Real World Programming - RU Head

GSK India

7 - 8 years

20 - 25 Lacs

Bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

Procurement Manager Quality Assurance Resourcing Oncology Life sciences Manager Quality Control Forecasting Public health SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Accountable for planning and executing statistical programming and quality control (QC) of all studies and real-world data insights as relevant.
Full accountability for programming of simple to moderately complex studies.
Maintain a first time right mindset to ensure high-quality deliverables.
Accountable for the accuracy and reliability of programming outputs.
Implement and uphold quality assurance processes to maintain high standards.
Create specification documents for programming.
Drive stakeholder engagement
Lead, mentor and manage the performance of Real-World Programming team to achieve the best results out of them by identifying training and development needs, constructive feedback, motivating them and giving them a fair opportunity to grow, rewarding and recognizing.
Act as a programming Lead for one the disease area and work hands on the projects
Strategize and drive stakeholder engagement by identifying needs, collaborating, communicating expectations and timelines, suggesting solutions, and ensuring alignment with business objectives, while creating and propagating engagement processes for the team.
Develop and implement resourcing strategies, review efforts and demand data to identify inefficiencies, conduct resource forecasting, and ensure optimal allocation of programming resources aligned with business priorities.
Collaborate with cross-functional teams to design and execute programming strategy for the real-world evidence studies.
Inspires and motivates the entire team around the vision of GSK, Biostatistics and RWDMA and bringing out the best from people
Sets team vision and objectives for long-term goals for the team based on the business needs and the talents of employees
Encourages the team for "out of the box thinking" and develop an open culture where team members can share their ideas about "what else can be done"
Stay updated with the latest developments in statistical programming, real-world evidence, and relevant regulatory guidelines.
Build a recruitment strategy to attract and hire exceptional talent, retain outstanding people; embed new people processes
Ensure the team members take accountability of their work by owning the work and driving through performance and communication
Plan and implement trainings for any new identified technology
Ensures that the team members have the resources available to adapt to changes quickly without effecting the deliverables
Act as change agent and make team understand the rationale behind any changes be it timeline, technology or organizational structure
Foster a culture of ownership and accountability within the team.

Education Requirements

Advanced degree (Masters or Ph.D.) in Life Sciences, Epidemiology, Biostatistics, Public Health, Computer Sciences, Mathematics, Statistics or a related field with applicable experience .

Job Related Experience

Proven track record of leading and managing high-performing teams for real-world evidence projects.
Experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research.
Expertise in some of the most commonly used Real World Databases within Real World landscape
Expertise in R with proficiency in other programming languages such as SQL, or Python.
Passionate about working hands-on with data, and proficient in manipulating large, complex datasets and preparing supporting documentation for quality control (QC)
Experience of working in global matrix environment and managing stakeholders effectively
Experience of using technologies (AI/ML, NLP, Deep learning models etc) to bring efficiency as well as in simplifying processes
Growth mindset and a commitment to continuous learning and development.
Excellent leadership, communication, and interpersonal skills.
Excellent problem-solving, communication, and interpersonal skills.
Innovative mindset and willingness to challenge status quo, solution-oriented mindset
Familiarity with commonly used statistical and epidemiological concepts
Fluent in written and spoken English to effectively communicate and able to articulate complex concepts to diverse audiences

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