Sr. Discoverant Analytics Developer - Biovia (BioPharma / Lifescience) Technology Domain

Designation: Senior Discoverant Analytics Developer (Biovia application/systems)

Qualification: Bachelor’s or master’s degree in computer science, Data Science, Engineering, Life Sciences, or a related field.

Experience: Minimum 3+ years of hands-on experience in Biovia Discoverant (modelling, dashboarding & data integration).

Work Timing: US (PST) Hours (Work schedule can be split into 4 hours PM (IST) and 4 hours AM (PST) working hours once KT (Knowledge Transfer) days are completed for new Joiners - depending on daylight saving)

Client Brief: A pioneering biopharmaceutical leader, our organization is driven by a mission to discover, develop, and deliver transformative therapies that improve the lives of people around the world. With a deep focus on innovation, we have introduced groundbreaking treatments across areas such as virology, oncology, and inflammation. Our trailblazing work has contributed to global advancements in HIV treatment and the fight against viral diseases. Recognized for a robust pipeline and a legacy of scientific excellence, we continuously invest in cutting-edge research and strategic partnerships. Our commitment to access, sustainability, and patient-centric innovation has earned us accolades as one of the most admired and socially responsible companies in the healthcare industry.

Job Role: As a Senior Discoverant Analytics Developer, you will play a pivotal role in designing, developing, and optimizing analytics solutions using Biovia Discoverant. This role requires close collaboration with cross-functional teams to integrate, model, and visualize data from multiple scientific and manufacturing systems (LIMS, MES, SCADA, ERP). Your expertise in data engineering, statistical tools and cloud platforms will support high-impact decision-making across the product lifecycle and operations.

Key Responsibilities:

• Design and implement analytics solutions using Biovia Discoverant
• Develop dashboards and models for real-time and historical data analysis
• Integrate and transform data from LIMS, MES, SCADA/Historian, and ERP systems
• Collaborate with scientists, engineers, and IT teams to gather requirements and optimize data flows
• Create scalable and reusable analytics components
• Ensure compliance with GxP and data integrity standards
• Document data models, workflows, and system interactions
• Support validation and testing of analytics solutions in a regulated environment
• Contribute to architecture discussions for data integration and cloud enablement

Required Skills:

• Hands-on expertise with Biovia Discoverant (including modelling, dashboarding, and integration)
• Strong experience with SQL and at least one programming language (e.g., Python or R)
• Knowledge of data sources such as LIMS, MES, SCADA/Historian, ERP systems
• Familiarity with data transformation, ETL processes, and real-time analytics
• Experience working in regulated environments (GxP, FDA)
• Excellent troubleshooting and problem-solving skills
• Strong communication and stakeholder management abilities

_ Desired Skills:_

• Exposure to cloud platforms such as AWS or Azure
• Understanding of data lake architectures
• Experience with data visualization and business intelligence tools
• Familiarity with Agile methodologies and DevOps practices
• Knowledge of pharmaceutical manufacturing or laboratory operations

_ Personal Attributes:_

• Detail-oriented with a focus on data accuracy and integrity
• Analytical mindset with a passion for solving complex problems
• Proactive, self-driven, and able to work independently and within cross-functional teams
• Strong interpersonal skills and ability to communicate technical information to non-technical audiences
• Commitment to continuous learning and staying updated with emerging technologies

Job Types: Full-time, Permanent

Pay: Up to ₹3,500,000.00 per year

Experience:

• Discoverant Analytics Developer in (BioPharma/Life science) : 3 years (Required)
• (SQL and Python / R): 2 years (Required)
• Data Sources (e.g., LIMS, MES, SCADA/Historian, ERP systems): 2 years (Required)

Shift availability:

• Night Shift (Required)
• Overnight Shift (Preferred)

Work Location: Remote