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Bristol-Myers Squibb

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4.0

based on 125 Reviews

63 Bristol-Myers Squibb Jobs

Process Data Engineer II - Product Development

BRISTOL-MYERS SQUIBB INDIA PVT.LTD.

4.0

based on 125 Reviews

3-5 years

Hyderabad / Secunderabad

1 vacancy

Process Data Engineer II - Product Development

Bristol-Myers Squibb

posted 45min ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Automation Testing Life Sciences Analytical Chemistry Clinical Trials

+ 1 more

Job Description

Process Data Engineer II - Product Development

Summary

Product Development (PD) at Bristol Myers Squibb is committed to accelerating CMC development to launch through strategic investments in novel development and manufacturing platforms, new development playbooks, and advancing innovation through modeling, AI/ML, and automation. These specific strategic investments are known as our Development Excellence strategy. As part of this organization, the Product Development Strategy group is accountable for developing a holistic digital and modeling strategy and its global integration and implementation.

We are seeking a highly motivated Process Data Scientist II to join the Modeling and Digital Strategy group. The Process Data Engineer II will be responsible for the design and development of data architecture and pipelines to support cross-functional modeling projects enabling accelerated development. The role will participate in highly visible and agile cross-functional teams spanning the digital and modeling space. They will collaborate closely with partners within PD such as drug substance, drug product, and analytical functions as well as with business partners such as IT.

Roles Responsibilities

Partner with PD scientists and IT team members to develop and implement data engineering solutions that deliver high-quality, contextualized datasets as part of an agile team.
Define data requirements, gather and mine large scale structured and unstructured data, and validate data by running various data tools in the Big Data Environment to enable use case development.
Collaborate with scientists and engineers to identify data sources and locations, understand data requirements and challenges, and provide data solutions.
Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis.
Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering in order to improve productivity.
Communicate and translate between life science experts and data engineers.
Provide training, guidance, and mentorship to junior analysts and team members when required.
Work hours that provide sufficient overlap with standard east coast US working hours.

Skills and Competencies

Excellent interpersonal, collaborative, team-building, and communication skills to ensure effective collaborations within matrix teams.
Ability to work with diverse teams across organizational lines and structures.
Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.

Experience

Bachelors or Masters degree in analytical, engineering, or in a relevant field such as chemical engineering, or life sciences, with an interest or minor in data science/computer science.
Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience.
Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau).
Experience with biotech product development and/or manufacturing operations is a significant plus.
Experience in the biopharma industry a plus.