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assistant research scientist

Unilever

<div>
 
 Job Position: Assistant Research Scientist
 
 
 Function: Science &amp; Technology
 
 
 Scope: Beauty and Wellbeing
 
 
 
 
 Location: Bangalore
 
 
 
 
 Business Context and Main Purpose of the Job
 
 
 
 Beauty and Wellbeing (BW) is focused on Unmissable Brand Superiority and Making Market with Multi-Year Innovation Platforms and Excellence with Incremental turnover. Science &amp; Technology (S&amp;T) team is focused on big bets platforms such as Biotechnology, Advanced Materials, using Digital to excel with savings and growth. The role of the Science and Technology (S&amp;T-Physical and Chemical Science-PCS) is to deliver breakthrough &ldquo;Differentiated &amp; Superior Technologies&rdquo; to meet above B&amp;W goals, in key markets and with power brands.
 
 
 S&amp;T-PCS team is employing Advance materials, Substrate Science and Digital to deliver Beautiful, Noticeable, Appearance Benefits to Skin &amp; Hair. Teams focus is to deliver faster and cost-effective Innovations through Advanced Material Pillar using &ldquo;Digital/Modelling&rdquo;. The purpose is to build multiyear digitally transformative innovation roadmap &amp; impactful claims by combining insights driven by (a) Substrate &ndash; Material - Product dynamics (b) Computational Chemistry, Multi scale Modelling. To meet our purpose, we need candidate with expertise in Chemical engineering or Physical Chemistry. The candidate should be able to demonstrate the ability to learning new digital capabilities, work on their own initiative and a desire to develop scientific skills.
 
 
 
 Main Accountabilities
 
 
 
 <ul>
 <li>
 Develop Multi-scale, modelling, Digital Material design capabilities to deliver materials to product and substrate insights
 </li>
 <li>
 Validate Digital insights through In vitro protocols and proof of science.
 </li>
 <li>
 Build pipeline of computational proof of principles based on Material, Product and Substrate
 </li>
 <li>
 Build IP funnel for differentiated &amp; exclusive consumer benefits
 </li>
 <li>
 Delivers effective reporting of scientific data, including peer-reviewed publications
 </li>
 <li>
 Communicate and work closely with global team to incorporate new technologies into product
 </li>
 <li>
 Apply Thought leadership through speed &amp; teamwork
 
 
 </li>
 </ul>
 
 Key Interfaces
 
 
 
 <ul>
 <li>
 S&amp;T Scientists (cross functional expertise)
 </li>
 <li>
 Design platform leaders
 </li>
 <li>
 Patent attorney
 </li>
 <li>
 Academic, Institutional &amp; external partners
 
 
 </li>
 </ul>
 
 Critical success Factors for the Job
 
 
 
 
 Key Skills
 
 
 
 <ul>
 <li>
 Strong hand-on experience in Computational Chemistry, Multiscale Modelling
 </li>
 <li>
 Experience in Material, and Colloid surface science
 </li>
 <li>
 Scientific writing and Literature analysis.
 </li>
 <li>
 Track record of working in collaborations.
 
 
 </li>
 </ul>
 
 Relevant Experience
 
 
 
 <ul>
 <li>
 PhD / Master Computational / Physical Chemistry or Chemical Engineering
 </li>
 <li>
 Hand on experience Computational chemistry &amp; Material design
 
 
 </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.
</div>

Assistant Research Scientist

Syngene International Limited

<div>
 Date: 10 Oct 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Discovery Services
 
 
 
 Job Title: Invivo Pharmacology Scientist
 
 
 
 
 Job Location: Bangalore
 
 
 
 
 JOB PURPOSE (Briefly Describe The Objectives Of The Job)
 
 
 
 Responsible for executing the assigned in vivo efficacy studies in metabolic disorder therapeutic area.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Responsible to conduct assigned research projects including experiments with utilizing current concepts and recognized standard techniques.
 </li>
 <li>
 Responsible to set up the experimental designs, analysis of data and concluding from the progress.
 </li>
 <li>
 Record laboratory observations information in lab notebooks, database and document the experimental designs.
 </li>
 <li>
 Responsible for data analysis, perform calculations for the result of the experiment.
 </li>
 <li>
 Summarize the research and communicate result of research to the supervisor.
 
 
 </li>
 </ul>
 
 Educational Qualification
 
 
 
 <ul>
 <li>
 M.Pharm Pharmacology
 </li>
 <li>
 M.V.Sc Pharmacology / Pathology
 </li>
 <li>
 M.Sc Neuroscience / Biochemistry / Biotechnology
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 0 - 6 years of Industrial experience
 
 
 
 Technical /Functional Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in execution of CNS disease models which includes psychiatric disorders such as anxiety, depression, PTSD etc., and neurological conditions like Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cerebral ischemia and epilepsy.
 </li>
 <li>
 Hands-on experience in animal behavioral observation, quantification of animal behavior, experience in stereotaxic surgery, microdialysis, cannulation techniques, immunohistochemistry and ELISA.
 </li>
 <li>
 Will work independently or in association with senior scientists and other associates in the design and execution of in-vivo efficacy experiments in the relevant therapeutic area.
 </li>
 <li>
 Experience in animals handling (rodents and non rodents) such as dosing by various routes, bleeding by various routes, injections by various routes and surgical modalities which includes cannulation etc&hellip;
 </li>
 <li>
 Associate to provide technical, analysis and reporting outcomes of research for projects in relevant therapeutic area.
 </li>
 <li>
 Organizational skills and the ability to work in a highly collaborative environment are required.
 
 
 </li>
 </ul>
 
 Behavioral/Managerial Skills
 
 
 
 <ul>
 <li>
 Good communication skills
 </li>
 <li>
 Excellent interpersonal skills.
 </li>
 <li>
 Good team player
 </li>
 <li>
 Strong documentation Skills.
 
 
 </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 accommodation for qualified individuals with disabilities.
</div>

in vivo pharmacologist

Alliance University

<div>
 
 Alliance University is a Private University established in Karnataka State by Act No. 34 of the year 2010. The University is recognized by the University Grants Commission (UGC), New Delhi.
 
 
 Alliance University with its vibrant and picturesque campus in Bangalore, India offers multidisciplinary undergraduate and postgraduate majors to students from diverse backgrounds. Alliance Education, defined by excellence through an agile and market-driven approach in the faculties of Management Studies &amp; Commerce; Science &amp; Technology; Humanities, Liberal Arts &amp; Social Sciences is guided by the core values of the University. As a top-ranked university, Alliance University offers programs in Business Management, Engineering, Law, Liberal Arts, Economics, Science, and Applied Mathematics.
 
 
 
 
 
 Alliance University invites applications for its Alliance School of Business from highly accomplished professionals for the position of
 
 Assistant Professor / Associate Professor
 
 in Human Resources Management. The applicant must have a strong academic background and at least eight years of experience in teaching and research at a reputed institution.
 
 
 
 
 
 
 Job Title:
 
 
 Assistant Professor / Associate Professor
 
 &ndash; Human Resources Management
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 <ul>
 <li>
 Continuously enrich the deliverables on learning aims of the curriculum for undergraduate and postgraduate programs.
 </li>
 <li>
 Guide, lead, and mentor students in research projects.
 </li>
 <li>
 Evaluate, monitor, and mentor students&rsquo; academic progress.
 </li>
 <li>
 Create, innovate and implement career-enhancement programs and activities.
 </li>
 <li>
 Assess, review and evaluate student activities and progress.
 </li>
 <li>
 Be instrumental in helping students secure career opportunities in areas of Finance/Marketing/Operations Management/HRM/General Management.
 </li>
 <li>
 Be instrumental in challenging the way students think, learn, and develop their understanding of academic disciplines.
 </li>
 <li>
 Develop core curriculum and deliver course material effectively.
 </li>
 <li>
 Publishing research, attending conferences and delivering presentations to build a strong research network.
 </li>
 <li>
 Make the best use of tools and technologies to facilitate understanding of students.
 </li>
 <li>
 To undertake research, either as an individual or with colleagues, of a level and quality that will result in regular publication in top-ranked international journals.
 </li>
 <li>
 Writing proposals to secure research funding.
 </li>
 <li>
 Organizing seminars and events to interact with established industry professionals.
 </li>
 <li>
 Review methods and teaching materials to make recommendations for improvement.
 </li>
 </ul>
 
 
 
 
 
 Note:
 
 The roles and responsibilities outlined above are not meant to be an exhaustive list of tasks. The need for flexibility is required and the job holder is expected to carry out any other related duties that are within the employee's skills and abilities whenever reasonably required.
 
 
 
 
 
 
 Profile
 
 
 <ul>
 <li>
 Demonstrated interest and competence in establishing courses and teaching at the undergraduate and graduate levels.
 </li>
 <li>
 A strong desire to publish in prestigious journals with the possibility to get outside funding for research initiatives.
 </li>
 <li>
 Ph.D. in Human Resources Management or related areas from a top-notch institution.
 </li>
 <li>
 Demonstrated experience &amp; proven track record in teaching to contribute to the PG/UG courses in Human Resources Management including the supervision of bachelor&rsquo;s and master&rsquo;s theses.
 </li>
 <li>
 Great interpersonal skills with an effective understanding of pedagogical tools and processes.
 </li>
 <li>
 Ability to work in teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 Assistant Professor:
 
 
 <ul>
 <li>
 Doctoral degree in Human Resources Management or related areas from a top-notch institution with strong research and academic background.
 </li>
 <li>
 Bachelor&rsquo;s and master&rsquo;s degrees in Human Resources Management are mandatory.
 </li>
 </ul>
 
 
 
 
 
 
 Associate Professor:
 
 
 <ul>
 <li>
 Minimum 8 years of teaching and research experience with renowned institutions as an Assistant Professor in higher learning.
 </li>
 <li>
 Minimum 7 research publications in highly reputed journals.
 </li>
 </ul>
 
 
 
 
 
 
 Professor:
 
 
 <ul>
 <li>
 Minimum 10 years of teaching and research experience with renowned institutions as a full-time faculty.
 </li>
 <li>
 Minimum 10 research publications in highly reputed journals.
 </li>
 </ul>
 
 
 
 
 
 Eligibility:
 
 
 <ul>
 <li>
 A good academic record, with a Ph.D. degree in the concerned/allied/relevant disciplines.
 </li>
 <li>
 A Master&rsquo;s degree with at least 55% marks (or an equivalent grade on a point scale, wherever the grading system is followed).
 </li>
 </ul>
 
 
 
 
 
 Vacancy:
 
 Multiple vacancies in the Alliance School of Business. Priority would be given to candidates available to join immediately.
 
 
 
 
 
 
 Role:
 
 Teaching &amp; Research
 
 
 
 
 
 
 Compensation &amp; Benefits:
 
 Alliance University offers competitive salaries commensurate with an applicant&rsquo;s qualifications and experience. The University supports research through grants and incentives for publications. Additionally, the University offers subsidized campus housing, food, transport, insurance, and other benefits.
 
</div>

Assistant Professor / Associate Professor - Human Resources Management

AuxoAI

<div>
 AuxoAI is hiring a Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems, including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the full ML lifecycle: model design, training, evaluation, deployment.
 </li>
 <li>
 Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection.
 </li>
 <li>
 Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Build agentic workflows for reasoning, planning, and decision-making.
 </li>
 <li>
 Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark.
 </li>
 <li>
 Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines.
 </li>
 <li>
 Collaborate with product and engineering teams to integrate AI models into business applications.
 </li>
 <li>
 Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience in designing, deploying, and scaling ML/DL systems in production.
 </li>
 <li>
 Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
 </li>
 <li>
 Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines.
 </li>
 <li>
 Familiarity with agent-based development (e. g., ReAct agents, function-calling, orchestration).
 </li>
 <li>
 Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows.
 </li>
 <li>
 Strong software engineering background with experience in testing, version control, and APIs.
 </li>
 <li>
 Proven ability to balance innovation with scalable deployment.
 </li>
 <li>
 B. S. /M. S. /Ph. D. in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Bonus: Open-source contributions, GenAI research, or applied systems at scale.
 
 
 </li>
 </ul>
 This job was posted by Anupam Arya from AuxoAI.
</div>

Data Scientist - AI / ML

Morgan Stanley

<div>
 
 Morgan Stanley
 
 
 
 
 Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering
 
 
 
 We&rsquo;re seeking someone to join our team as Vice President - Data Scientist to help with designing and implementing complex Machine Learning and Artificial Intelligence models and solving business problems using various Analytical and AI tools.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice President level, which is part of the job family
 
 
 responsible for developing and maintaining software solutions that support business needs.
 
 
 Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST&rsquo;s &lsquo;clients&rsquo; include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.
 
 
 Advisory is responsible for end-to-end process life cycle support for Investment Banking, Global Capital Markets and Research with a focus on efficiency, scale, and time to market. Sales Distribution develops technology for the firm's IED and FID Sales and Distribution business units, creating application synergies across the businesses various platforms
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions
 </li>
 <li>
 The role will require the candidate to work independently with Research business and vendors on analysing and defining problem statements, and work closely with development teams on designing and implementing the solution and managing the delivery of various products.
 </li>
 <li>
 Provide technical leadership and vision for software development projects.
 </li>
 <li>
 Define technical architecture and roadmap for large-scale, mission-critical systems.
 </li>
 <li>
 Establish and communicate departmental goals and objectives aligned with business priorities.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <li>
 Ability to effectively manage multiple functions or guide junior staff and initiatives.
 </li>
 <li>
 Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
 </li>
 <ul>
 <li>
 10+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 <li>
 Supervised &amp; Unsupervised Learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, HybridRAG, Chunking/Embedding, and Fine Tuning experience with OpenAI models and open source LLMs
 </li>
 <li>
 Natural Language Processing (Sentiment Analysis, Embeddings, Summarization, Chatbot etc.)
 </li>
 <li>
 Entity identification/extraction and knowledge discovery from structured and unstructured content
 </li>
 <li>
 Expert in Python, R, Spark, TensorFlow, Snowflake, Databricks and other machine learning / LLM tools
 </li>
 <li>
 Familiar with noSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environments
 </li>
 <li>
 Excellent communication skills and basic knowledge in finance
 </li>
 <li>
 PhD or Master&rsquo;s degree in Mathematics, Statistics, Data Science, Computer Science, or other related fields
 </li>
 <li>
 At least 6 years' relevant experience would generally be expected to find the skills required for this role
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering

Data Scientist, Product Analytics

Meesho

<div>
 
 About The Team
 
 
 
 Our Data Science team is the Avengers to Meesho&rsquo;s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We&rsquo;ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
 
 
 Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
 
 
 As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
 
 
 But wait &ndash; there&rsquo;s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting &ldquo;Summer of 69&rdquo; at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️
 
 
 
 About The Role
 
 
 
 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
 
 
 In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Develop models and run experiments to infer insights from hard data
 </li>
 <li>
 Improve our product usability and identify new growth opportunities
 </li>
 <li>
 Understand reseller preferences to provide them with the most relevant products
 </li>
 <li>
 Designing discount programs to help our resellers sell more
 </li>
 <li>
 Help resellers better recognise end-customer preferences to improve their revenue
 </li>
 <li>
 Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
 </li>
 <li>
 Model seasonal demand to predict key organisational metrics
 </li>
 <li>
 Mentor junior data scientists in the team
 
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in computer science (or similar degrees)
 </li>
 <li>
 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
 </li>
 <li>
 Familiarity with Neural Networks, Machine Learning, etc
 </li>
 <li>
 Familiarity with tools like SQL, R, Python, etc.
 </li>
 <li>
 Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors
 </li>
 <li>
 Experience designing and running A/B tests and drawing insights from them
 </li>
 <li>
 Proficiency in machine learning algorithms
 </li>
 <li>
 Excellent analytical skills to fetch data from reliable sources to generate accurate insights
 </li>
 <li>
 Experience in tech and product teams is a plus
 
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Experience in working on personalization or other ML problems
 </li>
 <li>
 Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
 </li>
 </ul>
</div>

Data Scientist II

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