You are a highly collaborative individual and enjoy solving problems that focus on adding business value. You have a sense of ownership and enjoy hands-on technical work. Our values resonate with yours.
Collaboration with business stakeholders, engineers and internal teams to build and implement extraordinary pharma focused data products (re-usable asset) and solutions and delivering them right to the client will be of utmost importance.
You will also be responsible for developing deep Life Sciences domain understanding in at least in one of the following areas - Manufacturing, Procurement, Supply Chain, Chemical Discovery, Molecular / Materials optimization, Clinical trial design and operationalization, Real World Evidence and Commercial.
Other key responsibilities will include:
- Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
- Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
- Understanding, assessing and mapping the data landscape
- Maintaining our Information Security standards on the engagement
- Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
- Defining the technology stack to be provisioned by our infrastructure team
- Building modular pipeline to construct features and modelling tables
What you’ll learn:
- How successful projections on real world problems across Life Sciences use cases are completed through referencing past deliveries of end to end pipelines
- Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
- Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data
- Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
- Real-World Impact – We provide unique learning and development opportunities internationally.
- Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programs at all levels.
- Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
- Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
- Striving for Diversity – With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life.