Job
Description
Roles & Responsibilities: Lead and manage diverse teams within a matrixed organization. Develop talent, motivate the team, delegate effectively, champion diversity within the team and act as a role model of servant leadership. Manage, grow, and develop the Biological Studies Technology team in India, ensuring global ways of working are embedded in the local organization. Provide Project Management expertise for the implementation of specialized technology platforms that enable streamlined and automated scientific data management ensuring data integrity from lab to analytics. Oversee operating budgets and product team budgets, ensuring regular review of actuals and latest estimates, managing according to agreed governance. Provide technology delivery operations leadership for Biological Studies product teams that enable systems for in vitro, in vivo, preclinical, and clinical study data management. Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities. Foster a culture of collaboration, innovation, and continuous improvement. Understand the decision-making process, workflows, and business and information needs of business partners and team members. Work with Product Owners, Service Owners and/or delivery teams to ensure that delivery matches commitments, facilitating communication when service commitments are not met. Ensure communication of key performance metrics and analysis of unmet needs. Ensure ongoing alignment with strategy, compliance, and regulatory requirements for technology investments and services. Collaborate with geographically dispersed teams, including those in the US, EU, and other international locations. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Functional Skills: Must-Have Skills: 5+ years of experience in implementing and supporting biopharma scientific software platforms. Expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Demonstrated excellence in technology delivery operations including project management and budget management Experience building strong teams with consistent practices in a matrix organization Preferred Qualifications: Experience in a people leadership role within a pharmaceutical or technology organization Experience leading the implementation of scientific software platforms such as Electronic Lab Notebook (ELN) and Laboratory Information Management Systems (LIMS) Budget management for technology ecosystem Experience in IS governance practices for product delivery and project management Knowledge of AI and machine learning for drug discovery research and preclinical development. Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Strong analytical/critical-thinking and decision-making abilities Ability to work effectively in a fast-paced, dynamic environment Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Excellent leadership and team management skills Strong transformation and change management experience Exceptional collaboration and communication skills High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented with a focus on achieving team goals Strong presentation and public speaking skills Ability to work effectively with global, virtual teams
