Key Responsibilities:

• Collaborate closely with data scientists and subject-matter experts to fulfill data and computational needs.
• Validate and ensure the accuracy and quality of data by cleaning, shaping, and sometimes analyzing, normalizing, and conforming it to existing models and vocabularies. 
• Identify and rectify data inconsistencies and irregularities. 
• Design data models and prepare data artifacts to effectively meet business needs. 
• Promote culture of transparency and communication regarding data modifications, lineage, and definitions to all stakeholders

Essential Requirements :

• Python and/or R, and any other scripting language. 
• Experience with HPC, cloud (AWS) workflows, setup and deployments. 
• Experience deploying ML models along with resolving package dependencies) from github, huggingface, etc., successfully.
• Experience with DevOps, MLOps
• Demonstrable data management expertise in relational, document, column and graph datastores.
• Experience building ETL processes in high-performance environments like Databricks, AWS, Snowflake.
• Experience with python ML frameworks: Pytorch, tensorflow is a plus.
• Experience with several bioinformatics tools for sequence matching, alignment, clustering is a plus. data imputation and visualisation methods.
• Strong background in extracting relevant data from diverse sources (excel sheets, powerpoint, csv, database queries, etc.) with varying formats and potentially missing or mislabeled information. Experience and familiarity with various data types, including images, tabular, unstructured, and text.  
• Experience working with other subject matter experts to actively solicit information needed to harmonise datasets into machine learnable form. 
• Experience in document mining and processing diverse data sources. 
• Experience working with several large public scientific (preferably biology-related) data sources is a plus. 
• Experience with validating the data accuracy and quality of data by cleaning, shaping, analyzing, normalizing, and conforming it to existing models and vocabularies. 
• Strong interest in the latest relevant literature and application of ML and data science to the biological sciences, is a plus.
• Understanding and working vocabulary about common machine-learning concepts (training sets vs. test sets, over/under fitting, bias, annotations, feature extraction, RAG, LLMs, classifiers, and so on)
• Excellent English-language oral and written communication skills. 
• Proactive communication habits: asking questions and seeking clarifications when necessary.

Desirable Requirements:

• BS in Computer Science, Informatics or similar, or equivalent practical experience.

• Fluency in English

  

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity and Inclusion: 
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Accessibility and accommodation 
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message