Computational Chemist

Job Title: Computational Chemist

Function: Science & Technology

Reports to: Research Scientist

Scope: PC

Location: Unilever R&D Bangalore

About Unilever

Established over 100 years ago, we are one of the world’s largest consumer goods companies. We are known for our great brands and our belief that doing business the right way drives superior performance. We believe that the winning businesses of tomorrow will be those which anticipate and respond to the huge changes shaping people’s lives across the world. We are more certain than ever that it is the right time to focus our sustainability efforts on the four key priorities where we are best placed to drive impact: climate, nature, plastics and livelihoods.

Business Context And Main Purpose Of The Job

Personal Care (PC) business is focused on being the best in class company for Personal care products with personalised desirable experiences and beauty solutions for whole-body wellness. The business is committed to address (a) Big Unmet consumer need/insight/idea (b) Right to WIN with superior proposition with product love & noticeable superiority (c). clean beauty product with reduce environmental footprint. The role of the Science and Technology (S&T-PC-Physical science) pillar within R&D is to deliver breakthrough “Differentiated Technologies, with capabilities” to meet PC goals around the world. S&T-PC-Physical science team is focused on building future fit skills team and talent in “Advanced Materials, Measurements delivering long lasting freshness for whole body & personalisation Integrated with Digital”.

S&T-PC-Physical science team is employing advanced materials & measurements science for superior multi targeted consumer needs with perceivable efficacy and care across deodorant and skin cleansing category. The teams focus is to deliver faster and cost-effective Innovations through Advanced Material Pillar leveraging “Computational chemistry”. The purpose is to build differentiated innovation roadmap & impactful claims by (a) Developing and applying QSAR models to predict properties like ADMET, binding affinity, or material properties based on molecular descriptors. (b). Performing Density Functional Theory (DFT) and other QM methods to investigate molecular structure. To meet our purpose, we need candidate with expertise in materials design, development, and analytics using digital approach.

Main Accountabilities

• Collaborate with scientists to conduct modelling and simulation projects, presenting results and insights to stakeholders.
• Adopt AI/ML and deep learning algorithms to develop and test hypotheses relevant to material science.
• Perform laboratory experiments to validate hypotheses and support simulation results.
• Streamline modelling workflows to facilitate the adoption of digital tools, enabling quicker insight generation and decision-making.
• Maintain and expand expertise in materials modelling and simulation by staying updated with the latest research and technological advancements.
• Enhance teams capabilities in materials design, development, and analytics using digital approach.
• Support in managing external research programs and data-driven initiatives to advance material science research.
  
  

• Senior Line manager
• S&T Programme team
• S&T Category Discover Leaders
• Patent attorney
  
  

• B.Tech/M.Tech in Chemical Engineering or master’s degree in chemistry / physics / Material Science
• Specialization in modelling, simulation and ML or minimum 3 years’ experience in modelling and simulation.
• Strong background in quantum mechanics, molecular modeling, and statistical analysis.
  
  

• Experience in QSAR modeling, quantum mechanics & DFT.
• Ability to work multi-functional teams.
• Experience in experimental research preferably in materials science or a related field.
  
  

• Purpose & Service
• Personal Mastery
• Agility