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Job Title: Research Scientist – Process R&D

Department: R&D – 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

• Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
• Contribute to technology differentiation strategies that enhance the CDMO’s scientific credibility and client value proposition.
• Collaborate with cross-functional teams (Analytical, QA/QC, Regulatory) to support integrated drug development solutions.

2. Operational Responsibilities

• Perform route scouting, literature search, and develop robust and scalable chemical processes using QbD principles.
• Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
• Prepare and review technical reports, SOPs, and technology transfer documents.
• Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
• Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.

3. Financial Responsibilities

• Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
• Support cost estimation activities during project proposals or client RFQs by providing technical insights.

4. People & Collaboration Responsibilities

• Guide junior team members on experimental planning, data interpretation, and documentation best practices.
• Promote a culture of safety, learning, and innovation within the team.
• Work closely with Program Management and Business Development to align project goals with customer expectations.

Qualifications & Experience

• M.Sc ( Organic Chemistry)
• 3–9 years of experience in Process R&D, preferably in CDMO organizations
• Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
• Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation

Job Title: Research Scientist – Process R&D

Department: R&D – 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

• Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
• Contribute to technology differentiation strategies that enhance the CDMO’s scientific credibility and client value proposition.
• Collaborate with cross-functional teams (Analytical, QA/QC, Regulatory) to support integrated drug development solutions.

2. Operational Responsibilities

• Perform route scouting, literature search, and develop robust and scalable chemical processes using QbD principles.
• Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
• Prepare and review technical reports, SOPs, and technology transfer documents.
• Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
• Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.

3. Financial Responsibilities

• Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
• Support cost estimation activities during project proposals or client RFQs by providing technical insights.

4. People & Collaboration Responsibilities

• Guide junior team members on experimental planning, data interpretation, and documentation best practices.
• Promote a culture of safety, learning, and innovation within the team.
• Work closely with Program Management and Business Development to align project goals with customer expectations.

Qualifications & Experience

• M.Sc ( Organic Chemistry)
• 3–9 years of experience in Process R&D, preferably in CDMO organizations
• Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
• Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation

Description

What Does Success Look Like   

In your role as a Research Scientist, you will be tasked with creating innovative machine learning research for the next generation of digital customer experience applications.

What You’ll Do  

What Makes You Qualified  

Why You'll Love Sprinklr:

We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.

For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.

We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever.
 

We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.
 

We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more.
 

EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful.
 

Sprinklr 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. See also Sprinklr’s EEO Policy and EEO is the Law.

This role requires > 8 years of experience working in the areas of pesticide/agrochemical formulation development and able to work in the formulation lab.

• Lead the development of Crop Protection formulations

• To formulate, generate scientific / technical data using established systems, procedures, and protocols in an area of work delegated by the manager.

• Define the experimental programme that include the development of new pesticide formulations, procedures/standards.
• To interpret data in order to make contributions to decisions in the work programme content, procedures, or problem solution.
• Engages directly with other functions to co-ordinate delivery of project outputs (e.g. product biology, regulatory, procurement team, engineering team, packaging etc) with the support of a leader.
• Report on work, including recommendations to project team or sub-project team leader.
• Participate in regional and global technical / project teams
• Will represent the formulation development work/status at every developmental stage to global peer review team and adhere to project timelines.

ACCOUNTABILITIES

• To plan, organise and carry out the work programmes at the laboratory, semi-technical, pilot plant or manufacturing scale to design novel pesticide formulation options in order to:
  • Prove the suitability for progression through Stage C and D Evaluation and Development
  • Provide Product Chemistry type and or supporting data, and
  • Provide the formulation design input required to define the process equipment and quality assurance requirements to timescales and specifications agreed with the team or group leader.
• Ensure the quality of Evaluation and Development formulations by arranging for biological efficacy, toxicology, and hazard assessment studies to be carried out in other Functions.
• Provide advice and recommendations to allow appropriate selection of formulation manufacturing sites for individual products, together with the product design inputs required to define the process equipment and quality assurance requirements.
• To interpret and represent to project members external to the function, experimental data and report results and conclusions obtained both orally and in written form to allow cogent and timely Stage C and D project decisions, Regulatory submissions and accurate information archiving and transfer for future commercial manufacturing activities.
• To ensure that work by the job holder and subordinate staff comply with Syngenta standard operating procedures and statutory regulations (e.g. GLP or similar).
• To ensure that the jobholder and subordinate staff work safely and healthy with due care for others, so that compliance with Syngenta’s HSE Policy is achieved.
• To invest in personal and professional development and growth, undertaking, where appropriate, training and development activities and ensuring familiarity with new research and literature.
• Ensure maintaining complete confidentiality of all Syngenta intellectual property.
• Interact with the global formulation community in order to better solve common problems and to define improved processes

KNOWLEDGE EXPERIENCE and CAPABILITIES:

Critical knowledge and experience   

• Master’s degree in Pesticide/Agrochemical chemistry must/preferable from reputed universities with strong academic records and good communication skills with > 8 years of industrial experience in field of pesticide formulation development as a formulation development chemist preferred.
• Thorough knowledge of pesticides, pesticide formulation types and techniques required in formulation development.
• Sound understanding of agrochemical formulations / Coformulations / Fillers is a must

Critical technical, professional, and personal capabilities

• Ability to efficiently build up laboratory works and experiments
• Ability to effectively participation in- and contribute to regional / global multi-functional teams
• Ability to deliver to agreed timelines
• Excellent operational, organisational, interpersonal and computer skills
• Sensitive to different cultural environments
• Self-motivating

Critical leadership capabilities

• Communicative
  • We deliver clear messages to our stakeholders
  • We are keen to listen and learn
• Team Oriented
  • We model commitment
  • We support team process improvement
  • We collaborate effectively across organisational and functional boundaries
• Results Oriented
  • We focus on goal achievement
  • We stay focused
• Customer Focused
  • We seek to understand our customers
  • We build collaborative relationships
• Trusted
  • We demonstrate support for others

Critical success factors and key challenges

• This role will involve taking a lead role  in the development of new formulations by generating potential formulation options through the design of appropriate experimental work programs to thoroughly optimise and test these according to the formulation development process. 
• This will include the analysis of experimental data in order to make inputs to the decisions on the direction of the work programmes within the project.
• The job holder will need to have experience of different formulation types as well as a full range of broader requirements in formulation development such as product application, manufacturing processes, etc.
• To deliver highest quality results in optimal time and maintain highest standards of HSE

Additional Information :

People are at the heart of what we do:

• Once a year Full body check
• Competitive insurance scheme
• Employee assistance program – to take care of your and your loved ones mental health
• Paid Vacation of 30days, 12 Paid Holidays, Maternity and Paternity Leave, compassionate leaves
• Education assistance – for your career growth
• People first culture translated into ‘Most Preferred place to work 2022-23 by Times group’

Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.

To learn more visit:   and 

Follow us on: Twitter & LinkedIn

• Twitter
• LinkedIn

Responsibilities- 

• Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, Computer Vision, and Machine Learning. 
• Collaborate with product teams to turn research advances into impactful products. 
• Design challenging evaluations related to creative intelligence and marketing performance. 
• Develop scalable synthetic data generation and evaluation techniques. 
• Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. 
• Train models and run experiments to study data and model quality. 
• Iteratively refine research experiments and clearly communicate insights to the team. 
• Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform. 
• Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. 

Requirements-

• Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. 
• Multiple publications in top-tier conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, ICCV, ECCV, CVPR, etc. 
• Hands-on experience and a track record of deploying solutions in production environments. 
• Experience in deriving concrete conclusions and actionable insights from large datasets. 
• Ability to take research risks and solve hard problems independently. 
• BTech (for research associates) or PhD degree or equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. 
• For senior positions, a minimum of seven years of post-PhD experience is required. 

You Will Thrive In This Role If You: 

• Are a great teammate who is willing to take on a variety of tasks to contribute to the success of the team 
• Have a proven track record and an impulse for empirical research, answering complex questions with data. 
• Are capable of leading ambitious projects and possess clear communication skills. 
• Have familiarity with crafting quality research experiments and evaluations with rapid iterations. 
• Have experience working in complex technical environments, improving research velocity. 
• Possess a flexible analytic approach that allows for results at varying levels of precision. 
• Have familiarity with relational databases and SQL. 
• Bonus: Experience with large-scale data systems such as Beam or Spark. 

 About The Role   The mission of Intel Labs is to drive technology leadership for Intel. This includes conceiving, researching, prototyping, and coordinating with academic/external partners and Intel business groups to deliver technology innovation for future industry needs. This is full time position with the Emerging Visual-AI Systems Research team at Intel Labs. Our team is driving exciting research to identify innovative technologies and capabilities for future of AI systems, particularly in generative AI and multimodality. We focus on innovating on hardware and software technologies that will transform the AI computing experience across edge/cloud systems. We are seeking for a full-time researcher with a strong system level programming background. The candidate will be responsible for investigating, implementing and driving distributed computing eco-system for compute and memory intensive workloads that leverages Intel HW and SW products. This requires a deep understanding of GPU/accelerators, network protocols, GPU APIs, AI frameworks and solid grasp of distributed computing, and computer architecture.The candidate must have strong research discipline, hands on prototyping skills, closely work with partners to drive research agenda. The candidate is expected to maintain substantial knowledge of state-of-the-art principles and theories and contribute regularly to scientific literature and the research community-at-large and may participate in the development of Intellectual Property. The ideal candidate should exhibit behavioral traits that indicate:Excellent interpersonal and communication skills in a cross-functional setting.Exceptional team player.Self-driven with meticulous attention to detail in a fast-moving environment.Proven track record of taking initiative and driving projects to completion with a results-oriented approach.

 Qualifications  

Minimum Qualifications Bachelor's/BS with 10+ years or master's degree with 5+ years, or PHD with 1+ years of experience in Electrical Engineering, Computer Engineering, Computer Science, or a relevant engineering discipline. Proficient in C++ with significant hands-on experience Strong experience in GPU/NPU architecture, SW pipelines and programming models Experience with computer architecture, OS internals, cross-platform development. system level programming and device drivers Experience with low-level optimizations to improve throughput and reduce latency of E2E systems Strong experience with multithreading programming and concurrency models.Preferred QualificationsHands on experience with AI frameworks (e.g., PyTorch) and standards Experience with LLVM, code generation, RPC Ability to drive early-stage research projects with risks and ambiguity Publication record at top-tier conferences such as NeurIPS, MLSys, ICLR, AAAI, etc.

 Inside this Business Group  Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

 Working Model  This role will require an on-site presence.

Key Responsibilities:

• Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains.
• Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts.
• Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights.
• Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems.
• Develop novel algorithms and models for AI-driven applications across various domains.
• Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products.

Required Qualifications:

• PhD preferred.
• Strong background in machine learning, deep learning, reinforcement learning, or natural language processing.
• Proven track record of original research, including publications in leading AI conferences or journals.
• Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).
• Ability to think critically and creatively to address complex AI challenges.
• Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting.