US_Clinical Data Scientist

Key Skills

Data science techniques, Data Visualization, Management, SAS, SQL, Statistics, Transformer

Job Description

The Principal Solutions Engineer, Data Analytics will contribute to full stack Data Analytics software configurations for global and regional Data Analytics Product Groups. This role will establish proficiency in Data Analytics Computer Science supporting pharmaceutical and bio-pharmaceutical data sciences/advanced analytics. As directed by Global Manufacturing Science and Technology Data Analytics leadership, the incumbent contributes to global efforts by supporting, developing, and maintaining tools and software solutions key to enabling statistical modeling, visualization, reporting, and interpretation of results. Contribute to the execution of Quality Risk Assurance based data integrity and validation reports with appropriate business acumen for stakeholder interpretations and qualifications.

The Principal Solutions Engineer, Data Analytics will help provide analysis-ready batch contextualized vector and attribute data engineering to statisticians and data scientists for applications of generalized linear modeling, time-series multivariate statistics including Principal Components Analysis and Partial Least Squares, QC test method validations, ANOVA/means comparisons, and univariate and multivariate Statistical Process Control (SPC) methodologies.

Requirements

• Bachelor’s Degree in Computer Science, Information Science, Information Technology, Database Design and Implementation, or related field.
• In addition to relevant Bachelor's Degree, a minimum of seven (7) years applied computer science/data analytics experience in manufacturing industry, pharmaceutical, bio-pharmaceutical or related organization.
• OR
• Relevant Master's Degree and a minimum of four (4) years applied computer science/data analytics in manufacturing industry, pharmaceutical, bio-pharmaceutical or related organization.
• Previous experience directly in pharma and life science full stack architecture and data management is a prioritized preference.
• Expertise in computer science disciplines related to pharmaceutical/biological life science industry is highly preferred.
• Academic and Demonstrated Knowledge of C#, SQL, Graph, GO, Javascript, NoSQL,
• Recommended software experience: OSIsoft PI, PI AF, Libre, ETL Data Warehouse Design and Implementation, Grafana, SIMCA, SIMCA-online, SAS JMP, Visual Studio, MS DB Mgmt Studio, MongoDB, PostgreSQL, Kubernetes, RedHat OpenShift.
• Desired Proficiency: R, Python, Rust, Swift.
• Knowledge of mathematics and computer science theory and application of statistical methodologies relative to process performance analytics and data sciences preferred.
• Ability to perform tasks typically expected of a Data Engineer.
• Ability to convey analytical thinking as well as business acumen and technical knowledge.
• Ability to work effectively as part of a team and manage project(s) from a data management perspective.

Duties & Responsibilities

• Executes the duties of data management and software configurations for complex pharmaceutical batch analytics.

Job Duties: Responsible for transforming, analyzing and reporting phase I-IV clinical trials and/or other data from research and development like registries and real-world data bases with respect to a specific use case or project/asset. Present compelling validated stories regarding data science aspects to Biostatistics Data Science (BDS) colleagues. Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. Support colleagues on data science related tasks. Participate in cross-functional BDS internal working-groups and drive/plan relevant data science aspects. Understand, and implement international regulations and guidelines for good clinical and statistical practice from all ICH regions, the various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g., Clinical Development Plan). Understand complex problems within clinical research and development, taking into account needs and requirements of other units and departments. Keep abreast of data science and in particular new transformation and analyzing solutions and innovative processes/tools within BI.

Job Requirements: Bachelor’s degree (US or foreign equivalent) in Statistics, Data Science, Math, Computer Science, Information Technology, Technology Management, or a related field and three (3) years of experience in the job offered or in a related role. Must have three (3) years of experience with: planning, transforming, analyzing, interpreting, and reporting data in clinical trials or data from other sources in clinical research and development; and performing quality control steps throughout the Program Development Life Cycle (including final report). Must have two (2) years of experience with: utilizing Clinical Data standards such as CDISC – SDTM & ADaM, WHO & MedDRA; statistical concepts in support of analyses and reporting of clinical trials; working as a lead programmer on multiple projects across various therapeutic areas; and the oncology therapeutic area clinical data analysis with the knowledge of RECIST 1.1 criteria for solid tumor. Must have one (1) year of experience with: SAS macro language, SAS SQL, and SAS Stat; Pooled Analysis such as Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE); working and reviewing submission packages, which includes define.xml, SDTM annotated CRF, and reviewer’s guides; and developing customized interactive visualization reports, dashboards, and charts using data visualization tools. *Telecommuting permitted: Work may be performed within normal commuting distance from the Boehringer Ingelheim Pharmaceuticals, Inc. office in Ridgefield, CT.

Work Schedule: 40 hours per week (8:00am to 5:00pm) 

Our Company

At Boehringer Ingelheim we develop breakthrough therapies that improve the lives of both humans and animals. Founded in 1885 and family-owned ever since, Boehringer Ingelheim takes a long-term perspective. Now, we are powered by 52,000 employees globally who nurture a diverse, collaborative and inclusive culture. We believe that if we have talented and ambitious people who are passionate about innovation, there is no limit to what we can achieve.

Why Boehringer Ingelheim?

With us, you can grow, collaborate, innovate and improve lives.

We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices. In addition, learning and development for all employees is key, because your growth is our growth.

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients and communities.

Want to learn more? visit https://www.boehringer-ingelheim.com