Designation: Pipeline Pilot Protocol (PLP) Developer
Qualification: Bachelor’s or master’s degree in computer science, Bioinformatics, Life Sciences, Chemistry or related field.
Certifications (if any):
- Certification in Pipeline Pilot or Scientific Workflow Tools (preferred)
- Relevant certifications in Data Science, Cheminformatics or Software Development (optional)
Experience: Minimum 3+ years of relevant experience in Pipeline Pilot Protocol (PLP) development, scientific workflow automation and data integration within life sciences or drug discovery environments.
Work Timing: 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 – During KT Period (i.e. 3 months) work schedule will be complete US (PST) working hours.
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: The Pipeline Pilot Protocol (PLP) Developer will be responsible for designing, developing and maintaining data workflows and automation protocols using Pipeline Pilot. The role involves working closely with scientific and research teams to streamline data processing, analysis and reporting across drug discovery and development processes. The candidate will contribute to enhancing data-driven decision-making by building scalable and efficient computational workflows.
Key Responsibilities:
- Design, develop and maintain Pipeline Pilot protocols for data integration, analysis and reporting
- Collaborate with cross-functional teams including scientists, data analysts and IT stakeholders
- Automate data processing workflows to improve efficiency in research and development
- Integrate Pipeline Pilot with databases, external tools and enterprise systems
- Troubleshoot and optimize existing workflows for performance and scalability
- Document protocols, workflows and technical specifications
- Ensure compliance with data standards and regulatory requirements in life sciences
- Support deployment and maintenance of Pipeline Pilot environments
Required Skills:
- Hands-on experience with Pipeline Pilot (protocol development and customization)
- Strong programming/scripting skills (Python, Java or Perl)
- Knowledge of cheminformatics, bioinformatics or scientific data processing
- Experience with data integration, ETL processes and workflow automation
- Familiarity with relational databases (SQL)
- Understanding of drug discovery or life sciences domain
- Strong analytical and problem-solving skills
Desired Skills:
- Experience with cloud platforms (AWS, Azure)
- Knowledge of data visualization tools (Tableau, Spotfire)
- Exposure to machine learning or data science workflows
- Familiarity with regulatory standards (GxP, 21 CFR Part 11)
- Experience working in Agile/Scrum environments
Personal Attributes:
- Strong communication and stakeholder management skills
- Detail-oriented with a high level of accuracy
- Ability to work independently and in collaborative team environments
- Proactive and solution-driven mindset
- Adaptability to evolving technologies and business needs
Job Types: Full-time, Permanent
Pay: Up to ₹3,000,000.00 per year
Benefits:
- Flexible schedule
- Provident Fund
- Work from home
Experience:
- PLP Development and workflow automation: 3 years (Required)
- programming/scripting (Python, Java or Perl) : 2 years (Required)
- Life Sciences domain: 3 years (Required)
Shift availability:
- Night Shift (Required)
- Overnight Shift (Preferred)
Work Location: Remote
