Expert Data Science, PCS at Novartis

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

24 Sep, 26

Salary

0.0

Posted On

26 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Natural Language Processing, Python, SQL, Statistical Analysis, Text Data Mining, Data Visualization, Pandas, NumPy, Scikit-learn, R Programming, Predictive Modelling, Git, Bioinformatics, Data Governance

Industry

Pharmaceutical Manufacturing

Description

Job Description Summary Apply data science, statistical analysis, machine learning and text data mining tech-niques to derive actionable insights under the guidance of senior data scientists and project stakeholders.Works collaboratively with cross-functional teams to prepare, analyze, visualize and interpret data, develop reproducible analytical workflows, and communicate results clearly to technical and non-technical audiences. Job Description Major accountabilities: Apply standard data science, statistical and machine learning methods to support research, operational and business questions across relevant scientific and functional areas. Perform data extraction, cleaning, transformation, integration and quality checks from multiple structured and unstructured data sources to enable reliable analysis. Conduct text data mining as a core responsibility, including processing, structuring and analyzing text-based data sources to identify trends, entities, relationships, classifications and insights relevant to project objectives. Support natural language processing activities, including text preprocessing, feature extraction, classification, clustering, entity recognition, topic modelling and evaluation of text-based analytical outputs. Build, validate and document predictive models, exploratory analyses, dashboards and visualizations under the supervision of more experienced data scientists. Contribute to the development of reproducible analytical pipelines using appropriate programming languages, libraries and version-control practices. Present analytical findings in a clear, concise and visually effective manner to project teams and business stakeholders, highlighting assumptions, limitations and recommended next steps. Collaborate with scientists, pathologists, data engineers, software engineers and other stakeholders to understand requirements, define analytical approaches and deliver timely outputs. Support evaluation and adoption of relevant data science tools, packages, visualization approaches and automation opportunities to improve efficiency and quality. Maintain awareness of current developments in data science, machine learning, natural language processing and analytics methods, and apply learnings to assigned tasks where appropriate. Ensure that work is performed in accordance with applicable data governance, privacy, documentation, quality and compliance requirements Minimum Requirement: Bachelor’s/ master’s degree in data science, Computer Science, Statistics, Mathematics, Bioinformatics, or a related quantitative discipline. Approximately 2 -4 years of relevant professional experience in data science, applied analytics, machine learning, bioinformatics, computational biology or a related field. Must have practical experience with text data mining, natural language processing or analysis of unstructured text data. Proficiency in Python and common data science libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn or equivalent tools. Experience with statistical analysis, exploratory data analysis, predictive modelling and model evaluation. Experience preparing, cleaning and integrating data from multiple sources. Familiarity with databases and query languages such as SQL. Ability to create clear data visualizations and communicate analytical results to technical and non-technical audiences. Basic understanding of machine learning concepts including supervised learning, unsupervised learning, feature engineering, model validation and performance metrics. Familiarity with version control, preferably Git, and reproducible coding practices. Skills Desired Artifical Intelligence (AI) (Inactive), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, NLP (NeuroLinguistic Programming) and GenAI (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives. Novartis is aware of employment scams which make false use of our company name or leader’s names or recruiter’s names to defraud job seekers. Novartis does not make job offers without interview and never asks candidates for money. If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information. Novartis is not responsible for any claims, losses, damages, or expenses resulting from scams. In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov .

Responsibilities

Apply data science, machine learning, and text mining techniques to derive actionable insights from structured and unstructured data. Collaborate with cross-functional teams to develop reproducible analytical pipelines and communicate findings to stakeholders.