Process Data Engineer II - Product Development

Hyderabad, India

Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients with serious diseases.

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Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

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
  • Bachelor's or Master's 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.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

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Tags: Agile Architecture AWS Big Data Computer Science Data pipelines Data visualization dbt Engineering Excel GitHub Machine Learning Pipelines Privacy Python R SQL Statistics Tableau Unstructured data

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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