50,328 R D Engineer jobs in India

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

Phenom Intro:

Our purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal!

Role Overview:

We are looking for a highly skilled Product Development Engineer II to development of scalable, secure, and highly efficient backend services and systems. You will work on building innovative solutions and ensure the operational excellence of our platforms.

Position Summary

We’re looking for a Developer to join our team at Phenom. The ideal candidate should be able to meet the following criteria:

• Proficiency in Algorithms and Data Structures
• Efficient programming skills (Master Coder)

Responsibilities:

• Define technical architecture to support SaaS offerings and contribute to product development efforts
• Work independently on a project basis and thrive in a collaborative, fast-paced team environment
• Provide technical and analytical solutions for evaluating product ideas

Work Experience

• 4+ years of software development experience in Java/J2EE, REST/SOAP, JSON, MongoDB, Spring, React and Design Patterns
• Familiarity with defining architecture and contributing to design & development
• Experience with cloud technologies (AWS and/or Azure)
• Strong written and verbal communication skills
• Ability to thrive in a fast-paced environment

Essential position functions include, but are not limited to, the following:

Act as Engineering liaison between customer teams and internal business unit and manufacturing teams.

Develop projects that meet specified customer requirements and expectations to win new business.

Lead development projects by directing the Product Design & CAE staff in day-to-day efforts.

Regularly provide the design department with the latest background information, e.g., CAD files, drawings, etc.

Develop initial material neutral design direction and value stream map (VSM).

Provide designs, background data, and all pertinent information to the CAE department for analysis set-up.

Analyze CAE outputs and determination of next steps.

Incorporate design for manufacturing (DFM) initiatives according to the Shape minimum process requirements during product design including leading the development of component/assembly GD&T and tolerance stack-ups.

Establish datum’s, critical & special characteristics, and the development of SPC data points.

Draft and maintain applicable engineering documents (DFMEA, design 8Ds, WERS, engineering changes, product development documents, etc.) specific to assigned projects.

Develop DVP&R and DFMEA and share during PFMEA development meetings.

Identify and approve all data for transfers on assigned projects.

Procure parts, cost, and funding of rapid prototypes and mockups to support engineering development.

Oversee initial prototype builds at Shape manufacturing facilities and work with Shape plant personnel to establish acceptable part quality.

Initiate physical test requests as necessary.

Provide on-site support for all prototype builds and production launches.

Work with component suppliers as required to ensure all outsourced component designs meet Shape and customer requirements.

Participate as a member of the program management team supporting APQP and VA/VE activities.

Work within the Shape core manufacturing processes, Shape launch process, vehicle design packaging, and product performance knowledge methodologies.

Apply the fundamentals of mechanical theory, material properties, test protocols, and basic manufacturing processes to daily projects.

Develop component and system-level product designs utilizing engineering applications in accordance with customer requirements.

Interpret and understand customer inputs and communicate Shape outputs to customers.

Maintain effective communication with internal and external customers to meet development timelines.

Additional functions not specifically outlined in this position description as directed by the leader.

Review customer T-file, BOM, design intent, and interface. Decide the fixation scheme layout and, joinery detail development and develop the section and overall layout.

Utilize up-front engineering practices to design products allowing efficient use of resources.

Engineering and Tooling feasibility of the design

Development of Master sections, part designing based on CAS and environmental data.

Work with the flow simulation team to optimize the design.

Responsible for the Development of plastic components from scratch till PPAP as per the timeline

defined by the customer.

Propose product design changes to customers based on Plastic Manufacturing capabilities and vehicle packaging.

Manage the product design timeline and provide updates to internal and external customers.

Additional functions not specifically outlined in this position description are directed by the leader.

Position Skills and Experience Requirements:

To perform this job successfully, an individual must be able to perform each essential duty effectively. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Should be ready to work as per US Time Zone.

Strong written and verbal communication skills with a demonstrated ability to communicate and present effectively and independently to internal and external customers are required.

Demonstrated ability to develop and maintain strong customer relationships.

Bachelor’s Degree in an engineering field or specialized Bachelor of Engineering Degree (plastics)

Minimum of 8+ years of prior experience in a product development role. Experience in the development of energy management products like (cowl cover top grills/Leaf screens/Air inlet panels) is required.

Extensive experience in product design and development of automotive exterior.

Advanced proficiency in plastic manufacturing (injection molding) processes, manufacturing processes, and fixture development.

Thoroughly aware of the Plastics Product Development Cycle (from initial RFQ to SOP

+90 days assistance) and VA/VE of existing products.

Ability to deliver projects at the system level from design to implementation.

Detail understanding of product development procedures, validation (ANPQP-STPR); manufacturing process, and investigation failures for products.

Prior experience with GD&T tolerance stack-up, DFMEA, DFM, DFS, DFA, DVP, and customer PPAP.

Responsible for the work of others (direct and/or indirect).