our team builds the intelligence behind Q, leveraging large language models, retrieval augmented generation, and agentic architectures to orchestrate complex workflows securely and at scale. We're focused on building systems that reason, plan, and act across multiple modalities and business tools. As part of AWS's broader Agentic AI initiative, we're shaping the future of enterprise AI-empowering organizations to solve problems faster, reduce operational overhead, and unlock new levels of efficiency and decision making. Basic Qualifications <ul> <li>PhD in Machine Learning, Computer Science, Electrical Engineering, or a related technical field OR a Master's degree with 5+ years of relevant industry or research experience.</li> <li>Industry experience developing machine learning models for real world applications.</li> <li>Experience with generative AI, including model training or building systems with pre trained foundation models.</li> <li>Proven record of peer reviewed publications or granted patents in AI/ML.</li> <li>Proficiency in Python or similar programming languages.</li> <li>Experience in at least one of the following areas: natural language processing (NLP), large language models (LLMs), computer vision, or Agentic AI.</li> </ul> Preferred Qualifications <ul> <li>Experience applying generative AI to enterprise or multi modal tasks (e.g., code generation, document understanding, or task planning).</li> <li>Strong understanding of agentic architectures, autonomous systems, or task orchestration.</li> <li>Hands on experience with scalable ML infrastructure, distributed training, or optimization of large models.</li> <li>Deep knowledge of AI safety, hallucination mitigation, or retrieval augmented generation (RAG).</li> <li>Experience mentoring junior scientists and influencing cross functional stakeholders.</li> <li>Ability to think strategically and communicate complex technical topics to non experts, including senior leadership.</li> <li>Track record of shipping scientific innovations into customer facing products at scale.</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. Your compensation will include a base salary ranging from $179,000 to $309,400 per year depending on geographic market, plus potential equity, sign on payments, and other benefits. For more information, visit the Amazon employee benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Principal Applied Scientist, Amazon Q

Dr. Reddy's Laboratories

<div>
 
 Dr. Reddy&rsquo;s Laboratories Ltd. is a leading multinational pharmaceutical company based across global locations. Each of our 24,000 plus employees comes to work every day for one collective purpose: to accelerate access to affordable and innovative medicines because
 
 Good Health Can&rsquo;t Wait
 
 .
 
 
 
 
 We started in 1984 with a modest investment, 20 employees and a bold vision. Today, we have research and development centres, manufacturing facilities or a commercial presence in 66 countries.
 
 
 
 
 For nearly four decades, we have stood for access, affordability and innovation based on the bedrock of deep science, progressive people practices and robust corporate governance. As the pharmaceutical industry evolves and undergoes disruption, we see an opportunity &ndash; to strengthen our core further (the next steps) and to build the future (the new bets).
 
 
 
 
 &lsquo;The Next and the New&rsquo; is how we aim to continue to be the partner of choice &ndash; purpose-driven, future-ready and sustainable. Our aim is to reach over 1.5 Bn+ patients across the world by 2030 by growing our core businesses and building for the future with sustainability at the core of our purpose and strategy. Sustainability for us means operating in a manner that respects people, planet and purpose &ndash; helping us conserve precious resources, serve our patients, create value for stakeholders, give back to society, fulfil our potential and maintain our integrity and transparency
 
 
 
 
 Dr Reddy&rsquo;s maintains a work environment, free from discrimination and is an equal opportunity employer. We are committed to employ &amp; nurture all qualified diverse workforce without regard to race, colour religion, nationality, sex, age, disability status, genetics, sexual orientation, gender expression, citizenship or any other characteristic or classification protected by applicable law(s) of the country we operate in. We treasure every talent, and recognize merit and diversity in our organization.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a dynamic and experienced Formulation Scientist in Injectable division for designing and development of formulation process, ensuring quality by design (QbD) implementation, scaling up for manufacturing of batches, coordinating manufacturing readiness, overseeing plant execution, and facilitating seamless technology transfer.
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 <ul>
 <li>
 You will be responsible for end to end Formulation development of Injectable including development, execution, filing and approval.
 </li>
 <li>
 You will be responsible to co-ordinate closely with analytical team to devise effective Proof of Concept (POC) for developing generic equivalent of Reference Listed Drug (RLD)/generic Injections.
 </li>
 <li>
 You will be responsible to support in scale-up to pilot/plant scales for Injectable Products.
 </li>
 <li>
 You will be responsible to monitor the development for robust, effective and bioequivalent drug product in timely manner adhering to safety and quality standards. Also provide support in documentation for regulatory submissions.
 </li>
 <li>
 You will be responsible for technology transfer and execution of the batches.
 </li>
 <li>
 You will be responsible for performing pre-formulation studies for material characterization, drug-excipient compatibility and Reference Listed Drug (RLD) characterization (including reverse engineering, formulation designing and optimization, processes designing and scale up).
 </li>
 <li>
 You will be responsible for preparation of risk evaluation and risk mitigation documents, Scale-up batch documents, and filing documents for drug product at every stage of development.
 </li>
 <li>
 You will be responsible to review data generated and participate in discussions with experts to conclude on prototype(s). Participate in strategizing the sourcing of Active Pharmaceutical Ingredient (API), raw materials and ensure development studies are performed related to regulatory and internal system requirements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Educational qualification:
 
 Masters in Pharmaceutical/M.Tech in Chemical Engineering
 
 
 
 
 
 Minimum work experience:
 
 5 to 8 years of experience in pharmaceutical company in Injectable products.
 
 
 
 
 
 Skills &amp; attributes:
 
 
 
 
 Technical Skills
 
 
 
 
 <ul>
 <li>
 Have work experience on Formulation Development and expertise in inhalation/injectable dosage form.
 </li>
 <li>
 Experience in areas of product development for Generic Injectable
 </li>
 <li>
 Experience in Quality by Design (QbD).
 </li>
 <li>
 Experience in Process Optimization and scale up.
 </li>
 <li>
 Experience in Operational Excellence.
 </li>
 <li>
 Knowledge on Good Manufacturing Practice and Good Laboratory Practice.
 </li>
 <li>
 Experience in Technology Transfer.
 </li>
 </ul>
 
 
 Behavioral
 
 
 Skills
 
 
 
 
 <ul>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Ability to work collaboratively with own team and cross-functional teams.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 About the Department
 
 
 
 
 
 
 Integrated Product Development Organisation
 
 
 
 
 
 We integrate our deep science capabilities and cutting-edge technology to develop innovative, accessible and affordable therapies for patients worldwide. We are a science-driven, innovation-focused pharmaceutical company committed to accelerating access to healthcare solutions to patients around the world. We have End to end capabilities in API, Formulations, Clinical, Intellectual Property and Regulatory Affairs. We are serving 55+ markets including USA, Canada, Europe, China, LATAM, ASEAN and all Emerging Markets with innovative and generic products ranging from Active pharmaceutical ingredients (API), Oral formulations, Parenteral (Injectables, Opthalmics) &amp; Other dosages
 
 
 Our product development efforts drive a portfolio of more than 1,000 products Enabled by our robust R&amp;D team consisting of more 200 scientists and functional experts and more than 150 doctorates, we have filed 1,071 patents and also published over 1,000 papers for peer review over the years.
 
 
 
 
 
 Benefits Offered
 
 
 
 At Dr. Reddy&rsquo;s we actively help to catalyse your career growth and professional development through personalised learning programs.
 
 
 The benefits you will enjoy at Dr. Reddy&rsquo;s are on par with the best industry standards. They include, among other things and other essential equipment, joining &amp; relocation support, family support (Maternity &amp; Paternity benefits), learning and development opportunities, medical coverage for yourself and your family, life coverage for yourself.
 
 
 
 
 
 Our Work Culture
 
 
 
 Ask any employee at Dr. Reddy&rsquo;s why they come to work every day and they&rsquo;ll say, because Good Health Can&rsquo;t Wait. This is our credo as well as the guiding principle behind all our actions. We see healthcare solutions not only as scientific formulations, but as a means to help patients lead healthier lives, and we&rsquo;re always attuned to the new and the next to empower people to stay fit. And to do this, we foster a culture of empathy and dynamism. People are at the core of our journey over the last few decades. They have been supported by an enabling environment that buoys individual ability while fostering teamwork and shared success. We believe that when people with diverse skills are bound together by a common purpose and value system, they can make magic.
 
 
 For more details, please visit our career website at
 
 https://careers.drreddys.com/#!/
 
 
</div>

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