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4 Causality Jobs

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4.0 - 8.0 years

3 - 7 Lacs

Remote, , India

On-site

key Responsibilities Performance: Accountable for performance and compliance for assigned protocols in accordance with ICH/GCP and country regulations, as well as client policies and quality standards. (30%) Management: Serve as the point of contact for assigned protocols, proactively driving execution and performance to meet country commitments. Collaborate closely with local CO roles and forecast resource needs. (20%) Quality Oversight: Ensure quality and compliance in assigned protocols. Oversee CRAs and CTCs, ensuring training compliance and conducting quality control visits. Review monitoring reports and escalate issues as needed. (20%) External Customer Facing: Collaborate with functional outsourcing vendors, investigators, and external partners. Oversee site validations, selection, and recruitment, providing education about clinical trials. (20%) Internal Collaboration & Strategy: Work with local Pharmacovigilance, Regulatory Affairs, and Global Medical Affairs to support strategy development consistent with corporate needs. (10%) Additional Duties: Perform all other duties as assigned. Qualifications University/college degree in a life science field preferred, or certification in a related health profession (nursing, medical, laboratory technology). Minimum of four (4) years of relevant clinical research experience in pharmaceutical or CRO industries, or equivalent experience in a healthcare setting may be considered. Thorough knowledge of ICH Guidelines and GCP, with an understanding of regulatory requirements in various countries. Strong understanding of the drug development process. Fluent in the local office language and in English, both written and verbal.

Posted 1 month ago

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1.0 - 4.0 years

3 - 7 Lacs

Remote, , India

On-site

Key Responsibilities Primary Medical Review: Conduct thorough medical assessments of cases, including evaluating seriousness, labeling, causality, adverse event coding, and narrative reviews. Data Management: Update and document daily case data and feedback in appropriate trackers and tools to facilitate effective tracking and workflow management. Deliverable Accountability: Assume complete responsibility for all assigned deliverables, ensuring adherence to quality, compliance, and productivity SLAs and KPIs. Training and Guidance: Provide training and guidance to the case processing team on medical aspects of case processing. Quality Control: Perform secondary medical reviews (QC role) and retrospective reviews of cases (QA role) to measure quality, identify error trends, and determine training needs and areas for improvement. Aggregate Review and Analysis: Conduct aggregate medical reviews and signal detection/analysis activities as required. Client Relationship Management: Enhance existing client relationships and foster a culture of high customer service. Process Improvement: Participate in process improvement initiatives across the organization.

Posted 1 month ago

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1.0 - 2.0 years

0 - 0 Lacs

Bengaluru

Work from Office

EXPERIENCE : 1 TO 2 YEARS IN STAFF NURSE( BSC NURSING MANDARTORY) LOCATION : BANGALORE SALARY : 4LPA EXPERIENCE IN ICU/CAUSALITY/SURGERY/NEONATAL WILL NOT WORK FREE CAB , INTERESTED CAN SHARE CV TO ARUNA - 6374451871

Posted 2 months ago

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7 - 12 years

25 - 40 Lacs

Hyderabad

Remote

Key Responsibilities Causal Inference & Experimentation Design and analyze experiments (A/B tests, observational studies) to identify causal relationships between variables. Apply advanced causal inference methods (e.g., propensity score matching, difference-in-differences, instrumental variables, DAGs) to estimate treatment effects. Use tools like DoWhy , CausalML , or EconML to model causal relationships. Forecasting & Multivariate Analysis Develop time-series forecasting models (e.g., ARIMA, Prophet, LSTM) to predict business metrics (sales, demand, churn). Perform multivariate regression analysis to identify key drivers of outcomes. Validate model accuracy and refine approaches based on feedback. Data Analysis & Visualization Clean, preprocess, and analyze large datasets to extract meaningful patterns. Build dashboards and reports to communicate findings to stakeholders using tools like Tableau, Power BI, or Python (Matplotlib/Seaborn). Collaboration Partner with product, marketing, and operations teams to define KPIs and design data-driven strategies. Translate complex technical results into actionable business recommendations. Technical Skills : Causal Inference : Proficiency in methods like propensity score matching, synthetic controls, and counterfactual analysis. Forecasting : Experience with time-series models (Prophet, ARIMA) and machine learning frameworks (Scikit-learn, TensorFlow). Programming : Strong Python/R skills (Pandas, NumPy, StatsModels, CausalInference). Data Wrangling : SQL proficiency for querying large datasets. Experience : 5+ years in data science, with a focus on causal inference and experimental design. Experience in industries like e-commerce, retail, or tech is a plus.

Posted 4 months ago

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