Data Scientist

3 days ago

Bengaluru, Karnataka, India beBeeDataScience Full time US$ 1,25,000 - US$ 1,75,000

Job Title: Data Scientist - AI Systems

About the Role:

We are seeking a talented and driven Data Scientist to join our dynamic team. In this role, you will collaborate with cross-functional teams of scientists, engineers, and bioinformaticians to analyze complex biological data, develop advanced models, and deliver actionable insights that propel our research, development, and commercial objectives.

Key Responsibilities:

  • Design, develop, and implement robust statistical models, machine learning algorithms, and analytical pipelines.
  • Partner with internal teams—including research, product, informatics, and engineering—to define project goals, data needs, and analytical approaches that align with our strategic objectives.
  • Apply data mining and predictive modeling techniques to identify patterns, trends, and correlations in diverse datasets (e.g., sequencing data, clinical outcomes, operational metrics).
  • Evaluate and validate model performance, ensuring reproducibility, scalability, and reliability of analytical solutions.
  • Communicate complex data-driven findings clearly and effectively to both technical and non-technical stakeholders through presentations, documentation, and visualizations.
  • Stay current with emerging trends, tools, and best practices in data science, machine learning, and computational biology; continuously seek opportunities to improve processes and outcomes.
  • Contribute to the publication and dissemination of results in peer-reviewed journals, conferences, and internal reports as appropriate.

Requirements:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Computational Biology, Engineering, or a closely related field.
  • Proven experience working with large and complex datasets, with a strong background in data wrangling, statistical analysis, and machine learning.
  • Demonstrated proficiency in at least one major programming language used for data analysis (such as Python, R, or Julia).
  • Experience with cloud computing platforms, including AWS, MS Azure, as well as modern data warehousing solutions such as Snowflake.
  • Familiarity with enterprise data management / data processing tools – Kubernetes, Tableau, Apache.
  • Understanding of version control systems, especially Git, for collaborative code development and review.
  • Excellent communication skills, including the ability to translate technical findings into actionable recommendations for diverse audiences.

Preferred Qualifications:

  • Master's degree or Ph.D. in a relevant field (Bioinformatics, Computational Biology, Data Science, etc.).
  • Hands-on experience with genomic data analysis, including familiarity with next-generation sequencing (NGS) platforms, omics data types, and relevant bioinformatics tools.
  • History of contributing to open-source projects or publications in scientific journals.
  • Experience working in highly regulated environments and understanding of data privacy standards (e.g., HIPAA, GDPR) as applied to biological and clinical data.

Key Skills and Competencies:

  • Strong foundation in statistics, probability, and experimental design.
  • Expertise in supervised and unsupervised machine learning techniques (e.g., regression, classification, clustering, dimensionality reduction).
  • Comfortable working in a regulated environment and managing code, solution designs within these constraints.
  • Proficiency in data cleaning, preprocessing, and feature engineering for structured and unstructured data.
  • Ability to assess and select appropriate models, evaluate metrics, and iterate solutions using best practices.

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