What you will do In this vital role you will for designing, developing, and maintaining software solutions for Research scientists. Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre-clinical studies as well as those that manage compound inventories / biological sample banks. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing). Roles & Responsibilities: Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software Identify and resolve software bugs and performance issues Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time Maintain detailed documentation of software designs, code, and development processes Customize modules to meet specific business requirements Work on integrating with other systems and platforms to ensure seamless data flow and functionality Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently Possesses strong rapid prototyping skills and can quickly translate concepts into working code Contribute to both front-end and back-end development using cloud technology Develop innovative solution using generative AI technologies Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Identify and resolve technical challenges effectively Stay updated with the latest trends and advancements Work closely with product team, business team including scientists, and other collaborators Roles & Responsibilities: Project & Portfolio Delivery Lead the execution of initiatives across the data platforms portfolio, ensuring projects are delivered on time, within scope, and to expected quality standards. Coordinate cross-functional teams (Business, engineering, architecture, operations, governance) to deliver tools, technologies and platforms. Lead the initiatives for evaluating latest market technologies in the area of data Engineering & Management & Governance Financial Management Own and manage project and portfolio budgets, including tracking actuals vs forecasts, accruals, and reporting on financial performance to stakeholders. Partner with Finance, Procurement, and Vendor Management teams to support contract reviews, Platform costs. Proactively monitor financial risks and ensure alignment of project spend with approved business cases and funding models. Prepare financial summaries and variance reports for leadership and program steering committees. Planning & Governance Maintain integrated plans and roadmaps across projects within the data platforms portfolio. Run governance forums, manage stakeholder expectations, and ensure project artifacts, status reports, and RAID logs are consistently maintained. Stakeholder & Communication Management Serve as the central point of contact between technical teams, business stakeholders, and vendors. Lead project steering committee meetings and provide clear and concise updates to senior leadership. Agile & Hybrid Delivery Apply agile, SAFe or hybrid delivery methods based on project needs, support backlog grooming, sprint planning, and release planning. Promote continuous improvement in delivery through retrospectives and feedback loops. Must Have skills: Demonstrated experience managing project financials (budgeting, forecasting, variance analysis, cost optimization) Experience working in large, complex enterprise environments with cross-functional stakeholders Familiarity with modern data platforms such as Azure Data Lake, Databricks, Snowflake, Synapse, Kafka, Delta Lake, etc. Strong understanding of data management lifecycle, data architecture, and platform components (ingestion, processing, governance, access) Excellent interpersonal, presentation, and negotiation skills PMP, PMI-ACP, SAFe, or equivalent certifications are a plus Basic Qualifications and Experience: Masters degree with 8-10+ years of experience in Business, Engineering, IT or related field OR Bachelors degree with 10-14+ years of experience in Business, Engineering, IT or related field OR Diploma with 14+ years of experience in Business, Engineering, IT or related field Good-to-Have Skills: Strong understanding of Cloud Infrastructure, Data & Analytics tools like Databricks, Informatica, PowerBI, Tableau and Data Governance technologies Experience with cloud (e.g. AWS) and on-premises compute infrastructure Experience with Databricks platform. Professional Certifications : Project Managerment Certifications Agile Certified Practitioner (preferred) AWS certification Soft Skills: Excellent interpersonal, presentation, and negotiation skills Strong analytical abilities to assess and improve data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams