94 Epidemiologist jobs in India
Senior Analyst- Epidemiologist, Real-World Evidence (RWE)
Posted 1 day ago
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Job Description
This position leads the design and execution of regulatory-grade and commercial RWE studies to support clinical evidence needs. Working with key stakeholders, the role will execute on key RWE deliverables and establish standards and best practices for RWE study design and reporting as an essential part of the clinical evidence generation strategy for Stryker's product portfolio.
+ Lead design and execution of RWE studies in close collaboration with internal stakeholders from Clinical Strategy, Medical Affairs, and Clinical Data Science.
+ Author and/or oversee development of study protocols, reports, conference abstracts, and peer-reviewed publications using RWD and collaborate cross-functionally to integrate RWD into global publication strategies
+ Ensure scientific rigor and serve as a methodology expert for real-world evidence generation; select and implement appropriate analytic methods aligned to research needs
+ Collaborate closely with data management and biostatistics functions to ensure data quality and deliver robust data analyses utilizing scientifically valid and accepted methodology for RWD
+ Conduct feasibility assessment of relevant data sources for specific devices and indications to ensure data is fit-for-purpose
+ Identify and evaluate new RWD sources
+ Ensure quality and performance standards for RWE projects are realistic and attained, and studies are conducted in line with quality/compliance framework
+ Identifies areas of improvement with RWE processes and procedures, develops and implements best practices, and works to improve efficiencies and effectiveness. Participate in cross-functional and cross-divisional initiatives regarding RWE
**What you need:**
+ 3-6 years relevant experience in epidemiology and/or observational research in academia, a contract research organization, and/or the medical device or pharmaceutical industry
+ Hands-on experience with real-world data (RWD) sets such as patient registries, electronic medical records, hospital billing data, and insurance claims databases and familiarity with relevant medical coding vocabularies (e.g., ICD, CPT, HCPCS, LOINC)
+ A sophisticated understanding and ability to analyze and interpret quantitative data is required together with working knowledge of RWE/observational study design and methodology
+ Experience using standard statistical software (e.g., SAS, R, Stata) and/or demonstrated ability to collaborate closely with statistical programmers; understanding of advanced statistical methods utilized for RWD analysis (e.g., propensity score matching)
+ Excellent oral and written communication skills, experience authoring study protocols, study reports, and peer-reviewed publications using RWD preferred
+ Strong organizational skills, with ability to effectively and efficiently handle multiple tasks simultaneously, with precision, and to adapt to changes in responsibilities and workloads
+ Must be professional, possess a high degree of urgency and self-motivation, and have a strong work ethic
+ Must possess a high degree of integrity and ability to maintain confidentiality with HIPAA and GDPR guidelines, and other confidential information
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.
Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.
Data Analysis - ETL
Posted 594 days ago
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Job Description
Looking For ETL Data Analyst Having Experience in the Healthcare domain
Greetings From 2COMS Group!Total Exp - 5 to 10 yrs
Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)
Healthcare business and data analysis
Job Description• Create source-to-target mapping based on requirements
• Create rules definitions and transformation logic
• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving
• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.
• Research complex functional data/analytical issues, good troubleshooting skill • Gather business requirements for analytical applications in iterative/agile development model.• Assume responsibility for data integrity among various internal groups and/or between internal and external sources
• Proficient in SQL understands data modeling concepts and ETL
• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work
• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.
• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution
Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)
Undergraduate degree or equivalent experience
• 5 or more years of data analysis experience
• 5 or more years of systems analysis/requirement gathering experience
• 3+ year of Health Care/Claims data experience
BenefitsAs per Co normsHR Data Analysis Manager
Posted 2 days ago
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Job Description
+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.
Graduate Trainee - Data Analysis
Posted 3 days ago
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Research Intern - Data Analysis
Posted 7 days ago
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Job Description
Key Tasks:
- Assist in data collection and data entry processes.
- Perform data cleaning and preprocessing to ensure data quality.
- Conduct statistical analysis under the guidance of senior researchers.
- Create data visualizations to illustrate findings.
- Contribute to research reports and presentations.
- Learn and apply various data analysis techniques.
- Collaborate with team members on research projects.
Requirements:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Basic understanding of statistical concepts and methods.
- Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and organizational abilities.
- Good written and verbal communication skills.
- Ability to work effectively in a team environment.
- Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.
Graduate Trainee - Data Analysis
Posted 7 days ago
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Job Description
Key responsibilities include assisting in the development of data models, performing statistical analysis, and creating visualizations to communicate findings effectively. The trainee will learn to use various data analysis tools and software, gaining practical experience in extracting meaningful insights from complex datasets. This role requires strong analytical and problem-solving abilities, attention to detail, and a willingness to learn. The ability to work collaboratively within a remote team environment is essential. This program emphasizes continuous learning and development, providing mentorship and exposure to real-world data challenges. Graduates will have the chance to make tangible contributions while building a strong foundation for their professional future.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis methodologies.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage tasks effectively in a remote setting.
Graduate Trainee - Data Analysis
Posted 9 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Create data visualizations and reports to communicate findings.
- Support data scientists and analysts in developing analytical models.
- Contribute to data quality checks and validation processes.
- Learn and apply various data analysis tools and techniques.
- Participate in team meetings and contribute to project discussions.
- Assist in documenting data analysis processes and methodologies.
- Understand business requirements and translate them into data analysis tasks.
- Develop basic skills in statistical analysis and reporting.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and principles.
- Basic understanding of data analysis and visualization techniques.
- Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal abilities.
- Eagerness to learn and a proactive attitude.
- Ability to work effectively in a team environment.
- Attention to detail and accuracy.
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Graduate Trainee - Data Analysis
Posted 13 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic statistical analysis on datasets to identify trends and patterns.
- Create clear and concise data visualizations (charts, graphs) to communicate findings.
- Support senior analysts in developing reports and dashboards.
- Learn and apply data analysis tools and techniques.
- Contribute to data quality checks and validation processes.
- Collaborate with cross-functional teams to understand data needs.
- Assist in interpreting data and providing actionable insights.
- Participate in training sessions to enhance data analysis skills.
- Document methodologies and findings for future reference.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Recent graduates with a strong academic background in quantitative subjects.
- Basic understanding of statistical concepts and methods.
- Proficiency in Microsoft Excel is required.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages like Python or R is a plus.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
Graduate Trainee - Data Analysis
Posted 13 days ago
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Job Description
- Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Python or R.
- Good understanding of SQL and database concepts.
- Familiarity with data visualization tools is a plus.
- Excellent communication and teamwork skills.
- Eagerness to learn and develop expertise in data analysis.
Graduate Trainee - Data Analysis
Posted 13 days ago
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