101 days ago on sjobs.brassring.com

Digital Data Scientist, Translational Medicine

Novartis Pharma Schweiz AG

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Digital Data Scientist, Translational Medicine

Job ID 208827BR Position Title Digital Data Scientist, Translational Medicine Division NIBR Business Unit Translational Medicine Country Switzerland Work Location Basel Company/Legal Entity Switzerland Novartis Pharma AG, Basel Functional Area Research & Development Job Type Full Time Employment Type Regular Job Description Location: Basel or Cambridge, MA

Novartis supports international family relocation

# This is a Talent Pool advert for future Digital Data Scientist positions based in either Basel (Switzerland) or Cambridge, MA (USA) - please state in your application letter the locations you would like to be considered for. #

As a data specialist working in Translational Medicine (TM) / Biomarker Development (BMD) / Quantitative Sciences & Innovation (QSI), you will focus on mobile medical devices, very large multivariate clinical datasets, and real-world data (e.g. medical claims). You will be part of Novartis’ commitment to change clinical practice for the better by leveraging modern technologies and analytics to improve how we quantify patient disease phenotypes.

Acting as a point of contact for clinical trial teams enabling them to leverage device-derived data within their studies, and where clinical needs are unmet by current methodology, you will work in close collaboration with analysts and data engineers to develop novel methods and software for data ingestion, integration, analysis and visualization.

1. Provide support to clinical trial teams, and consulting expertise to other project teams, working with digital mobile health devices

a. Help advise on the selection of devices and provide guidance on implementation (data ingestion, integration and analysis)

b. Ensure study design matches needs of the team

c. Integrate with other clinical data sources and execute exploratory analysis and reporting

2. Contribute to or drive the development of new analytic methods in collaboration with internal NIBR/Development groups or external groups where existing practice is not sufficient to meet clinical need

a. Contribute to the team helping to address those unmet needs

b. Collaborative interface to other data expertise groups (engineering, analysis, etc.)

3. Contribute to and help define best practices for implementation of streaming/real-time/digital devices into studies

4. Maintain expertise in best practices for data handling especially as it applies to “big data” (data warehousing, data integration, archiving, scalable analysis solutions etc.)

5. Contribute to and help implement an infrastructure that enables the TM real-time/digital device vision in close collaboration with NIBR/Development IT

6. Independently seek out new sources of data that could be leveraged for TM/BMD needs

Key Performance Indicators

- Contribute to clinical project progression and decision making; ensure timely delivery of key project related milestones

- Identification, prioritisation and development of innovative analytical methods to address unmet clinical needs

- Contribute to best practice for data extraction, integration and analysis

- Help identify new projects and setting up new collaborations, both internal and external, and designing and implementing new solutions and analytics

- Adopt and use QSI Informatics applications across different line functions and across NIBR (spreading knowledge)

- Enable knowledge-spread and cross-training within QSI
Minimum requirements - PhD, or equivalent, in biostatistics, bioinformatics, computer science, data science or discipline requiring intense data analysis

- Fluent/Business-level English

- 2+ years of relevant professional experience (medical informatics, clinical informatics or other forms of informatics)

- Demonstrable experience in clinical practice

- Demonstrable experience working with mobile digital devices

- Deep experience in one of more of: Exploratory Data Analysis techniques, Timeseries analysis and Machine Learning, visualization of complex/large datasets

- Deep expertise in R, unix, python

- Strong interpersonal and communications skills and ability to represent the group within NIBR and throughout the wider scientific community

- Good organizational, presentation and project management skills; ability to work under pressure and meet timelines

- Effective team member in a matrixed international team environment.

Highly desirable

- Deep expertise in one or more of the following: unix, python, version control (Git/SVN)

- Proficiency with: distributed and high performance computing, data visualization, data engineering, pipelining and wrangling tools

- Knowledge of data management approaches e.g. relational databases, object stores, column stores, triple stores, graph stores, document stores desired