Senior Data Scientist

4 days ago

Hyderabad Secunderabad Telangana, India beBeeScientific Full time ₹ 1,04,000 - ₹ 1,30,878
Scientific Business Analyst Position

This key role is a vital part of our organization, requiring collaboration with partners and peers to translate technology and data needs into technical requirements. You will be a crucial member of a cross-functional team implementing scientific software platforms for large molecule discovery.

The ideal candidate will possess deep scientific domain expertise and a passion for ensuring that technology solutions support data integrity and scientific workflows.

Job Responsibilities
  • Requirements & Analysis: As a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team, you will serve as a liaison between global Research Informatics and research scientists, translating complex scientific needs into clear, actionable requirements, user stories, and supporting artifacts.
  • Platform & Technology Management: You will manage a suite of custom internal platforms, Commercial Off-the-Shelf (COTS) software, and system integrations. You will lead the Large Molecule Discovery technology ecosystem and ensure the platform meets requirements for data analysis and data integrity.
  • Compliance & Innovation: Ensure operational excellence, cybersecurity, and compliance. You will also ensure that scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning (AI/ML) capabilities.
Required Skills and Qualifications
  • A Master's degree with relevant experience, a Bachelor's degree with extensive experience, or a Diploma with a substantial background in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or a related field.
  • Experience in implementing and supporting biopharma scientific software platforms is preferred.
Technical Skills
  • Proven expertise in a scientific domain area and related technology needs.
  • Experience with writing user requirements and acceptance criteria in agile project management systems like JIRA.
  • Experience in configuration and administration of LIMS/ELN platforms, Discovery software tools, and Instrument Automation and Analysis platforms.
  • Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports.
  • Understanding of basic data querying using SQL and Databricks.
  • Experience with leveraging LLM tools to accelerate software development processes is a plus.
  • Experience with cloud (e.g., AWS) and on-premise infrastructure is a plus.
  • Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) is a plus.
  • Knowledge of the antibody discovery design, make, test, and analyze cycle is a plus.
  • Experience in AI and machine learning for drug discovery research is a plus.

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