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scientist i, protein biology Jobs in Mangaluru

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assistant research scientist

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

Apotex Corp.

<div>
 
 About Apotex Inc.
 
 
 
 Apotex is a Canadian-based global health company. We improve everyday access to affordable, innovative medicines and health products for millions of people worldwide, with a broad portfolio of generic, biosimilar, innovative branded pharmaceuticals and consumer health products. Headquartered in Toronto, with regional offices globally, including in the United States, Mexico and India, we are the largest Canadian-based pharmaceutical company and a health partner of choice for the Americas for pharmaceutical licensing and product acquisitions.
 
 
 For more information visit: www.apotex.com.
 
 
 
 Job Summary
 
 
 
 To supervise scale-up, exhibit, and process validation batches for successful execution, and ensure the efficient transfer of technology of products developed at Apotex Research Pvt. Ltd.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Responsible for tech-transfer of injectable and ophthalmic formulations from R&amp;D to commercial scale
 </li>
 <li>
 Gap analysis - To evaluate the product feasibility, technology feasibility at manufacturing site along with gap analysis with available technology for site readiness
 </li>
 <li>
 Documentation &ndash; Onsite documentation, and timely execution of scaleup, exhibit and validation batches
 </li>
 <li>
 Risk assessment &ndash; To carry out the risk assessment to identify the impact of critical process parameters and critical material attributes
 </li>
 <li>
 To design and review the sampling plan for scaleup, process optimization and submission batches
 </li>
 <li>
 To study and verify the parameters established during development are still with in the determined design space in scaleup and exhibit batches
 </li>
 <li>
 To coordinate with other departments at plant in completing scaleup and exhibit batch related activities
 </li>
 <li>
 In coordination with CMO and PM, ensure the availability of raw materials, packaging materials, filters, tubings etc. required for scale-up, exhibit and commercial batches before initiation of execution
 </li>
 <li>
 Compile the batch orsevations and prepare the report of scale-up, EB and commercial/PV batches
 </li>
 <li>
 To ensure smooth technology transfer of products developed at Apotex to CMO
 </li>
 <li>
 Technical support to formulation development team
 </li>
 <li>
 Involve in formulation development activities and assist in development of scaleable manufacturing process
 </li>
 <li>
 Review and compilation of the developmental plant scale batches data and stability results
 </li>
 <li>
 Coordination with different cross-functional teams like AD, procurement, QA, packing, regulatory affairs, project management for smooth execution of scale-up batches
 </li>
 <li>
 Coordination with external labs for successful completion and receipt of studies data performed for plant scale batches
 </li>
 <li>
 Review of MFR, BMR, BPR, stability protocols, study protocols and reports, Executed BMR, BPR,
 </li>
 <li>
 Issuance, maintenance, writing, review of raw data, completeness check and archival of laboratory notebook
 </li>
 <li>
 Coordination with vendor and internal service engineer for installation, calibration, maintenance and trouble shooting
 </li>
 <li>
 Report to next level manager regarding day to day activities.
 </li>
 <li>
 Preparation of SOPs and ensure compliance as per SOP
 </li>
 <li>
 Take up any other work as allotted
 
 
 </li>
 </ul>
 Job Requirements
 
 
 <ul>
 <li>
 Education
 </li>
 <ul>
 <li>
 D /M Pharma in Pharmaceutics/B.Pharma.
 </li>
 </ul>
 <li>
 Knowledge, Skills and Abilities
 </li>
 <ul>
 <li>
 Must have experience in development and tech-transfer of injectable and ophthalmic and complex drug products
 </li>
 <li>
 Effective command over verbal and written communication with good interpersonnel skills.
 </li>
 <li>
 Engage with CMO partners and support the group submission plans
 </li>
 <li>
 Proficient in MS office and advanced software tools.
 </li>
 <li>
 Having well versed knowledge on regulatory guidelines
 </li>
 <li>
 Able to priortise the task, best in effective planning of work activities to meet the timelines.
 </li>
 </ul>
 <li>
 Experience
 </li>
 <ul>
 <li>
 Minimum 6 to 10+ years of experience in Injectable and Ophthalmic dosage forms in area of Development, Manufacturing and technology transfer expertise for CMO.
 
 </li>
 </ul>
 </ul>
 At Apotex, we are committed to fostering a welcoming and accessible work environment, where all everyone feels valued, respected, and supported to succeed.
 
 
 We offer accommodation for applicants with disabilities as part of its recruitment process. If you are contacted to arrange for an interview or testing, please advise us if you require an accommodation.
</div>

Lead Research Scientist - Technology transfer

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

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

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

Auxia

<div>
 
 Auxia is building the
 
 Agentic Customer Journey Orchestration Platform
 
 , redefining how enterprises activate, engage, and retain their customers through intelligent, adaptive AI systems. Backed by
 
 $23.5M in funding
 
 from top-tier investors &mdash; VMG Technology Partners, Stage 2 Capital, and MUFG Innovation Partners &mdash; we&rsquo;re on a mission to make every enterprise truly intelligent.
 
 
 Our founders,
 
 Sandeep Menon (ex-VP Marketing, Google)
 
 and
 
 Ravi Desu (ex-Global Engineering Lead, WhatsApp Payments @ Meta)
 
 , are building Auxia with the same ambition and technical excellence that powered global platforms used by billions.
 
 
 Today, Auxia powers
 
 3B+ daily events
 
 ,
 
 6,500 queries per second
 
 , and
 
 250M+ decisions per day
 
 , helping global enterprises like
 
 DOCOMO, Mercari, and MUFG
 
 unlock the full potential of their first-party data.
 
 
 
 
 
 
 Your Impact
 
 
 
 You won&rsquo;t just be joining a data science team &mdash; you&rsquo;ll be shaping the future of autonomous, AI-driven personalization. As a
 
 Staff Data Scientist
 
 , you&rsquo;ll lead innovation at the intersection of recommender systems, causal inference, reinforcement learning, and LLM-based personalization. Your work will directly influence how millions of end-users experience hyper-personalized content in real time.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 &bull; Architect and advance large-scale recommender and ranking models powering adaptive customer journeys.
 
 
 &bull; Design and deploy autonomous agents that understand goals, make real-time decisions, and continuously optimize engagement.
 
 
 &bull; Partner with engineering and product leaders to translate cutting-edge AI research into scalable systems.
 
 
 &bull; Lead experimentation frameworks that bridge causality, personalization, and business impact.
 
 
 &bull; Mentor across teams &mdash; setting the data science bar for both experimentation and productization.
 
 
 &bull; Stay ahead of the curve by bringing ideas from academia and industry research into production.
 
 
 
 
 
 
 What You Bring
 
 
 
 &bull; M.Tech/PhD or related course in Computer Science, Machine Learning, or a related field.
 
 
 &bull; 10+ years of experience building and deploying production ML systems at scale.
 
 
 &bull; Deep expertise in personalization, ranking, recommendation, causal inference, and transformers.
 
 
 &bull; Mastery of PyTorch / TensorFlow / JAX, and the Python data ecosystem (NumPy, Pandas, SciPy).
 
 
 &bull; Strong applied experience with LLMs, RAG, information retrieval, and reinforcement learning.
 
 
 &bull; Strong product sense, with the ability to balance research depth and real-world impact.
 
 
 &bull; An entrepreneurial, ownership-driven mindset &mdash; the ability to ship, iterate, and scale models fast.
 
 
 
 
 
 
 Why Auxia
 
 
 
 &bull;
 
 Impact
 
 &ndash; Be at the forefront of Agentic AI, driving the evolution of enterprise personalization &mdash; from manual segmentation to self-learning systems.
 
 
 &bull;
 
 Influence
 
 &ndash; Work directly with Auxia&rsquo;s founders and leadership team, alongside ex-Google, Meta, and Lyft engineers. Your insights will shape both our roadmap and the future of enterprise AI.
 
 
 &bull;
 
 Growth
 
 &ndash; A pivotal role in a high-growth AI company scaling rapidly across the U.S. and Japan, with exposure to Fortune 500 customers and industry-defining challenges.
 
 
 &bull;
 
 Work Environment
 
 
 
 ➜ 100% Onsite, Bellandur, Bangalore (5 days/week) &ndash; because innovation thrives in collaboration.
 
 
 ➜ Fast-moving, research-driven environment where ideas turn into production within weeks.
 
 
 ➜ A team that believes in freedom with accountability &mdash; great minds solving hard problems, together.
 
 
 &bull;
 
 Diversity, Equity &amp; Inclusion
 
 
 
 At Auxia, we are committed to building a workplace that celebrates diversity, fosters inclusion, and ensures equal opportunity. We welcome applicants from all backgrounds, regardless of race, gender, religion, age, sexual orientation, or disability.
 
 
 
 
 
 
 Ready to Join the Journey?
 
 
 
 Auxia is not just a company &mdash; it&rsquo;s a movement to make every customer interaction intelligent, adaptive, and human.
 
 
 If you&rsquo;re driven by deep technical challenges, global impact, and the chance to build with some of the sharpest minds from Google, Meta, and Lyft, this is your next big leap.
 
</div>

Staff Data Scientist

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

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