At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.
Senior Specialist Software Engineering
We are looking for a team member for Digital solutions team who will work within the Human Health Digital Data and Analytics area to contribute to development of our advanced data science application platform. We are realizing the vision of a cohesive commercial decision support suite, helping stakeholders make data-driven decisions to optimize delivery of our product to patients. The candidate will work with the Global Commercial Assessment & Forecasting (GCAF) to design and implement robust forecasting solutions in python.
The Role
We need people who can
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Architect systems sensibly. We don t need systems glued together by duct tape. We really love simple, effective and maintainable designs. If you have had any design experience in the past, you can apply right-away!
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Take the lead. We expect you to show technical leadership and we also expect accountability. You use your skills to mentor and develop the people that you lead.
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Prioritize, plan and execute. You are meticulous about how work is executed.
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Take pragmatic decisions around how work is accomplished. We would like our leads to strike a balance between idealism and fit-for-purpose.
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Understand more than just jargons around Agile, SOLID, KISS, YAGNI. You have seen the best and worst of all different ways of working and understand the need for processes or the need to not have them either.
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Learn new languages and/or tech stacks and master them in a short time. You share your knowledge with our dev community and you are happy to learn from them too.
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Build & Develop the Dev Community . Organize hackathons or codathons or marathons. Whatever helps bonding and knowledge sharing within the group.
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Communicate politely, professionally and effortlessly with everyone
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Have fun at work . Work life balance is just as important to you as it is to us.
What you will be doing
Within 3 Months
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Understand the product that your team works on
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Get the full knowledge of the technical platform that we work on.
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Familiarize yourself with our ecosystem, our CI/CD processes, our ways of working, our support functions and our coffee machine
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Be able to showcase your learnings on the project back to the team.
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Pair with your colleagues on new developments and see to their delivery.
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Participate in the different ceremonies . Understand their purpose. Get acquainted with our stakeholders
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Shore up your knowledge on Pharmaceutical Processes around Forecasting.
Within 6 Months
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Responsible for one/multiple therapy areas - demonstrating good pharmaceutical knowledge.
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Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as well as statistical techniques within area of responsibility
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Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk opportunity/uncertainty - identify and elevate key forecasting levers/insights/findings to inform decision making.
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Perform quality checks and validate python implementation of the models.
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Build own components in python for our product suite, build from quick prototypes to extensive web-based applications.
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Conduct code reviews, ensure changes enhance maintainability and performance.
Within 12 Months
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Collaborate on idea generation, definition, and construction with teams across the company.
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Learn about the newest techniques and technologies and share with others to improve our team culture and ways of working.
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Reassess our products frequently to enhance models, user experience, performance, and stability.
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Mentor and train new joinees and existing peers
Education Minimum Requirements:
Engineering in Computer Science, post-graduates plus.
Required Experience and Skills:
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8+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics as an added plus
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Excellent programming skills with Python, AWS Cloud, Micro Services, Data Modelling, and API design with knowledge of Agile processes.
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Excellent knowledge in building Enterprise Applications, define the overall structure and design of software systems.
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Current Contingent Workers apply HERE
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Employee Status:
Regular
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Hybrid
Shift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing