5,356 Senior Research Scientist jobs in India

Position: Research Scientist/ Senior Research Scientist

Position Summary: The successful candidate will primarily be accomplished through the implementation of fungicide screening trials in the laboratory, greenhouse.

Qualification: M Sc./Ph.D (Agri) in plant pathology/Microbiology,

Experience: More than 3 years experience in research and development crop protection.

Location: Umergaon, District: Valsad, South Gujrat

Skills:

• Implementing and evaluation of fungicide screening trials in the laboratory and greenhouse.
• Design and execute greenhouse studies to evaluate efficacy of novel crop protection products including disease control phytotoxic assessment.
• Create/ standardize testing methodologies for screening new active ingredients via. Implementing new screening methods & platforms for existing or emerging diseases against NCEs & formulations under controlled condition.
• Used to split between green house and laboratory work viz. preparation of microbiological media and culture of plant pathogens, isolation and multiplication of plant pathogens.
• Thorough understanding of disease identification and other nutritional deficiencies and disorders.
• Experienced in use of automated greenhouse systems, precision agriculture tools.
• Excellent analytical, organizational and people skills. Proficiency of statistical analysis. Ability to use statistical software to interpret biological data, prepare technical report/presentation for internal team.
• Work with chemistry, biology and field teams to transition promising candidates from green house to field trials.
• Summarize trial data and provide development recommendations, identify development opportunities for product label expansion new uses and new solutions
• Strong research, decision making, critical thinking and problem-solving skills
• Resource planning and management-lab chemicals, lab supplies and lab instrument maintenance, calibration and validation.

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As a Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets.

You will be responsible for data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You will collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine.

Key Responsibilities

• Execute end-to-end data science projects involving clinical data.
• Process and analyse complex datasets, including EHR and other real-world data sources.
• Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.).
• Conduct exploratory data analysis and statistical hypothesis testing.
• Communicate findings via well-documented code, reports, and presentations.
• Collaborate with cross-functional teams, including clinicians, engineers, and product managers.
• Stay up-to-date with advances in machine learning, healthcare AI, and relevant research.

Required Qualifications

• PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply.
• Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn).
• Experience working with biological, clinical, or healthcare-related datasets in academia or industry.
• Solid understanding of statistical concepts and ability to apply them practically.
• Strong communication skills with an ability to document and explain technical work clearly.

Preferred Qualifications (Nice to Have)

• Hands-on experience working with real-world or EHR data (structured/unstructured).
• Published or contributed to academic/industry research projects.
• Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links).
• Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR.
• Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar.
• Experience with Git or other version control systems.

Roles & Responsibility-

• Analytical Method Development: Highly skilled in designing, optimizing, and implementing analytical methods (both for technical actives / APIs and formulations), using HPLC / UPLC, GC (including headspace), LC‑MS / LC‑MS‑MS or equivalent.
• Method Validation: Deep experience with validation protocols in compliance with regulatory standards (ICH, SANCO / SANTE, OECD GLP or equivalent), including parameters like specificity, accuracy, precision, LOD/LOQ, linearity, range, robustness, stability.
• Wet Lab & Physical‑Chemical Testing: Strong competence in sample preparation, moisture content determination, physical property evaluation, chemical assays of formulations and technical materials, IPQC support.
• Troubleshooting & Non‑Routine Testing: Able to identify, diagnose and correct issues in analytical measurements, instrument performance, method interference, reproducibility, sensitivity issues etc.
• Regulatory & Quality Compliance: Familiar with regulatory guidelines; experience in maintaining compliance with GLP (if applicable), safety standards, documentation, calibration and maintenance of instruments, controlled environment of lab operations.
• Documentation & Reporting: Able to generate, review and approve validation protocols, SOPs, technical and validation reports; ensure data integrity, method transfer documentation; maintain good laboratory practices in record keeping.
• Cross‑Functional Collaboration: Capability to work with R&D formulation, regulatory, QA/QC, project management, ensure analytical support is aligned to product development and registration timelines.

Experience & Background

• Requires 7–10 years of demonstrated expertise in analytical R&D or development of analytical methods in the agrochemical industry.
• Prior work should be in one or more of these domains: agrochemical technical substances, agrochemical formulations.
• Must have been leading or managing a team of 4‑8 analysts or scientists continuously for the past 2‑3 years , including supervision, mentoring, allocation of tasks, and performance evaluation.
• Experience in regulatory / quality driven environments where analytical methods are developed, validated and used for regulatory filings.

Educational Qualification

• Essential: Master of Science (M.Sc) in Organic Chemistry or Analytical Chemistry .
• Preferred: Doctor of Philosophy (Ph.D) in Organic Chemistry or Analytical Chemistry.
• The educational background should demonstrate strong foundation in chemical theory, separation science, and instrumental analysis.

Job Description Summary
GE Vernova's Advanced Research business is the central innovation engine for GE's portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 300+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future.

We are seeking a highly motivated and skilled researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Research Engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development of state-of-the-art prognostics, diagnostic and modelling solutions.

Job Description
Roles and responsibilities

• Develop innovative algorithms and methodologies in artificial intelligence and machine learning (AIML) tailored for process and product development.
• Analyse extensive datasets to identify patterns, trends, and insights, focusing on diagnostics and prognostics for large-scale energy equipment.
• Implement and enhance AIML algorithms and models for optimal performance.
• Design and execute experiments to evaluate the efficacy and reliability of AIML-based solutions.
• Document research findings, methodologies, and implementation details for effective knowledge sharing and future reference.
• Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms.
• Stay informed on advancements in AIML, control systems, and signal processing engineering through literature reviews and participation in relevant conferences and seminars.
• Research, conceptualize, and develop AI solutions for complex industrial challenges.
• Work collaboratively with fellow researchers on ongoing and new projects.
• Demonstrate the value of AI through early prototypes and solutions addressing real-world problems.
• Utilize software libraries, tools, and practices to implement efficient, scalable, and reusable solutions.
• Contribute to intellectual property development by writing invention disclosures and filing patents.
• Publish research in scientific journals and present findings at conferences.

Required Qualifications

• PhD with 2 - 5 Years Experience or Master's degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field.
• Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence.
• Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar.
• Experience with data analysis and manipulation using tools like Pandas and NumPy.
• Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies.
• Basic knowledge of cloud-based architectures
• Excellent problem-solving skills and ability to think critically and creatively.
• Strong communication skills and ability to work effectively in a collaborative team environment.
• Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.

* *Additional Information*
*Relocation Assistance Provided:
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Patent Writing for United States Patent and Trademark Office

Kindly provide minimum two references with resume

Role: python Programmer

Industry Type: IT Services & Consulting

Department: Research & Development

Employment Type: Full Time, Permanent

Salary: Negotiable

Collaborate with the PhD research implementation team to develop software solutions for research projects.

Write efficient, maintainable code in Python for data processing, analysis, and modeling.

Use MATLAB and other research tools for mathematical modeling and simulation.

Develop and maintain research tools to support PhD scholars in their research work.

Implement algorithms and data structures for research applications.

Assist with testing and validating research software and data outputs.

Prepare technical documentation for research processes and findings.

Work with researchers to understand their requirements and offer programming solutions.

Job Types: Full-time, Permanent

Pay: ₹15, ₹25,000.00 per month

Work Location: In person