Sanofi is hiring for an fresher entry level Data Scientist Associate role in India

Position:

• Data Modeling Manager Associate

Company:

• Sanofi

Location:

• Hyderabad, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• Not specified

Years of experience:

• 0 to 3 years

Company description

• Sanofi stands as a well-respected global life sciences organization.

• The company is committed to delivering healthcare solutions that improve access and outcomes for patients around the world.

• Operating in more than 100 countries, Sanofi is home to over 110,000 dedicated professionals.

• These professionals are focused on supporting individuals in their healthcare journey and ensuring they live healthier lives.

• Sanofi’s work covers prevention, treatment, and everything in between, with a strong emphasis on scientific innovation.

• The company’s diverse portfolio includes human vaccines, solutions for rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes, cardiovascular issues, and consumer healthcare.

• Sanofi is recognized as a leader in the pharmaceutical sector and has earned a solid reputation for its commitment to ethical practices and impactful work.

• Beyond treatments, Sanofi invests in using advanced technologies like Artificial Intelligence to enhance drug development.

• The company has a dedicated focus on creating robust data standards that foster interoperability and reusability.

• This ensures faster, more effective healthcare innovations that positively impact global health.

Profile overview:

• In this role, you will support the R&D Data Office, an essential part of Sanofi’s mission to drive data strategy across the R&D landscape.

• The team you’ll join works alongside business and digital colleagues to ensure data needs are met for crucial and transformative R&D initiatives.

• You will contribute by defining how structured, semi-structured, and unstructured data are stored, integrated, shared, and reported.

• Your role involves collaborating with scientists, clinicians, and other key stakeholders to ensure data is handled effectively.

• The position focuses on developing sustainable ways to make sure that data remains findable, accessible, interoperable, and reusable.

• You will be at the center of initiatives that use data to create significant advancements in healthcare research and patient outcomes.

• Your contributions will include setting data standards, guiding the development of data models, and influencing data governance.

• You’ll act as a trusted advisor and educator, guiding others across the R&D spectrum on the principles of effective data management.

• Your insights will be key to shaping future data structures that support long-term growth and innovation.

• This role offers a chance to make a meaningful impact on global health by supporting groundbreaking R&D efforts with solid data practices.

Qualifications:

• You should have experience in areas like data management, data analysis, or data architecture.

• A strong understanding of how data is used across its lifecycle and how it supports business needs is important.

• Familiarity with data models and experience applying best practices for naming and data governance is crucial.

• A background or understanding of data within the pharmaceutical R&D or life sciences field is especially valuable.

• Solid analytical thinking and a sharp eye for detail are required.

• You must be comfortable managing your time and ensuring tasks are completed with a high degree of quality.

• Good written and spoken communication skills are essential for working with different teams.

• Your ability to build relationships and influence outcomes will be important for success in this role.

• You should be someone who can take initiative and make thoughtful decisions.

• Being a team player and willing to share knowledge and support colleagues is key.

• Practical experience with data modeling, SQL, and database design is needed.

• Familiarity with RDF, NoSQL databases, and ontologies will help you excel in this role.

• Knowledge of pharma R&D platforms and the ability to handle requirements gathering, system design, and validation work are desirable.

• Experience working with hierarchical data models and seeing them through to implementation is an asset.

• A bachelor’s degree in science, engineering, or a related area is required; a master’s degree is preferred.

• You should be fluent in English.

Additional info:

• Your main task will be to create and refine conceptual and logical data models that align with R&D projects and programs.

• You will play a leading role in validating physical data models to ensure accuracy and usability.

• A deep understanding of data governance policies and standards will guide your decisions.

• You’ll maintain clear documentation that ensures data harmonization and metadata management.

• As part of your role, you will evaluate and provide input on how data is managed and shared across systems and applications.

• You’ll help set standards for current and future data management practices, closing gaps where they exist.

• Acting as a consultant and educator, you’ll help others in R&D understand best practices for data modeling and data use.

• You will gather data requirements from stakeholders, including data scientists and analysts.

• You’ll build models that are complex and scalable, ensuring they fit with the organization’s strategic goals.

• Establishing data governance frameworks and policies will be a significant part of your work.

• You’ll help ensure interoperability among systems, applications, and data sources through consistent data modeling practices.

• Sanofi believes that progress comes from people working together across differences.

• You’ll be part of a diverse team where everyone’s input is valued and respected.

• Sanofi aims to create an inclusive environment where everyone can grow and contribute meaningfully.

• As part of your journey at Sanofi, you’ll have access to training and support that help you reach your goals.

• This role offers the chance to contribute to global health improvements and be part of something that truly matters.

Please click here to apply.

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