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data scientist artificial intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases
 </li>
 <li>
 Experience using LLMs in software applications, including prompting, calling, and processing outputs
 </li>
 <li>
 Experience with AI frameworks such as LangChain
 </li>
 <li>
 Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
 </li>
 <li>
 Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
 </li>
 <li>
 Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
 </li>
 <li>
 Ability to communicate results to technical and non-technical audiences
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

BeGig

<div>
 
 Job Role-
 
 Data Scientist
 
 
 
 Job Type- Contract
 
 
 Duration- 3 months with possible extension as per the performance.
 
 
 Work mode- onsite(5.5 days in a week)
 
 
 Location - Hyderabad
 
 
 
 
 
 We&rsquo;re looking for a
 
 multi-skilled Data Scientist
 
 to support our client&rsquo;s digital transformation initiatives across
 
 sales, procurement, supply chain
 
 , and
 
 executive decision-making
 
 .
 
 
 This role involves developing data-driven solutions that improve forecasting, logistics efficiency, and business intelligence.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Forecasting &amp; Predictive Modelling:
 
 Build demand and price prediction models for dairy and agri-based products.
 </li>
 <li>
 
 Logistics Optimization:
 
 Develop algorithms for route planning and vehicle utilization using optimization techniques.
 </li>
 <li>
 
 Analytics &amp; Insights:
 
 Create dashboards and generate insights from CRM, ERP, GPS, and app data.
 </li>
 <li>
 
 Gamification &amp; App Analytics:
 
 Collaborate with mobile and marketing teams to enhance user engagement.
 </li>
 <li>
 
 Cloud &amp; Data Engineering:
 
 Automate data pipelines (Python + SQL) and deploy models on cloud platforms.
 </li>
 <li>
 
 Stakeholder Collaboration:
 
 Partner with business leaders to define problems, present analytical solutions, and promote adoption.
 </li>
 </ul>
 
 
 Skills &amp; Competencies
 
 
 
 
 Must Have:
 
 Python, SQL, Machine Learning, Time-Series Forecasting, Power BI, Optimization Models
 
 
 
 Preferred:
 
 Cloud platforms (AWS), Firebase/App Analytics Tools, Google OR-Tools/PuLP, Gamification Concepts
 
 
 
 Bonus:
 
 R, NLP/CV, Deep Learning, APIs for weather/inventory
 
 
 
 Qualification
 
 
 <ul>
 <li>
 B.Tech/M.Tech/M.Sc. in Data Science, Computer Science, Statistics, or related fields
 </li>
 <li>
 Certifications in Python, ML, or Cloud preferred
 </li>
 <li>
 MBA or business exposure is a plus
 </li>
 </ul>
 
 
 Ideal Candidate
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in data science roles
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Hands-on experience in forecasting, optimization, app analytics, and dashboards
 </li>
 <li>
 Independent contributor with cross-functional collaboration skills
 </li>
 </ul>
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work directly on digital strategy initiatives with senior leadership
 </li>
 <li>
 Freedom to experiment with AI/ML in real-world business scenarios
 </li>
 <li>
 Cross-functional exposure across sales, procurement, IT, and supply chain
 </li>
 </ul>
 
 
</div>

Data Scientist

Novartis India

<div>
 
 Summary
 
 
 
 As a Principal Scientist I within Preclinical Safety (PCS) Pathology Team, you will be responsible for advancing translational safety omics data analysis to support innovative drug discovery &amp; development efforts. The candidate will participate in the study design, analysis, interpretation, and presentation of the data by interacting closely with a team of pathologists, bench scientists, and subject matter experts across the sites (e.g. USA, Switzerland) of Novartis. The role requires significant omics-based data science expertise and a passion to elevate the role of multimodal data analysis in translational drug safety.
 
 
 
 About The Role
 
 
 
 Your responsibilities include, but are not limited to:
 
 
 <ul>
 <li>
 Use machine learning and statistical methods for analysis of spatial transcriptomics (e.g. Visium/Nanostring platforms) and spatial proteomics data (both internal and public data) from raw reads
 </li>
 <li>
 Compare and contrast spatial omics data sets with bulk RNASeq and single cell data
 </li>
 <li>
 Multimodal analysis of omics data with other modalities such as histopathology images, clinical biomarkers, etc.
 </li>
 <li>
 Support projects with data science expertise in diverse scientific fields such as gene and cell therapy, target discovery, genetics, drug safety, compound screening, etc.
 </li>
 <li>
 Innovate by transforming the way to solve a problem using Data Science &amp; Artificial Intelligence
 </li>
 <li>
 Communicating regularly with stakeholders and assisting with answering their questions with the data and analytics
 </li>
 <li>
 Proactively evaluate the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the Novartis data sciences approaches
 </li>
 <li>
 Independently identifies research articles and reproduce/apply methodology to Novartis business problems
 </li>
 <li>
 M.S. or PhD in Data Science, Computational Biology, Bioinformatics, or a related discipline
 </li>
 <li>
 Proficient in programming languages and data science workflows (e.g. Python, R, Git, UNIX command line, high-performance computing (HPC) clusters etc.)
 </li>
 <li>
 A minimum of 5 years of experience in analyzing large biological datasets (genomics, proteomics, and transcriptomics data analysis and data-integration) in a drug discovery/development or relevant academic setting
 </li>
 <li>
 Proven ability to implement exploratory data analysis and statistical inference in the context of scientific research
 </li>
 <li>
 A collaborative, team-focused mindset coupled with outstanding communication skills, and the ability to work in an agile environment
 </li>
 <li>
 Experience with using machine learning algorithms to extract insights from complex datasets
 </li>
 <li>
 Familiarity with the concepts of molecular biology, cell biology, genomics, biostatistics and toxicology
 
 
 </li>
 </ul>
 WHY NOVARTIS
 
 
 769 million lives were touched by Novartis medicines in 2020, and while we&rsquo;re proud of this, we know there is so much more we could do to help improve and extend people&rsquo;s lives.
 
 
 We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
 
 
 We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world&rsquo;s toughest medical challenges. Because the greatest risk in life, is the risk of never trying! Imagine what you could do here at Novartis!
 
 
 
 Commitment To Diversity &amp; Inclusion
 
 
 
 Novartis is committed to building an outstanding, inclusive work environment and diverse team&rsquo;s representative of the patients and communities we serve.
 
 
 Join our Novartis Network : If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
 
 
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Principal Scientist - Pathology

Thomson Reuters

<div>
 Want to be part of the Marketing Data &amp; Analytics organization, whose strategic goal is to create a world-class Data &amp; Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters.
 
 
 We are looking for a highly motivated individual with strong organizational and technical skills for the position of Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.
 
 
 
 About The Role
 
 
 
 In this opportunity as Data Scientist, you will:
 
 
 <ul>
 <li>
 Engage with stakeholders, business analysts and project team to understand the data requirements.
 </li>
 <li>
 Work closely with Marketing Business Intelligence group.
 </li>
 <li>
 Work in multiple Marketing domain areas including Demand Generation, Paid Media, Campaign Planning, Digital Activation, Marketing Automation.
 </li>
 <li>
 Design analytical frameworks to provide insights into a business problem.
 </li>
 <li>
 Explore and visualize multiple data sets to understand data available and prepare data for problem solving.
 </li>
 <li>
 Build machine learning models and/or statistical solutions.
 </li>
 <li>
 Build predictive models, generative AI solutions.
 </li>
 <li>
 Use Natural Language Processing to extract insight from text.
 </li>
 <li>
 Design database models (if a data mart or operational data store is required to aggregate data for modelling).
 </li>
 <li>
 Design visualizations and build dashboards in Tableau and/or PowerBI.
 </li>
 <li>
 Extract business insights from the data and models.
 </li>
 <li>
 Present results to stakeholders (and tell stories using data) using power point and/or dashboards.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You're a fit for the role of Data Scientist if your background includes:
 
 
 <ul>
 <li>
 Experience- 6-10 Years in the field of Machine Learning &amp; AI
 </li>
 <li>
 Must have a minimum of 3 years of experience working in the data science domain
 </li>
 <li>
 Degree preferred in a quantitative field (Computer Science, Statistics, etc.)
 </li>
 <li>
 Both technical and business acumen is required
 </li>
 <li>
 Technical skills
 </li>
 <li>
 Proficient in machine learning, statistical modelling, data science and generative AI techniques
 </li>
 <li>
 Highly proficient in Python and SQL
 </li>
 <li>
 Experience with Tableau and/or PowerBI
 </li>
 <li>
 Has worked with Amazon Web Services and Sagemaker
 </li>
 <li>
 Ability to build data pipelines for data movement using tools such as Alteryx, GLUE
 </li>
 <li>
 Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POC&rsquo;s in building Generative AI solutions (GPT, Llama etc.,)
 </li>
 <li>
 Hands on with Prompt Engineering
 </li>
 <li>
 Experience in Marketing domains like Demand Generation, Paid Media, Campaign Planning, Digital Activation, Marketing Automation.
 </li>
 <li>
 Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modelling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning
 </li>
 <li>
 Knowledgeable of AWS APIs for Machine Learning
 </li>
 <li>
 Has worked with Snowflake extensively.
 </li>
 <li>
 Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations.
 </li>
 <li>
 Ability to communicate complex results in a simple and concise manner at all levels within the organization.
 
 
 
 </li>
 </ul>
 
 What&rsquo;s in it For You?
 
 
 
 <ul>
 <li>
 Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
 </li>
 <li>
 Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
 </li>
 <li>
 Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
 </li>
 <li>
 Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
 </li>
 <li>
 Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
 </li>
 <li>
 Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
 </li>
 <li>
 Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
 
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
 
 
 We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
 
 
 As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
 
 
 We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
 
 
 Learn more on how to protect yourself from fraudulent job postings here.
 
 
 More information about Thomson Reuters can be found on thomsonreuters.com.
 
 
</div>

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

ProPharma

<div>
 For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality &amp; compliance, pharmacovigilance, medical information, and R&amp;D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners&rsquo; most high-profile drug and device programs.
 
 
 
 Job Summary
 
 
 
 The Pharmacovigilance (PV) Scientist supports the activities in the Benefit Risk group by ensuring that day-to-day operational activities are completed. The PV Safety Scientist is expected to be professional and diligent and liaise with the director and management group members within the team on any issues, as well as coordinate the work with the senior PV Scientists. The PV Safety Scientist is also expected to lead by example and ensures quality standards are upheld within the company.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Authoring of Aggregate reports (PSURs/PBRERs, PADERs/Annual Reports/ ACO/ DSUR) for submission to local and other Health Authorities.
 </li>
 <li>
 Authoring of Risk Management Plans (RMPs) as a part of regular Pharmacovigilance activities.
 </li>
 <li>
 Authoring of Signal Management Reports.
 </li>
 <li>
 Performing literature search and validity check for the aggregate reports.
 </li>
 <li>
 Reconciliation of relevant process trackers.
 </li>
 <li>
 Extraction and validation of data (RSI, Sales, previous reports, RMP, signals).
 </li>
 <li>
 Generation of Line Listings (LL) from safety database
 </li>
 <li>
 </li>
 <li>
 Providing reliable support for high priority Ad-hoc activities.
 
 
 </li>
 </ul>
 
 Necessary Skills And Abilities.
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills.
 </li>
 <li>
 Sound organizational skills
 </li>
 <li>
 Able to work within a team in an open and professional manner
 </li>
 <li>
 Excellent attention to detail and focus on quality
 </li>
 <li>
 Understanding of ICH-GCP, FDA, EMA and other relevant Global regulations related to PV
 </li>
 <li>
 Demonstrable ability to analyze and quantify large volumes of data in a concise and scientific manner, in keeping with regulatory deadlines.
 </li>
 <li>
 Awareness of global culture and willingness to work in a matrix environment
 </li>
 <li>
 Knowledge in other pharmacovigilance processes, ability to author/update SOPs or WIs, to identify and author deviations/CAPAs."
 </li>
 <li>
 Ensuring that deliverables to the clients comply with the relevant regulatory requirements and are sent to the client within agreed timelines.
 </li>
 <li>
 Capability to make concise, accurate and relevant synopses of medical text and data, and the ability to write unambiguous medical text
 </li>
 <li>
 Computer proficiency, IT skills, expertise and an ability to work with web based applications, and familiarity with the Windows Operating system and the MS Office suite (Word/Excel/Power Point)
 
 
 </li>
 </ul>
 Educational requirements
 
 
 <ul>
 <li>
 Bachelor/master&rsquo;s degree in pharmacy, Nursing, Life Science, or other health-related field, or equivalent qualification/work experience
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 2+ years&rsquo; experience in Pharmacovigilance with a focus on medical writing and/or literature search and/or signal detection
 </li>
 <li>
 Experiences in contributing to the compilation of metrics and participating in discussions about quality internally and with Clients
 </li>
 <li>
 Experience in literature screening activities and/or experiences in authoring and reviewing aggregate reports
 
 
 </li>
 </ul>
 We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.
 
 
 ***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***
</div>

Pharmacovigilance Safety Scientist

PI Health Sciences Ltd

<div>
 
 
 Job Title: Research Scientist / Senior Research Scientist &ndash; Process R&amp;D
 
 
 
 
 Department:
 
 R&amp;D &ndash; Process Development
 
 
 
 Industry:
 
 CDMO / API
 
 
 
 
 
 
 Purpose of the Role:
 
 
 
 To lead and execute the development, optimization, and scale-up of robust, cost-effective, and regulatory-compliant chemical processes for Active Pharmaceutical Ingredients (APIs) and intermediates, ensuring smooth technology transfer from lab to kilo lab and manufacturing.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Responsibilities
 
 
 <ul>
 <li>
 Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
 </li>
 <li>
 Contribute to technology differentiation strategies that enhance the CDMO&rsquo;s scientific credibility and client value proposition.
 </li>
 <li>
 Collaborate with cross-functional teams (Analytical, QA/QC, and Regulatory) to support integrated drug development solutions.
 </li>
 </ul>
 
 
 2. Operational Responsibilities
 
 
 <ul>
 <li>
 Perform route scouting and literature searches, and develop robust and scalable chemical processes using QbD principles.
 </li>
 <li>
 Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
 </li>
 <li>
 Prepare and review technical reports, SOPs, and technology transfer documents.
 </li>
 <li>
 Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
 </li>
 <li>
 Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.
 </li>
 </ul>
 
 
 3. Financial Responsibilities
 
 
 <ul>
 <li>
 Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
 </li>
 <li>
 Support cost estimation activities during project proposals or client RFQs by providing technical insights.
 </li>
 </ul>
 
 
 4. People &amp; Collaboration Responsibilities
 
 
 <ul>
 <li>
 Guide junior team members on experimental planning, data interpretation, and documentation best practices.
 </li>
 <li>
 Promote a culture of safety, learning, and innovation within the team.
 </li>
 <li>
 Work closely with program management and business development to align project goals with customer expectations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 M.Sc. (Organic Chemistry) / PhD
 </li>
 <li>
 3&ndash;7 years of experience in Process R&amp;D, preferably in CDMO organizations
 </li>
 <li>
 Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
 </li>
 <li>
 Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation
 </li>
 </ul>
 
 
</div>

Research Scientist

Explore 189+ Data scientist artificial intelligence in Hyderabad Jobs In Hyderabad India this November. Find roles across top companies and apply now to boost your career.

189 data scientist artificial intelligence jobs IN Hyderabad Jobs In Hyderabad India

Data Scientist-Artificial Intelligence

Data Scientist

Principal Scientist - Pathology

Data Scientist

Data Scientist - GO/JC/1384/2025

Pharmacovigilance Safety Scientist

Research Scientist