48 Scientific Assistant jobs in India
Principal Scientific Research Lead
Posted 15 days ago
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Job Description
This role requires a profound understanding of scientific methodologies, experimental design, and data analysis, coupled with a proven ability to manage multiple research projects simultaneously. You will also be responsible for ensuring compliance with all ethical guidelines, safety protocols, and regulatory requirements. The Principal Lead will play a key role in establishing and maintaining collaborations with academic and industrial partners, expanding the institution's research network. We are looking for an individual with exceptional leadership qualities, strong communication and interpersonal skills, and a passion for pushing the boundaries of scientific knowledge. The position is based at our advanced research facility in **Indore, Madhya Pradesh, IN**, with a hybrid work arrangement that encourages both focused independent work and collaborative team engagement. This is a unique opportunity to shape the future of scientific discovery.
Qualifications:
- Ph.D. in a relevant scientific discipline (e.g., Molecular Biology, Genetics, Biochemistry).
- A minimum of 12-15 years of post-doctoral research experience, with a significant portion in a leadership or Principal Investigator role.
- Demonstrated success in obtaining research grants and managing research budgets.
- Exceptional publication record in high-impact journals.
- Proven experience in mentoring and leading research teams.
- Expertise in strategic research planning and execution.
- Excellent communication, presentation, and interpersonal skills.
- Strong understanding of scientific ethics and regulatory compliance.
Scientific Research Fellow - Biomedical Innovations
Posted 7 days ago
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Job Description
Responsibilities:
- Conduct experimental research in assigned areas of biomedical innovation, including laboratory work and data collection.
- Design and execute experiments using advanced molecular and cellular biology techniques.
- Analyze and interpret experimental data, employing statistical methods and bioinformatics tools.
- Contribute to the development of new research methodologies and protocols.
- Prepare research reports, presentations, and contribute to manuscript preparation for peer-reviewed publications.
- Collaborate effectively with senior researchers, post-doctoral fellows, and other members of the research team.
- Maintain accurate laboratory notebooks and records of experimental procedures and results.
- Stay up-to-date with the latest scientific literature and advancements in relevant fields.
- Assist in the maintenance of laboratory equipment and supplies.
- Present research findings at internal seminars and potentially external scientific meetings.
- Ph.D. or a Master's degree in Molecular Biology, Genetics, Biomedical Science, Biotechnology, or a related field.
- Postdoctoral experience or 3-5 years of research experience in a relevant laboratory setting.
- Proven experience with techniques such as PCR, qPCR, Western blotting, ELISA, cell culture, and gene sequencing.
- Familiarity with bioinformatics tools and data analysis software is a strong advantage.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to clearly articulate scientific concepts.
- Ability to work independently and collaboratively in a research team environment.
- Commitment to adhering to scientific rigor and ethical research practices.
- Experience in areas like CRISPR technology, single-cell analysis, or advanced imaging is a plus.
Senior Scientific Research & Development Engineer
Posted 8 days ago
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Job Description
Responsibilities:
- Lead and manage R&D projects from concept to completion.
- Design, develop, and implement novel scientific and engineering solutions.
- Conduct feasibility studies and technical assessments.
- Oversee the creation and testing of prototypes and proof-of-concept systems.
- Analyze experimental data and interpret results to inform decision-making.
- Collaborate with cross-functional teams, including scientists and engineers.
- Identify and evaluate new technologies and methodologies.
- Contribute to the development of intellectual property (patents).
- Mentor junior engineers and technical staff.
- Prepare detailed technical reports, documentation, and presentations.
Qualifications:
- Ph.D. or Master's degree in Engineering (e.g., Mechanical, Electrical, Chemical, Materials Science) or a related scientific field.
- Minimum of 7-10 years of progressive experience in scientific research and development.
- Demonstrated experience in leading R&D projects and teams.
- Expertise in relevant scientific principles and engineering disciplines.
- Strong analytical, problem-solving, and critical thinking skills.
- Proficiency in simulation, modeling, and data analysis software.
- Excellent written and verbal communication skills.
- Ability to communicate complex technical concepts effectively.
- Proven ability to innovate and develop practical solutions.
- Experience with intellectual property development is a plus.
Senior Data Scientist - Scientific Research
Posted 17 days ago
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Job Description
Senior Bioinformatician - Scientific Research & Development
Posted 23 days ago
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Job Description
Key Responsibilities:
- Design, implement, and maintain bioinformatics pipelines for high-throughput sequencing data analysis.
- Perform complex statistical analyses and develop novel computational approaches to address biological questions.
- Interpret and present research findings to internal teams and external collaborators.
- Develop and curate biological databases and ontologies.
- Collaborate with experimental biologists, clinicians, and other researchers to define project goals and analytical strategies.
- Contribute to the writing of research grants, manuscripts, and technical reports.
- Provide guidance and mentorship to junior bioinformaticians and research staff.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Manage data integrity, security, and accessibility for research projects.
- Develop and optimize software tools and scripts for data analysis and visualization.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of relevant experience in bioinformatics or computational biology research.
- Strong programming skills in languages such as Python, R, Perl, or C/C++.
- Proficiency in using bioinformatics software and databases (e.g., BLAST, Ensembl, NCBI databases).
- Experience with statistical analysis and machine learning techniques applied to biological data.
- Hands-on experience with various next-generation sequencing (NGS) data types and analysis platforms.
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
- Excellent written and verbal communication skills, with a strong publication record.
- Ability to work independently and as part of a collaborative research team.
- Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced research environment.
Remote Senior Data Scientist - Scientific Research
Posted 5 days ago
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Job Description
Responsibilities:
- Design and implement sophisticated statistical models and machine learning algorithms to analyze large, complex scientific datasets.
- Develop data pipelines and processes for data acquisition, cleaning, transformation, and feature engineering.
- Collaborate with research scientists and domain experts to understand research questions and translate them into data-driven solutions.
- Visualize data and model results to communicate findings effectively to both technical and non-technical audiences.
- Identify opportunities for novel research through data exploration and hypothesis testing.
- Develop and deploy predictive models for scientific applications.
- Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
- Contribute to research publications and present findings at scientific conferences.
- Mentor junior data scientists and contribute to the team's technical growth.
- Ensure the reproducibility and integrity of data analysis and model development.
- Ph.D. or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Physics, Bioinformatics, or a related discipline.
- Minimum of 5 years of experience in data science, with a strong emphasis on scientific research or R&D environments.
- Proficiency in programming languages like Python or R, and associated data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Extensive experience with statistical modeling, machine learning techniques, and experimental design.
- Strong understanding of data manipulation, database querying (SQL), and big data technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and collaborate effectively in a remote team environment.
- Strong communication and presentation skills, with the ability to explain complex findings clearly.
- Experience with scientific visualization tools and techniques.
- Published research or contributions to open-source scientific projects are highly valued.
Senior Scientific Research Fellow - Advanced Materials
Posted 16 days ago
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Job Description
Responsibilities:
- Conduct independent and collaborative research in the field of advanced materials, focusing on synthesis, characterization, and application.
- Design and execute experiments to develop novel materials with specific desired properties (e.g., electrical, optical, mechanical, thermal).
- Utilize advanced characterization techniques such as spectroscopy (e.g., NMR, FTIR, UV-Vis), microscopy (e.g., SEM, TEM), X-ray diffraction (XRD), and thermal analysis.
- Analyze and interpret complex experimental data to draw meaningful conclusions and guide future research directions.
- Prepare high-quality scientific manuscripts for publication in peer-reviewed journals and present research findings at national and international conferences.
- Contribute to the writing of grant proposals to secure funding for research projects.
- Mentor junior researchers, post-doctoral fellows, and graduate students.
- Collaborate with interdisciplinary teams to explore potential applications of developed materials.
- Ensure compliance with laboratory safety protocols and ethical research practices.
- Manage research equipment and laboratory resources efficiently.
- Stay abreast of the latest scientific literature and technological advancements in materials science.
- Ph.D. in Materials Science, Chemistry, Physics, or a closely related scientific discipline.
- Minimum of 5-7 years of post-doctoral research experience in advanced materials development and characterization.
- Strong publication record in reputable scientific journals and demonstrated ability to present research at conferences.
- Expertise in synthesis techniques for a variety of materials (e.g., polymers, nanoparticles, composites, ceramics).
- Proficiency in operating and interpreting data from advanced characterization instruments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a collaborative research team.
- Experience in leading research projects and mentoring junior scientists is highly desirable.
- Knowledge of computational materials science or modeling is a plus.
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Remote Senior Data Scientist, Scientific Research & Development
Posted 10 days ago
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Key Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze large and complex scientific datasets to identify patterns, trends, and insights.
- Design and execute experiments to validate hypotheses and test model performance.
- Collaborate with research scientists and domain experts to define analytical requirements.
- Build and maintain data pipelines for data ingestion, cleaning, and transformation.
- Create clear and compelling data visualizations and reports.
- Communicate complex findings to both technical and non-technical stakeholders.
- Stay current with the latest advancements in data science, machine learning, and scientific research.
- Contribute to the development of research strategies and intellectual property.
- Ensure data integrity and ethical use of data.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5-7 years of experience as a Data Scientist, with a focus on scientific research or R&D.
- Proficiency in programming languages such as Python or R.
- Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Expertise in statistical modeling, hypothesis testing, and experimental design.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and effectively in a remote team environment.
- Strong communication and presentation skills.
- Experience in (Specific Scientific Domain - e.g., Genomics, Materials Science, Biotechnology) is a plus.
Chief Scientific Officer - Biomedical Research
Posted 23 days ago
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Job Description
Key Responsibilities:
- Set the scientific vision and strategic direction for the organization's research programs.
- Oversee all aspects of the research and development pipeline, from ideation to clinical translation.
- Manage and mentor a team of highly skilled scientists and researchers.
- Secure and manage research grants and funding from various sources.
- Foster collaborations with academic institutions, industry partners, and regulatory bodies.
- Ensure adherence to the highest ethical standards and regulatory compliance in all research activities.
- Identify and evaluate new scientific opportunities and emerging technologies.
- Oversee the development and implementation of research methodologies and protocols.
- Disseminate research findings through publications, presentations, and patents.
- Manage the research budget effectively and ensure efficient allocation of resources.
- Represent the organization in scientific conferences and forums.
- Drive the advancement of the company's scientific platform and intellectual property portfolio.
- Ph.D. in a relevant biomedical science field (e.g., Molecular Biology, Genetics, Pharmacology, Biochemistry).
- Extensive experience (15+ years) in scientific research and development, with a significant portion in a leadership or senior management role.
- Proven track record of successful research outcomes, including publications, patents, and successful grant applications.
- Deep understanding of the biomedical research landscape, including preclinical and clinical development.
- Demonstrated ability to develop and execute scientific strategy.
- Exceptional leadership, team management, and communication skills.
- Experience in intellectual property management and technology transfer.
- Strong understanding of regulatory requirements in the biomedical field.
- Ability to foster a collaborative and innovative research environment.
- Strong network within the scientific and pharmaceutical community.
Scientific Business Analyst - Research Data and Analytics
Posted 2 days ago
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Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**What you will do**
Let's do this. Let's change the world. In this vital role you will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, troubleshoot issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives.
This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational central initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure.
+ Collaborate with geographically dispersed teams, including those in the US, EU and other international locations.
+ Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices.
+ Foster a culture of collaboration, innovation, and continuous improvement.
+ Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team
+ Serve as Agile team scrum master or project manager as needed
+ Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny)
+ Support a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
+ Translate scientific and technological needs into clear, actionable requirements for development teams
+ Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones
+ Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance
+ Develop documentations, communication plans and training plans for end users
+ Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
+ Ensure operational excellence, cybersecurity and compliance.
**What we expect of you**
+ Master's degree and 1 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR
+ Bachelor's degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR
+ Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience.
**Basic Qualifications:**
+ 3+ years of experience in implementing and supporting biopharma scientific research data analytics
+ Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data
+ Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team
+ An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
+ Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R
**Preferred Qualifications:**
+ Demonstrated expertise in a scientific domain area and related technology needs
+ Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts
+ Experience with cloud (e.g. AWS) and on-premise compute infrastructure
+ Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects
+ Experience creating impactful slide decks and communicating data
+ Ability to deliver features meeting research user demands using Agile methodology
+ We understand that to successfully sustain and grow as a global enterprise and deliver for patients - we must ensure a diverse and inclusive work environment.
**Professional Certifications**
+ SAFe for Teams certification (preferred)
+ SAFe Scrum Master or similar (preferred)
**Soft Skills:**
+ Strong transformation and change management experience.
+ Exceptional collaboration and communication skills.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**Equal opportunity statement**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.