Data Scientist

Key Skills

Big Data Technology, Biostatistics, CSS, Data blending, Data Modelling, Data Visualization, Data Wrangling, ETL/ELT technologies, Google Cloud Platform (GCP), HTML, JavaScript, Oracle, PowerBI, Python Programming, R Programming, R-Shiny, SAS, Spotfire, SQL, Statistical modeling, Tableau

Job Description

When you join ALTEN Technology USA, you join a group of people passionate about collaborating to solve some of the world’s most technical engineering challenges. Our success is tied to taking care of our employees by building relationships and providing opportunities for mentorship and career growth. We offer comprehensive benefits for all full-time employees, including medical, dental, and vision insurance; a 401(k) plan with employer matching; paid time off (PTO); paid parental leave; and mentorship to help you take your career to the next level. You don’t have to take our word for it that we’re a great place to work—we were named on the 2023 Top Workplaces list thanks to feedback from our proud employees.

Position Summary:

The candidate will be a critical development and support resource using analytics to deliver integrated reporting and analytic services. Candidate will build visualizations dashboard for Medical Monitoring, Clinical Science, Pharmacovigilance and Sample management using Spotfire, Tableau, Power BI, Python, SAS and/or RShiny. Additionally, Candidate will help Biometrics department with developing SAS macros for department standards and complex analyses.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• Work with global analytics groups, project management, and user groups to define requirements, architect visualization systems and implement solutions to user requirements. Develop and support analytics best practices and troubleshoot complex challenges.
• Develop re-usable reports and visualizations, re-usable data sets, and analytic integrations, working with customers, internal teams, and data scientists where required.
• Develop training materials and lead training sessions for users of varying roles on use of analytical platforms.
• Develop SQL based or Python based ETL tools to connect external data sources with Sanofi database.
• Work with internal technology teams to optimize analytics platforms and Big data environments to support the reporting and analytics solutions.
• Perform statistical analyses and SAS programming to create complex macros for data processing, SDTM like datasets, ADAM like datasets and TLFs.
• Experience in reviewing CRFs, SAPs, output mock shells and Protocols from a programming perspective.
• Ensures that Statistical Programming activities are conducted in accordance with GCP, internal SOPs and all regulatory requirements.
• Replicate CRO statistical analyses for QC.

Education/Experience

• Bachelor’s Degree in Informatics, Information Systems, Engineering or related field with 6+ years’ relevant experience
• Prior experience in completing a full computerized systems validation and testing methodology with awareness of the risks, issues, complications, and activities involved in these processes.
• Prior experience with R analytics, Spotfire, Tableau, Power BI or any combination. Preference for expertise in more than one platform.

Qualifications: The requirements listed below are representative of the knowledge, skills, and/or abilities required. 

• Extensive knowledge on technologies and trends related to Research and Development including big data, advanced analytics, and Internet of Things.
• Proven specialist knowledge of Pharma development process e.g. Regulatory Affairs, Bio Statistics, Drug Safety, Clinical Operations.
• Versed in several popular analytics platforms, including server administration, configuration, and troubleshooting.
• Advanced Oracle SQL, Data Visualization, Modelling and Wrangling skills using analytics platforms are required.
• Prior experience integrating python/CSS/HTML, JavaScript and developing integrated data solutions to support high performance reporting and analytics.
• Advanced SAS, SQL and Data Blending Skills preferred.
• Good knowledge of CDISC standards including CDASH, SDTM, ADAM, ERT-DDS etc.
• Advanced knowledge of SAS Macros.