Data Scientist ML / AI-Systems

Illumina

2 - 7 years

4 - 8 Lacs

bengaluru karnataka india

Posted:1 week ago| Platform: Foundit logo

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Skills Required

statistical modeling r julia

Work Mode

On-site

Job Type

Full Time

Job Description

Position Summary:

Data Scientist

Key Responsibilities:

Design, develop, and implement statistical models, machine learning algorithms, and analytical pipelines
Collaborate with research, informatics, engineering, and product teams to define project goals and data strategies aligned with business objectives
Apply data mining and predictive modeling techniques to uncover trends and patterns in diverse biological and clinical datasets
Validate model performance and ensure reproducibility, scalability, and robustness of analytics solutions
Work with software engineering teams to integrate models into production-ready internal and customer-facing tools
Communicate technical findings and insights effectively to both technical and non-technical audiences via reports, presentations, and visualizations
Remain current with industry trends, tools, and best practices in data science, AI, and computational biology
Support development of LLM-driven tools and chatbot-based enterprise solutions in collaboration with AI systems teams
Contribute to peer-reviewed publications, scientific conferences, and internal documentation

Required Qualifications:

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Computational Biology, Engineering, or a related field
Proven experience working with large-scale datasets, data wrangling, statistical analysis, and machine learning
Proficiency in at least one programming language for data analysis (Python, R, or Julia)
Experience with cloud platforms such as AWS or Azure, and data warehouse tools like Snowflake
Familiarity with Kubernetes, Apache, and data visualization platforms such as Tableau
Understanding of version control systems like Git for collaborative development
Excellent communication skills with the ability to present technical findings clearly to diverse audiences
Strong problem-solving skills, detail-oriented, and ability to handle multiple projects independently

Preferred Qualifications:

Master's degree or Ph.D. in Data Science, Bioinformatics, Computational Biology, or a related field
2+ years of relevant experience or equivalent academic/industry project experience
Hands-on experience with genomic or next-generation sequencing (NGS) data
Experience in a regulated environment with knowledge of privacy standards (e.g., HIPAA, GDPR)
Track record of contributing to open-source projects or publishing in scientific journals
Background in healthcare, biotechnology, or life sciences

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