1.0 - 5.0 years

0 Lacs

hyderabad, telangana

On-site

You will be playing a key role in developing clinical database products across various therapeutic areas such as Metabolic & CV, Neuroscience, Autoimmune, Oncology, and Respiratory with a focus on high quality to support Meta-analysis. Your responsibilities will include analyzing and annotating trial design information, treatments, demographics, and outcomes data from clinical literature sources. You will also be required to digitize results from graphs accurately and consistently. Collaboration will be a key aspect of your role as you work with lead consultants, peer data analysts, and quality managers to contribute to database rules, specifications, and quality processes. Additionally, you will undergo relevant training programs in areas such as Statistics, R coding, Systematic Literature review, and Data analysis methods to enhance your skills and advance within the organization. To qualify for this position, you should have a Master's degree in Pharmacology or Pharmaceutics (with relevant experience), PharmaD, Clinical Practice, Master's in Public Health, or Epidemiology. A minimum of 1-2 years of experience in Information science, Systematic Literature review, Health-economics, or public health sectors is required, with preference given to those with pharmaceutical industry experience. Strong knowledge of Pharmacology, clinical research, and clinical development processes is essential, along with familiarity with trial designs, Pharma Industry data standards, and ontologies. Having skills in statistics, data management tools like R, and a willingness to learn and collaborate in a team environment are crucial for success in this role. Excellent interpersonal skills, strong learning abilities, and a passion for supporting databases in various disease areas will be valuable assets that you bring to the team.,

Posted 5 days ago

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Data Scientist Siemens

7.0 - 10.0 years

9 - 17 Lacs

Bengaluru, Karnataka, India

On-site

Job description Job Responsibilities: Build and maintain univariate time series feature analysis Test and integrate new univariate time series models into IBP process Participate in the development and deployment of complex multivariate forecasting models Interface with IBP process representatives on model trouble shooting and new feature analysis Interface with analytical and subject matter experts throughout SHS organization in the pursuit of improved forecasting outcomes Provide expert consultation for focused reviews with management team when needed. Maintain documentation of and control framework for deployed models and tools Skill Set: 7 to 10 years of experience 3-5 years of experience with classic time series analysis tools (e.g. ARIMA, State Space Models, VAR, Error Correction Models etc.) 3-5 years of experience with machine learning models including Decision Tree, Regression, Gradient Boosting, and Deep Learning 3-5 years of experience of Python / R coding 3-5 years of experience with SQL coding Experience in working on Azure tech stack Experience building and deploying production time series forecast models Experience managing code repositories. Experience in Decision Science area / Operations Research / Applied Mathematics, Statistics, Data Science or Computer Science. Knowledge on LLMs Nice to have: 6+ years of experience implementing and managing time series analysis and forecast models 6+ years of experience implementing and managing machine learning models Experience working on projects in Supply Chain Management or Marketing analysis. Experience working with high volume time series forecasting Knowledge of In Vitro Diagnostics market space Experience building & deploying Structural Equation Models Experience utilizing MLFlow Experience working in SnowFlake Familiarity with Azure Databricks Familiarity with M Competition outcomes Experience in GenAI projects Masters in Economics, Operations Research, Applied Mathematics, Statistics, or Data Science

Posted 1 month ago

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