10,485 Senior Scientist jobs in India
Lead Bioinformatics Scientist - Genomics Data Analysis
Posted today
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Data Analysis and Simulation Professional / Data Scientist
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- 465193
jobfamily
- Research & Development
company
- Siemens Healthcare Private Limited
organization
- Siemens Healthineers
jobType
- Full-time
experienceLevel
- Experienced Professional
contractType
- Permanent
Do you want to help create the future of healthcare? Our name, **Siemens Healthineer**s, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.
We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?
Then come and join our global team as Data Scientist (f/m/d) for Machine Learning (ML)-based Application Development in Magnetic Resonance (MR)
**Your tasks and responsibilities**:
- You manage and extend our pool of MRI training and validation data.
- You ensure compliant data ingestion from customers, collaboration partners, and internal teams.
- You organize and store data efficiently and implement quality control measures for data.
- You establish Standard Operating Procedures for data handling and storage within the organization.
- You ensure data integrity and accessibility for machine learning projects.
- You support ML development activities by assisting in data selection and dataset curation considering statistical soundness and requirements for regulatory approvals.
- You work closely with our scientists and engineers to train, evaluate, and improve ML models.
- You perform tests and scientific evaluations on our data.You support regulatory submission processes by delivering data management specifications.
To find out more about the specific business, have a look at Magnetic Resonance Imaging
**Your qualifications and experience**:
- You have successfully completed a university degree (Master's/Diploma/PhD) in Computer Science, Data Science, Machine Learning, Bio-Medical Engineering or similar.
- You have 2 to 5 years of professional experience in data science and machine learning, preferably within medical imaging or healthcare.
- You have proficiency in Python, R; experience with TensorFlow, PyTorch, scikit-learn and C++
- You have a proven track record of establishing and maintaining standard operating procedures for data handling and storage.
- You are familiar with ensuring data integrity and accessibility for advanced ML projects.You have knowledge of statistical modeling and methods and regulatory requirements in data management.
**Your attributes and skills**:
- Since the development teams of the Application Release Train are spread internationally across three locations, strong English Communications skills are required.
- We win together - that's why you are proactively committed to delivering the best possible solutions to our customers
- You present your ideas and results confidently and convincingly in cross-functional development teams
- Personally, you are characterized by your strong teamwork and cooperation skills as well as your persuasivenessThe highest quality standards in product development are a matter of course for you
**Our global team**:
Siemens Healthineers is a leading global medical technology company. 66,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.
**Our culture**:
Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success.
Data Scientist - Business Analysis
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Data Scientist - Business Analysis
**Job Description**:
- We are looking for talent that wants to be a part of the transformative journey with us at Bristlecone _(
)
ABOUT US:
Our transformative solutions in Digital Logistics, Cognitive Manufacturing, Autonomous Planning, Smart Procurement and Digitalization are positioned around key industry pillars and delivered through a comprehensive portfolio of services spanning digital strategy, design and build, and implementation across a range of technology platforms.
Bristlecone is ranked among the top ten leaders in supply chain services by Gartner. We are headquartered in San Jose, California, with locations across North America, Europe and Asia, and over 2,500 consultants. Bristlecone is part of the $19.4 billion Mahindra Group.SKILLS SET- 4 to 6 Years of experience as an Analyst Consultant Work closely with business stakeholders, gather complete requirements loop in back to delivery team Familiarity with basic Statistical Machine Learning Concepts Ability to engage with midlevel business stakeholders to understand business requirements Communicate important information and insights to business and make recommendations to adapt existing business strategies Strong documentation skills with command over Excel, Word and Power Point Stakeholder expectation Management, Project Scope Delivery Collaborating with cross functional different teams Good to have Domain knowledge of Sales Marketing Experience in Data Visualization Knowledge Familiarity with Salesforce, Marketing analytics tools, etc.
QUALIFICATION- Bachelor of Engineering, MBA, MCA etc. from good Institute Good to have Certification as a Business Analyst
SOFT SKILLS- Excellent communication skills, verbal as well as written- Positive attitude with flexibility and maturity to work in a challenging client environment- Ability to drive project responsibilities in a dynamic and proactive manner- Ability to showcase three Mahindra RISE Pillars e.g. Accepting No Limits, Driving Positive Change and Alternative Thinking
EQUAL OPPORTUNITY EMPLOYER
Bristlecone is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Information Security Responsibilities:
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in information security training and act while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority(CISO).
- Understand and adhere to the additional information security responsibilities as part of the assigned job role.
Data Scientist/Research Scientist
Posted 4 days ago
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Role Overview
As a Data Scientist / 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’ll 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 analyze 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.
Data Scientist/Research Scientist
Posted today
Job Viewed
Job Description
Role Overview
As a Data Scientist / 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’ll 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 analyze 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.
Data Scientist/Research Scientist
Posted 4 days ago
Job Viewed
Job Description
As a Data Scientist / 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’ll 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 analyze 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.
Data Scientist/Research Scientist
Posted today
Job Viewed
Job Description
Role Overview
As a Data Scientist / 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’ll 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 analyze 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.
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Data Scientist/Research Scientist
Posted 2 days ago
Job Viewed
Job Description
Role Overview
As a Data Scientist / 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’ll 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 analyze 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.
Scientist
Posted 3 days ago
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Job Description
Company Description
Drepto Biodevices Pvt. Ltd., an IIT Bombay alumni-led startup, is transforming traditional treatment methods with cutting-edge healthcare solutions. Specializing in innovative transdermal smart patches, we aim to enhance patient care by redefining drug delivery through intelligent biomedical instruments. Our mission is to make treatments more efficient, painless, and accessible while improving patient outcomes and quality of life. With a commitment to innovation and excellence, we integrate advanced technology with biomedical engineering to develop smart, user-friendly, and highly effective healthcare products.
Role Description
This is a full-time on-site role for a Scientist at Drepto Biodevices Pvt. Ltd. located in Mumbai. The Scientist will be responsible for conducting research and experiments to develop and refine our transdermal smart patches. Daily tasks include designing and executing experiments, analyzing data, collaborating with cross-functional teams, and contributing to the innovation of biomedical instruments. The role requires maintaining precise documentation, ensuring compliance with regulatory standards, and staying updated with advancements in biomedical engineering and drug delivery technology.
Qualifications
**PhD in Drug delivery or related **
- Research and Experimental Design skills
- Analytical skills and Data Analysis
- Collaboration and Teamwork skills
- Documentation and Regulatory Compliance skills
- Excellent problem-solving and critical-thinking abilities
- Doctorate in Biomedical Engineering, Biotechnology, or pharmacology related field
- Experience in drug delivery systems, Patch based drug delivery and biomedical instrumentation is a plus
- Strong communication skills and ability to work independently
- Experience required for 2 year atleast in Drug delivery formulation development
Scientist
Posted today
Job Viewed
Job Description
Company Description
Drepto Biodevices Pvt. Ltd., an IIT Bombay alumni-led startup, is transforming traditional treatment methods with cutting-edge healthcare solutions. Specializing in innovative transdermal smart patches, we aim to enhance patient care by redefining drug delivery through intelligent biomedical instruments. Our mission is to make treatments more efficient, painless, and accessible while improving patient outcomes and quality of life. With a commitment to innovation and excellence, we integrate advanced technology with biomedical engineering to develop smart, user-friendly, and highly effective healthcare products.
Role Description
This is a full-time on-site role for a Scientist at Drepto Biodevices Pvt. Ltd. located in Mumbai. The Scientist will be responsible for conducting research and experiments to develop and refine our transdermal smart patches. Daily tasks include designing and executing experiments, analyzing data, collaborating with cross-functional teams, and contributing to the innovation of biomedical instruments. The role requires maintaining precise documentation, ensuring compliance with regulatory standards, and staying updated with advancements in biomedical engineering and drug delivery technology.
Qualifications
**PhD in Drug delivery or related **
- Research and Experimental Design skills
- Analytical skills and Data Analysis
- Collaboration and Teamwork skills
- Documentation and Regulatory Compliance skills
- Excellent problem-solving and critical-thinking abilities
- Doctorate in Biomedical Engineering, Biotechnology, or pharmacology related field
- Experience in drug delivery systems, Patch based drug delivery and biomedical instrumentation is a plus
- Strong communication skills and ability to work independently
- Experience required for 2 year atleast in Drug delivery formulation development