scientist i, protein biology Jobs in Mangaluru

scientist i, protein biology

in vivo pharmacologist

senior scientist

scientist i protein biology

Thermo Fisher Scientific

<div>
 
 Work Schedule
 
 
 
 Standard (Mon-Fri)
 
 
 
 Environmental Conditions
 
 
 
 Cold Room/Freezers -22degreesF/-6degrees C, Laboratory Setting, Office, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.)
 
 
 
 Job Title: Scientist-I, Protein Biology
 
 
 
 
 Job Location:
 
 India, Bangalore
 
 
 
 About Company:
 
 
 
 Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with an annual revenue of approximately $44 billion. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
 
 
 
 About Team:
 
 Protein Biology
 
 
 The Protein Biology team is involved in large-scale functional validation of antibodies, with a deep focus on reagent quality and specificity. The core activities of the team include data mining and processing, Western blotting with state-of-art tools, high efficiency and high-resolution immuno-fluorescence imaging, immunohistochemistry, ChIP (Chromatin Immunoprecipitation), and gene-silencing to provide advance application tags to our antibody portfolio. The program's goal is high-quality product validation and product information creation to promote research use.
 
 
 
 Role &amp; Responsibilities
 
 
 
 
 Purpose:
 
 Contribute to the antibody validation workflow. Understand target biology validation and validate antibodies for reproducibility using innovative methods and crafting data sets to enable market differentiation. The role of the successful candidate would entail demonstrating scientific proficiency in experimental planning and execution. Prior experience in working in a research team, with a proven track record of setting goals, handling work-related customer concerns, and ensuring timely delivery in alignment with the program goals. Proficiency in verbal and written communication of results in the workplace is helpful.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Knowledge of key aspects of protein biology, to deliver results on antibody validation and characterization.
 </li>
 <li>
 Meticulous experimental design to meet program goals.
 </li>
 <li>
 Excellent record keeping of results in data sheets and laboratory notebooks.
 </li>
 <li>
 Regular mining of literature and keeping oneself up to date with developments in the field of antibody validation.
 </li>
 <li>
 Compilation and presentation of data in written and oral formats; active participation in team meetings.
 </li>
 <li>
 Attention to detail and adherence to schedules.
 
 
 </li>
 </ul>
 
 Candidate Requirement:
 
 
 
 
 Education &amp; Experience levels:
 
 
 
 Applicants should have a Masters&rsquo; degree with 2-5 years of experience or a PhD in immunology, biochemistry, biotechnology or molecular biology.
 
 
 
 Skills:
 
 
 
 <ul>
 <li>
 Familiar with experimental workflow in cell and molecular biology, with experience in the design and development of protein assays.
 </li>
 <li>
 Protein-protein interaction (using co-immunoprecipitation), or development of immunoassays.
 </li>
 <li>
 Proven experience in immunoassays such as Western blotting, Immunofluorescence, Immunohistochemistry, Flow cytometry and/or ELISA.
 </li>
 <li>
 Communication of research data and providing expert-level technical troubleshooting to resolve scientific problems.
 </li>
 <li>
 Good understanding of computational biology tools and basic knowledge of databases and programming languages.
 
 
 </li>
 </ul>
 Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer a company culture that stands for integrity, intensity, involvement, and innovation!
 
 
 Thermo Fisher is committed to crafting a diverse work environment that values and respects individuals from all backgrounds. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
 
 
</div>

Scientist I, Protein Biology

<div>
 
 Work Schedule
 
 
 
 Standard (Mon-Fri)
 
 
 
 Environmental Conditions
 
 
 
 Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.)
 
 
 About Team: Antibody team
 
 
 The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of the team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using pioneering tools and technologies. The goal of the program is advanced product development and creation of product specific information to promote research use.
 
 
 Role &amp; Responsibilities
 
 
 
 Role:
 
 
 
 
 To be an integral part of an antibody development team with a focus on performance and specificity using innovative molecular, protein, biochemical and cell biology methods.
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Meticulous experimental planning and execution to meet program goals.
 </li>
 <li>
 Timely record keeping of results into data sheets and laboratory note-books.
 </li>
 <li>
 Regular mining of literature and keeping oneself up to date with developments in field of antibody development.
 </li>
 <li>
 Compilation and presentation of data in written and oral formats. Active participation in team meetings.
 </li>
 <li>
 Attention to detail and adherence to schedules.
 
 
 </li>
 </ul>
 Candidate Requirement:
 
 
 
 Education &amp; Experience levels:
 
 
 
 Applicants should have Masters with 0-4 years confirmed experience or a PhD in a life sciences field (submitted within the last one year) with a strong focus on protein biology, antibody and protein conjugations, protein design, protein purification, molecular biology, immunology, biotechnology or biochemistry.
 
 
 Nature of experience:
 
 
 <ul>
 <li>
 Strong theoretical and working knowledge of protein and antibody conjugation chemistries
 </li>
 <li>
 Hands on experience in performing protein or antibody conjugations to dyes, labels reporter tags
 </li>
 <li>
 Experience with development of new conjugation protocols, and design of sote specific conjugation strategies is desirable
 </li>
 <li>
 Experience and knowledge in protein purification and analysis technologies such as affinity or ion exchange chromatography, SEC, HPLC, and SDS-PAGE.
 </li>
 <li>
 Experience or familiarity with antibody or protein engineering, rational design of mutants, and molecular biology. Experience with structural biology and protein modeling and visualization tools such as Pymol, Shrodinger, Discovery Studio or other such programs is desirable.
 </li>
 <li>
 Theoretical or practical experience in antibody development platforms is desirable.
 </li>
 <li>
 Project or work experience in support of relevant skills such as publications, project reports or thesis work.
 </li>
 <li>
 Proficient in MS Office applications such as Word, Powerpoint, Excel and possess a strong statistical knowledge and familiarity with statistical software such as Prism.
 
 
 </li>
 </ul>
 The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate with the ability to work with diverse colleagues.
 
 
 Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
 
 
 We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
 
 
 ThermoFisher is committed to crafting a diverse work environment that values and respects individuals from all backgrounds. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
 
 
</div>

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

NoPo Nanotechnologies

<div>
 
 NoPo Nanotechnologies is seeking a Senior Scientist with 5-10 years of hands-on experience in developing advanced polymer formulations incorporating nano tubes, particularly single-walled carbon nano tubes (SWCNTs). This role involves pioneering techniques for dispersing SWCNTs in various organic and inorganic solvents and integrating these dispersed nano tubes into diverse polymer matrices such as thermosetting and thermoplastic polymers to achieve enhanced material properties.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Develop and optimize practical, usable polymer-nanotube blends with superior mechanical, electrical, or thermal properties.
 
 
 </li>
 <li>
 
 Employ deep understanding of polymer-nanotube interactions to tailor formulations.
 
 
 </li>
 <li>
 
 Innovate dispersion methods for SWCNTs in multiple solvent systems to achieve uniform integration.
 
 
 </li>
 <li>
 
 Collaborate intensively with the R&amp;D team and work closely with operations and scale-up teams to ensure scalable production of multiple product lines.
 
 
 </li>
 <li>
 
 Deliver lab-scale prototypes and scale-up support to meet operational requirements.
 
 
 </li>
 <li>
 
 Maintain rigorous laboratory practices and documentation as this is a very hands-on experimental role.
 
 
 </li>
 </ul>
 
 Preferred Experience and Skills:
 
 
 <ul>
 <li>
 
 Proven expertise working with carbon nano tubes and polymer blends.
 
 
 </li>
 <li>
 
 Extensive laboratory experience in polymer synthesis, formulation, and characterization.
 
 
 </li>
 <li>
 
 Strong knowledge of thermosetting and thermoplastic polymers.
 
 
 </li>
 <li>
 
 Ability to translate scientific insights into commercially viable product solutions.
 
 
 </li>
 <li>
 
 Experience in working with cross-functional teams in R&amp;D and manufacturing environments.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 Educational Qualifications:
 
 </ul>
 <ul>
 <li>
 
 Master&rsquo;s or higher degree in Polymer Science, Materials Science, Chemical Engineering, or related field.
 
 
 </li>
 </ul>
 
 This role is based at NoPo Nanotechnologies and requires a motivated, detail-oriented scientist passionate about nano materials and polymer science who thrives in a collaborative, innovation-driven environment.
 
 
 
 
 
 Benefits
 
 
 Best In the Industry
 
 
</div>

Senior R&D Scientist - Polymers & Nanotubes

Healthify

<div>
 
 Healthify is one of India&rsquo;s largest healthcare and wellness platforms, trusted by millions of users. The company helps people transform their health through personalized nutrition, fitness coaching, and medical-led weight management (including GLP-1 based plans), along with various smart health programs.
 
 
 The mission is simple: to make healthy living accessible, personalized, and truly impactful.
 
 
 Design plays a key role in communicating this vision &mdash; visually, clearly, and at scale.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Graphic Designer at Healthify, you&rsquo;ll create designs that reach every part of the ecosystem, including:
 
 <ul>
 <li>
 End-to-end campaign creatives for sales, seasonal events, and new launches.
 </li>
 <li>
 Social media graphics for Instagram, Facebook, YouTube, and LinkedIn.
 </li>
 <li>
 Performance marketing ads for Meta, Google, and other digital platforms.
 </li>
 <li>
 E-commerce creatives for store promotions (protein, snacks, scale, CGM, and more).
 </li>
 <li>
 Packaging design and offline collaterals (flyers, print ads, standees, etc.).
 </li>
 <li>
 In-app creatives such as banners, feature launches, and UX-led visuals.
 </li>
 <li>
 Collaboration with growth, marketing, product, and coaching teams to deliver sharp, brand-aligned visuals.
 </li>
 <li>
 Maintenance and improvement of design systems for brand consistency.
 </li>
 <li>
 Use of AI tools to accelerate workflows, generate concepts, and enhance output.
 </li>
 </ul>
 
 
 Who We&rsquo;re Looking For
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a graphic designer for consumer-facing brands (health-tech, D2C, e-commerce, or agency experience preferred).
 </li>
 <li>
 A strong portfolio showcasing clarity, minimalism, and customer-centered design thinking.
 </li>
 <li>
 Proficiency in Figma (primary tool) and hands-on experience with the Adobe Suite.
 </li>
 <li>
 Familiarity with AI tools for design automation and enhancement.
 </li>
 <li>
 Motion or animation skills are an added advantage.
 </li>
 <li>
 Ability to maintain and scale design systems for consistent brand identity.
 </li>
 <li>
 Comfortable handling multiple briefs and tight deadlines with calm and organization.
 </li>
 <li>
 Strong communication, collaboration, and teamwork skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on high-impact health campaigns that genuinely make a difference in people&rsquo;s lives.
 </li>
 <li>
 Collaborate across diverse teams &mdash; marketing, product, medical, coaching, e-commerce, and studio.
 </li>
 <li>
 Thrive in a fast-paced environment that encourages quick learning, experimentation, and innovation.
 </li>
 <li>
 Opportunity to work on varied projects &mdash; from performance ads to packaging design.
 </li>
 <li>
 Join a creative team that values originality and embraces bold, smart ideas.
 </li>
 </ul>
 
 
</div>

Graphic Designer

Licious

<div>
 
 Data Scientist
 
 
 
 
 
 Licious is a fast-paced, innovative D2C brand revolutionizing the meat and seafood
 
 
 industry in India. We leverage cutting-edge technology, data science, and customer
 
 
 insights to deliver unmatched quality, convenience, and personalization. Join us to
 
 
 solve complex problems at scale and drive data-driven decision-making!
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Data Scientist with 5+ years of experience to build and deploy
 
 
 advanced ML models (LLMs, Recommendation Systems, Demand Forecasting) and
 
 
 generate actionable insights. You will collaborate with cross-functional teams (Product,
 
 
 Supply Chain, Marketing) to optimize customer experience, demand prediction, and
 
 
 business growth.
 
 
 
 
 
 Key Responsibilities:
 
 
 1. Machine Learning &amp; AI Solutions:
 
 
 ● Develop and deploy Large Language Models (LLMs) for customer support
 
 
 automation, personalized content generation, and sentiment analysis.
 
 
 ● Enhance Recommendation Systems (collaborative filtering, NLP-based,
 
 
 reinforcement learning) to drive engagement and conversions.
 
 
 ● Build scalable Demand Forecasting models (time series, causal inference) to
 
 
 optimize inventory and supply chain.
 
 
 2. Data-Driven Insights:
 
 
 ● Analyze customer behavior, transactional data, and market trends to uncover
 
 
 growth opportunities.
 
 
 ● Create dashboards and reports (using Tableau/Power BI) to communicate
 
 
 insights to stakeholders.
 
 
 3. Cross-Functional Collaboration:
 
 
 ● Partner with Engineering to productionize models (MLOps, APIs, A/B testing).
 
 
 ● Work with Marketing to design hyper-personalized campaigns using CLV, churn
 
 
 prediction, and segmentation.
 
 
 4. Innovation &amp; Scalability:
 
 
 ● Stay updated with advancements in GenAI, causal ML, and optimization
 
 
 techniques.
 
 
 ● Improve model performance through feature engineering, ensemble methods,
 
 
 and experimentation.
 
 
 
 
 
 Qualifications:
 
 
 ● Education: BTech/MTech/MS in Computer Science, Statistics, or related fields.
 
 
 ● Experience: 4+ years in Data Science, with hands-on expertise in:
 
 
 &cir; LLMs (GPT, BERT, fine-tuning, prompt engineering).
 
 
 &cir; Recommendation Systems (matrix factorization, neural CF, graph-based).
 
 
 &cir; Demand Forecasting (ARIMA, Prophet, LSTM, Bayesian methods).
 
 
 &cir; Python/R, SQL, PySpark, and ML frameworks (TensorFlow, PyTorch, scikit-
 
 
 learn).
 
 
 &cir; Cloud platforms (AWS/GCP) and MLOps tools (MLflow, Kubeflow).
 
 
 
</div>

Data Scientist 2

Intuit

<div>
 
 Overview
 
 
 
 Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from &lsquo;000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drives architecture decisions, influences and contributes to ML platform architecture and strategy
 </li>
 <li>
 Creates a multi-year vision that connects product strategy with technology strategy
 </li>
 <li>
 Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company
 </li>
 <li>
 Leads team&rsquo;s work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains.
 </li>
 <li>
 Weighs ROI considerations of general and tailored capabilities for projects in the team
 </li>
 <li>
 Creates new capabilities and technology shifts that solve critical business problems
 </li>
 <li>
 Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
 </li>
 <li>
 Influences business leaders and architects around the company to shape mission-critical projects
 </li>
 <li>
 Leads team and partners to the successful delivery and integration of ML solutions
 </li>
 <li>
 Conducts design reviews, and holds teams to technical and operational rigor.
 </li>
 <li>
 Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience
 </li>
 <li>
 Solid knowledge of statistical techniques
 </li>
 <li>
 3+ years as either a lead in a data science role or a management position in data science
 </li>
 <li>
 Strong communication skills and proven experience as an influencer at the executive level
 </li>
 <li>
 Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
 </li>
 <li>
 6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
 </li>
 <li>
 6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)
 
 
 </li>
 </ul>
 
 Strongly Preferred
 
 
 
 <ul>
 <li>
 PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
 </li>
 <li>
 Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
 </li>
 <li>
 Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
 </li>
 <li>
 Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
 </li>
 <li>
 Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
 </li>
 <li>
 Proven track record of influencing business leaders to shape mission-critical projects
 </li>
 <li>
 Proven track record of leading teams to successful delivery of ML solutions
 </li>
 <li>
 Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

Principal AI Scientist

Explore 51+ Scientist i protein biology in Mangaluru this December. Find roles across top companies and apply now to boost your career.

51 scientist i protein biology jobs IN Mangaluru

Scientist I, Protein Biology

Scientist I, Protein Biology

Data Scientist II

Senior R&D Scientist - Polymers & Nanotubes

Graphic Designer

Data Scientist 2

Principal AI Scientist