Data Science Software Engineer

2 weeks ago

Woking, United Kingdom Danaher Full time

IDBS is a dynamic and innovative company providing purpose-built software solutions to address the data management challenges prominent across the BioPharma lifecycle and supply chain.

Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.

Cloud-native and analytics-centric, our platforms enable customers in research, development and manufacturing to efficiently and compliantly access critical data and insights to make faster, smarter decisions with greater confidence.

IDBS serves thousands of users across hundreds of organizations around the globe. Our predominant customer base is Life Sciences and includes 23 of the top 25 pharmaceutical companies and more than 250 small and medium-sized pharma and BioPharma companies, CROs, CDMOs and CMOs.

IDBS is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

Do you want to work in an Agile software team? Do you enjoy using statistics and AI to solve problems?

We are currently seeking a Data Science Software Engineer who will be responsible for creating high quality software, including data science models, for use primarily across the pharmaceutical, life-science and healthcare industries. This will involve a combination of creating solutions to mine, interpret, clean, analyze and visualize scientific data, and of coding and integrating the solutions into IDBSâs platform.

This is a hybrid position (minimum 2 days a week - Wednesday and either Tuesday or Thursday).

What weâll get you doing:

  • Participate in designing, implementing and improving current and new IDBS data and analytics applications
  • Build analytics processes to solve scientific problems
  • Build predictive models and machine learning algorithms
  • Generate information and insights for data sets to facilitate customers in identifying trends and patterns
  • Create visualizations of data in BI tools like Tableau, PowerBI, Spotfire or similar

Here is what success in this role looks like:

  • Bachelorâs degree in statistics, applied mathematics, or related discipline
  • 2+ years experience in data science, and of working with data pipelines
  • Solid knowledge in using Machine Learning and AI methodologies
  • Deep knowledge of maths, probability, statistics and algorithms
  • Strong knowledge of Python, R or similar languages
  • Understanding of data structures, data modelling and software architecture

It would be a plus if you also possess previous experience in:

  • Biology and chemistry knowledge desirable
  • Software development within an agile feature team

At IDBS we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for IDBS can provide.

At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrowâs science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering whatâs next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

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