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Santa Clara, California, United States
Hybrid
Band
Level 3
Job Description Summary
#LI-Hybrid
Job Description
Key responsibilities:
Work with senior team members to identify opportunities for simplification, automation, and continuous improvement in operational data processes, including modernization of data curation workflows
Support the development and improvement of automated workflows for data processing, quality control, recurring dataset updates, and AI-enabled process improvement
Collaborate with cross-functional teams to curate, maintain, and improve key oncology reference datasets, with an emphasis on quality, correctness, reproducibility, and operational reliability
Contribute to reference dataset lifecycle management, including documentation, versioning, and traceable update processes
Assess dataset structure, integrity, and fitness for downstream scientific use, including attention to identifiers, primary keys, missing values, consistency, and related data quality issues, and help resolve data issues in collaboration with relevant partners
Contribute to best practices for reproducible workflows, data handling, and scalable dataset operations
Help keep oncology reference datasets current, usable, and responsive to evolving scientific and organizational priorities
Essential Requirements:
Degree in bioinformatics, computational biology, data science, computer science, or a related field, or equivalent relevant experience
Experience working with omics datasets in a research environment
Proficiency in one or more programming languages used in data science or bioinformatics, such as Python or R
Experience with data wrangling, data quality control, and reproducible analysis workflows
Familiarity with workflow automation and scripting for recurring data processing tasks
Familiarity with database principles and sound data modeling practices, including normalization, primary keys, joins, and thoughtful handling of missing values and data integrity issues
Knowledge of version control and Unix / Linux-based working environments
Strong organizational skills and attention to detail, with a demonstrated interest in operational excellence
Ability to learn quickly, manage multiple tasks, and work effectively in a collaborative environment
Excellent written and verbal communication skills, and the ability to work effectively across technical and scientific teams
Desirable Requirements:
Experience with oncology datasets, translational research data, or biomedical reference data resources
Familiarity with FAIR data principles, metadata curation, or scientific data stewardship
Experience maintaining reference datasets or supporting data products used by multiple stakeholders
Experience collaborating with experimental scientists or lab-based partners
Novartis Compensation and Benefit Summary:
The salary for this position is expected to range between $103,600 and $192,400 per year.
The final salary offered is determined based on factors like, but not limited to, relevant skills and
experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published
salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the
role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and
disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Accessibility and reasonable accommodations
The Novartis Group of Companies are 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 application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings
Salary Range
$103,600.00 - $192,400.00
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