757 Clinical Trial Data jobs in India
Pharmaceutical Data Scientist
Posted 13 days ago
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Remote Pharmaceutical Data Analyst
Posted 3 days ago
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The ideal candidate will possess a strong background in data analysis, preferably within the pharmaceutical or healthcare industry. A Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, Pharmacy, or a related quantitative field is required. Proficiency in data analysis tools and languages such as SQL, Python, R, and visualization software (e.g., Tableau, Power BI) is essential. Experience with statistical modeling, machine learning techniques, and experimental design will be highly valued. Excellent analytical, problem-solving, and critical thinking skills are a must, along with the ability to communicate findings effectively to both technical and non-technical stakeholders. As a remote employee, you must demonstrate strong self-motivation, excellent organizational skills, and the ability to manage your workload efficiently while collaborating with a geographically dispersed team.
This role offers a unique opportunity to contribute to the advancement of healthcare by uncovering insights from pharmaceutical data. You will play a vital role in identifying trends, evaluating drug efficacy, and supporting regulatory compliance. Our client is committed to fostering a collaborative and supportive work environment, even in a remote setting, providing resources and opportunities for continuous learning and professional development. You will have the chance to work on challenging projects that directly impact patient outcomes and shape the future of the pharmaceutical industry. If you are passionate about data-driven insights and have a knack for uncovering hidden patterns within complex datasets, this is the perfect opportunity for you to grow your career remotely. The successful candidate will be based virtually, with connection to our client's operations near Bhopal, Madhya Pradesh, IN .
Senior Pharmaceutical Data Scientist
Posted 7 days ago
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Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze complex pharmaceutical datasets.
- Design and execute analytical strategies for drug discovery, clinical trial optimization, and post-market surveillance.
- Extract, clean, and transform large, heterogeneous datasets from various sources (e.g., clinical trials, genomics, electronic health records).
- Collaborate closely with R&D scientists, clinicians, and project managers to define analytical needs and deliver actionable insights.
- Identify opportunities to leverage data science for accelerating drug development timelines and improving patient outcomes.
- Build predictive models for drug response, toxicity, and efficacy.
- Develop and maintain robust data pipelines and analytical workflows.
- Communicate complex findings and recommendations effectively to both technical and non-technical stakeholders through presentations and reports.
- Stay current with the latest advancements in data science, machine learning, bioinformatics, and pharmaceutical R&D.
- Mentor junior data scientists and contribute to the team's knowledge base.
- Ensure compliance with data privacy regulations and ethical standards in data analysis.
- Design and analyze experiments for biomarker discovery and validation.
- Contribute to the development of data visualization tools for exploring scientific data.
- Evaluate and implement new data science tools and technologies.
- Champion data-driven decision-making across the organization.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Bioinformatics, Computational Biology, or a related quantitative field.
- 5+ years of relevant experience in data science, with a significant focus on the pharmaceutical or biotechnology industry.
- Proven expertise in statistical modeling, machine learning, and deep learning techniques.
- Proficiency in programming languages such as Python or R, and extensive experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Experience working with large-scale biological and clinical datasets (e.g., genomics, proteomics, clinical trial data, EMRs).
- Strong understanding of pharmaceutical R&D processes, including drug discovery, clinical trials, and regulatory affairs.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Superior communication and collaboration skills, essential for a fully remote role.
- Ability to work independently, manage multiple projects, and meet deadlines in a fast-paced environment.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
- Familiarity with SQL and database management.
- Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
This exciting opportunity is located in Vijayawada, Andhra Pradesh, IN , and is fully remote.
Remote Pharmaceutical Data Scientist
Posted 12 days ago
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Key Responsibilities:
- Design, develop, and implement statistical models and machine learning algorithms to analyze large-scale biological, chemical, and clinical trial data.
- Identify patterns, trends, and anomalies in data to support drug discovery and development efforts.
- Collaborate closely with cross-functional teams, including biologists, chemists, clinicians, and statisticians, to define analytical requirements and interpret results.
- Develop data visualization tools and dashboards to effectively communicate complex findings to both technical and non-technical audiences.
- Contribute to the design and analysis of clinical trials, ensuring data integrity and validity.
- Build predictive models to forecast drug efficacy, safety profiles, and patient response.
- Explore and implement novel data mining and analytical techniques to address specific research questions.
- Ensure adherence to data privacy regulations and industry best practices.
- Maintain and manage data pipelines, ensuring efficient and accurate data flow.
- Stay current with the latest advancements in data science, machine learning, and pharmaceutical research.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
- Minimum of 4 years of experience in data science, with a significant focus on pharmaceutical or biotechnology applications.
- Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
- Strong experience with SQL and database management.
- Expertise in statistical modeling, machine learning algorithms, and experimental design.
- Familiarity with genomic, proteomic, or clinical trial data analysis is highly desirable.
- Excellent problem-solving skills and the ability to translate complex biological questions into data-driven solutions.
- Strong communication and collaboration skills, essential for a remote work environment.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Demonstrated ability to work independently and manage multiple projects effectively.
This is a fully remote opportunity for talented individuals passionate about making a difference in healthcare.
Remote Pharmaceutical Data Scientist
Posted 12 days ago
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Key Responsibilities:
- Develop and apply advanced statistical and machine learning models to analyze pharmaceutical and biological data.
- Identify potential drug targets and biomarkers using computational approaches.
- Design and optimize clinical trial protocols by analyzing historical data and predictive modeling.
- Analyze large-scale datasets from preclinical studies, clinical trials, and real-world evidence sources.
- Collaborate with research scientists, clinicians, and bioinformaticians to interpret results and generate actionable insights.
- Develop data visualization tools and dashboards to communicate complex findings effectively.
- Stay abreast of the latest research, techniques, and technologies in data science, AI, and pharmaceutical R&D.
- Ensure data integrity, quality, and compliance with relevant regulations (e.g., GDPR, HIPAA).
- Contribute to the publication of research findings in scientific journals and conferences.
- Automate data pipelines and analytical workflows.
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Bioinformatics, Computational Biology, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a significant focus on the pharmaceutical or biotechnology industry.
- Proven experience in applying machine learning techniques (e.g., regression, classification, clustering, deep learning) to biological or chemical data.
- Proficiency in programming languages such as Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with database management, SQL, and big data technologies (e.g., Spark, Hadoop).
- Strong understanding of pharmaceutical R&D processes, drug discovery, and clinical development.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote setting.
Senior Pharmaceutical Data Scientist
Posted 12 days ago
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Key responsibilities include developing and validating statistical models for clinical trial data analysis, identifying biomarkers for disease diagnosis and prognosis, and building predictive models for drug efficacy and safety. You will collaborate closely with medicinal chemists, biologists, clinicians, and regulatory affairs specialists to translate research questions into data-driven solutions. This role involves working with large-scale datasets, including genomics, proteomics, clinical trial results, and real-world evidence. You will be expected to stay abreast of the latest advancements in data science, bioinformatics, and pharmaceutical research, and to contribute to the development of best practices and methodologies within the team.
The ideal candidate will possess a Master's or Ph.D. in Data Science, Statistics, Bioinformatics, Computer Science, or a related quantitative field. A minimum of 6 years of experience in data science, with at least 3 years specifically within the pharmaceutical or biotechnology industry, is required. Demonstrated expertise in statistical modeling, machine learning (e.g., regression, classification, clustering, deep learning), and programming languages such as Python or R is essential. Experience with SQL and big data technologies (e.g., Spark, Hadoop) is highly desirable. Familiarity with clinical trial design and regulatory requirements (e.g., FDA, EMA) is a significant plus. Excellent communication and collaboration skills are vital for success in this remote role, enabling you to effectively convey complex findings to diverse audiences. You will be expected to present your work clearly and concisely, contributing to scientific publications and internal reports. This is a remote-first opportunity, offering the flexibility to work from anywhere while making a substantial impact on pharmaceutical innovation.
Responsibilities:
- Develop and implement advanced statistical and machine learning models for pharmaceutical research and development.
- Analyze complex biological, clinical, and real-world data to derive actionable insights.
- Design and validate models for drug discovery, clinical trial analysis, and patient outcome prediction.
- Collaborate with cross-functional scientific teams to address critical research questions.
- Stay current with scientific literature and technological advancements in data science and bioinformatics.
- Communicate findings and recommendations to stakeholders through presentations and reports.
- Contribute to the development of data science best practices and pipelines.
- Master's or Ph.D. in Data Science, Statistics, Bioinformatics, or a related quantitative field.
- 6+ years of experience in data science, with 3+ years in pharmaceuticals or biotech.
- Proficiency in Python or R, SQL, and machine learning libraries.
- Experience with big data technologies and cloud platforms.
- Strong understanding of statistical modeling and experimental design.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration abilities in a remote setting.
Remote Pharmaceutical Data Scientist
Posted 12 days ago
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Job Description
Key Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze complex pharmaceutical datasets, including clinical trial data, omics data, and real-world evidence.
- Identify trends, patterns, and correlations within datasets to predict drug efficacy, toxicity, and patient response.
- Design and conduct robust data analyses to support drug discovery, preclinical research, clinical development, and post-market surveillance.
- Collaborate closely with cross-functional teams, including clinicians, biologists, chemists, and regulatory affairs specialists, to define analytical needs and interpret findings.
- Develop and maintain data pipelines, ensuring data integrity, quality, and accessibility for analytical purposes.
- Create compelling data visualizations and reports to effectively communicate complex findings to both technical and non-technical stakeholders.
- Contribute to the design of clinical trials by providing data-driven insights for patient stratification and endpoint selection.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the pharmaceutical industry.
- Ensure compliance with all relevant data privacy regulations (e.g., GDPR, HIPAA) and ethical guidelines.
- Document methodologies, analyses, and findings thoroughly.
Required Qualifications:
- Ph.D. or Master's degree in Data Science, Statistics, Bioinformatics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist, with a significant focus on the pharmaceutical or biotechnology industry.
- Proven expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
- Experience with database querying languages (e.g., SQL) and working with large-scale datasets.
- Familiarity with bioinformatics tools and databases relevant to drug discovery and development.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Demonstrated ability to work independently and collaboratively in a remote team environment.
This is a fully remote role, offering a unique opportunity for a talented data scientist to contribute to critical pharmaceutical research from anywhere. Our client values innovation and data-driven decision-making in the pursuit of improving global health.
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Senior Pharmaceutical Data Scientist
Posted 14 days ago
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- Developing and applying advanced statistical and machine learning models to analyze pharmaceutical data (e.g., genomics, proteomics, clinical trial data, real-world evidence).
- Designing and implementing data pipelines for cleaning, transforming, and integrating diverse datasets.
- Collaborating with research scientists, clinicians, and bioinformaticians to define analytical objectives and interpret results.
- Building predictive models for drug efficacy, toxicity, patient stratification, and treatment response.
- Creating clear and concise data visualizations and reports to communicate findings to stakeholders.
- Evaluating and selecting appropriate algorithms and methodologies for specific research questions.
- Ensuring the quality, integrity, and reproducibility of data analysis.
- Staying abreast of the latest advancements in data science, machine learning, and pharmaceutical R&D.
- Contributing to the development of data-driven strategies for drug discovery and development.
- Mentoring junior data scientists and analysts.
- Ph.D. or Master's degree in Data Science, Statistics, Bioinformatics, Computational Biology, or a related quantitative field.
- 5+ years of professional experience in data science within the pharmaceutical or biotechnology industry.
- Strong expertise in statistical modeling, machine learning, and deep learning techniques.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and working with large, complex datasets.
- Familiarity with bioinformatics tools and biological databases is a significant plus.
- Understanding of the pharmaceutical drug development lifecycle and regulatory requirements.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to effectively collaborate in a remote environment.
Remote Pharmaceutical Data Scientist
Posted 23 days ago
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Senior Remote Pharmaceutical Data Analyst
Posted 2 days ago
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Responsibilities:
- Collect, clean, and validate large datasets from various sources, including clinical trials, market research, sales data, and regulatory submissions.
- Perform complex statistical analysis and data mining to identify trends, patterns, and insights related to drug efficacy, safety, market performance, and patient outcomes.
- Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) for stakeholders across research, development, marketing, and sales departments.
- Design and implement data models to support predictive analytics and forecasting of market trends and sales performance.
- Collaborate with cross-functional teams, including R&D scientists, clinical researchers, and marketing specialists, to understand data needs and provide actionable insights.
- Ensure data integrity, accuracy, and compliance with pharmaceutical regulations (e.g., GDPR, HIPAA, GxP).
- Develop and automate data extraction and reporting processes using SQL, Python, R, or other relevant tools.
- Evaluate the effectiveness of marketing campaigns and product strategies through rigorous data analysis.
- Stay updated on the latest trends and technologies in data analytics and the pharmaceutical industry.
- Present findings and recommendations to senior management in a clear and concise manner.
- Master's degree in Statistics, Data Science, Bioinformatics, Pharmacology, or a related quantitative field.
- Minimum of 5 years of experience in data analysis within the pharmaceutical or biotechnology industry.
- Proficiency in SQL for database querying and manipulation.
- Strong experience with data visualization tools (e.g., Tableau, Power BI).
- Proficiency in programming languages such as Python or R for statistical analysis and data manipulation.
- Solid understanding of statistical methodologies and experimental design.
- Familiarity with pharmaceutical drug development lifecycle, clinical trials, and regulatory processes is highly desirable.
- Excellent problem-solving skills and attention to detail.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Experience working in a hybrid or remote team environment.