Sr. Data Scientist (copy)

About ValGenesis
ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle.
Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.valgenesis.com/about
About the Role:
Responsibilities

• Develop statistical and machine learning models for QbD, CPV, PAT, and process monitoring use cases, including CQA modeling, anomaly detection, and multivariate process analysis
• Advise product managers and product leaders on how and where advanced analytics and modeling can create value in our product suite
• Collaborate cross-functionally with engineering and subject matter experts to ensure models are technically sound, explainable, and ready for production use
• Create prototypes and proofs of concept to explore new analytics-based product features
• Ensure all modeling practices align with the expectations of regulated environments (e.g., GxP, GMP)
• Write clear, comprehensive documentation that explains modeling approaches, assumptions, limitations, and usage patternsfor both internal and external stakeholders
• Contribute to product discovery by identifying opportunities where AI, ML, or advanced statistical methods can improve usability, decision-making, or automation
  

Requirements

• This role demands substantial experience in both data science and life sciences manufacturing domains. Candidates must demonstrate at least 5 years of hands-on experience in each of the following areas:
• 1. Advanced Data Science / Statistical Modeling
• Proven experience applying data science and statistical modeling in process manufacturing, life sciences, or industrial settings
• Expertise with tools and languages such as SIMCA, JMP, MODDE, Design Expert, Python, R, or MATLAB
• Strong working knowledge of multivariate analysis, chemometrics, predictive modeling, time-series modeling, or hybrid modeling techniques
• 2. QbD, CPV, PAT, or Process Validation in Regulated Environments
• Deep understanding of Quality by Design, Continued Process Verification, Process Analytical Technology, or process validation frameworks
• Practical experience working with real manufacturing or bioprocessing data under GxP, GMP, or other regulatory constraints
• Interpersonal & Collaborative Skills
• Product Thinking: You understand how your models and analytics connect to business outcomes and customer workflows. You think in terms of features, value, and usabilitynot just model performance
• Inquisitive and Outcome-Oriented: You ask questions that get to the heart of what users need, and you enjoy solving complex, ambiguous problems in real-world settings
• Strong Communicator: You can explain statistical modeling choices in plain languageboth to product teams focused on customer outcomes and to engineers building system functionality

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Get Hired
• Collaborative: You partner well with product managers, engineers, and domain experts to co-create practical, reliable, and user-aligned solutions
• Rigorous: You document your work with precision and transparency so that its understandable, repeatable, and traceableespecially in regulated environments
  

We are a global company with three offices in India (Bangalore, Chennai and Hyderabad) and a team that stays connected no matter where we are. Our executive leadership is local and approachable, and our CEO visits quarterly to spend time with the team, hear ideas, and celebrate wins. We believe in true work-life balance, which is why we work Monday through Friday and protect your weekends. We bring people together every day with free lunches, festive holiday goodies, and Diwali gifts that make work feel like a community. We support you beyond the office with a parental insurance co-pay and help you grow your skills through internal learning programs and opportunities to take on new challenges. At ValGenesis, you are not just an employee you are part of a team driving innovation that improves patient safety around the world.
Were on a Mission
In 2005, we disrupted the life sciences industry by introducing the worlds first digital validation lifecycle management system. ValGenesis VLMS revolutionized compliance-based corporate validation activities and has remained the industry standard.

Today, we continue to push the boundaries of innovation ? enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations.
The Team Youll Join
Our customers success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanitys quality of life, and we honor that mission.
We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done.
We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward.
Were in it to win it. Were on a path to becoming the number one intelligent validation platform in the market, and we wont settle for anything less than being a market leader.
How We Work
Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company.
ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.