Statistical Data Engineer
A major global pharmaceutical organisation based in Welwyn Garden City, is looking for a data engineer with strong R skills, for a 6-month contract.
The successful candidate will work as a lead programmer responsible for both hands on technical work, as well as oversight of the team’s deliverables. They will be accountable for molecule enabling project deliverables, will lead and work with a team and will collaborate with cross-functional teams and external partners.
Applicants should have experience or knowledge of data handling, analysis techniques and statistical monitoring. Being proficient in programming language R and the creation of varying R packages is essential, further skills in Python, XML, C+, C# are advantageous, as well as leadership and decision-making skills.
R PROGRAMMER: Will use R to create a variety of packages for data manipulation, user interfaces, graphical and statistical applications.
PROVIDE DATA SOLUTIONS: Stay current with and adopt emergent data collection, data management, visualisation and provision tools and applications to ensure fit-for-purpose and impactful approaches. Deliver on solutions as needed.
FUNCTIONAL EXCELLENCE: Collaborate and contribute to functional/cross-functional initiatives or goals to promote new ways of working, including emerging technologies. Enable broader and more effective use of data to support the business.
TECHNICAL CONSULTANT: Offer guidance and advice to peers within the function, to key stakeholders and to FSPs, CRO and collaborative groups on technical solutions to ensure high quality data collection and delivery. Deliver on solutions as needed.
PROJECT MANAGEMENT: Develop risk management strategies and proactively manage time lines to ensure successful oversight and delivery of projects, including the implementation and adoption of new technologies.
STAKEHOLDER MANAGEMENT: Proactively engage with stakeholders across the business to understand their needs and influence their understanding of decisions made in our function. Inform stakeholders of status of key deliverables and act on changing milestones.
DATA COLLECTION AND ACQUISITION: Act as experts for data collection, advising teams and stakeholders on best practices and proposing innovative solutions. Ensure a high quality of data and compliance with applicable pharma industry regulations and standards.
DATA QUALITY REVIEW: Use data surveillance tools and strategies to provide aggregate level reviews designed to identify patterns or anomalies in our data to ensure high quality results.
DATA CURATION: Organisation and integration of data collected from various sources. Maintain value of data through application of FAIR (Findable, Accessible, Interoperable, Reusable) principles.
SUPPORT ANALYSES: Partner with stakeholders to understand their data insight needs and offer Data Management solutions. Demonstrate a strong understanding of the data flow from collection through to analysis and filing.
The Clinical Data Management Technical Leadership (CDM TL) organisation is leading the evolution of CDM through the development and support of fit-for-purpose business processes and systems by being forward-looking and identifying emerging opportunities. They are an agile organisation that brings together great people who are passionate about technology innovation and supporting the business need to acquire and curate data for use in exploratory research, clinical development and evidence generation.
*BSc or MSc in Life Sciences, Data/Computer Science, Bioinformatics OR equivalent industry experience.
*Demonstrated strong collaboration and excellent communication skills – both written and oral (proficiency in English required).
*Knowledge of CDISC data standards.
*Knowledge of ICH-GCP and working in regulated environments.
*Project Management skills.
*Able to manage multiple requests and priorities.
*Experience in leading the collection of clinical trial and/or Real-World Data
*Good understanding of molecule and disease area strategies, healthcare environments, as well as strong scientific and technical expertise.
*Fluency in programming language R (additional Python, XML, C+, C#, SAS, SQL etc.).
*Experience producing interactive outputs (e.g. Shiny, Tableau).
Preferred Additional Qualifications
*Experience with SDTM implementation
*Experience in enterprise level operating systems and familiarity with databases (Relational Database Management System, RDBMS).
*Some experience with advanced analytics approaches (e.g. machine learning, AI).
*Experience with tools related to technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.).
*Experience implementing reproducible research practices like version control (e.g., using Git, Rmarkdown) and literate programmer.
If you are interested, please contact me via phone on +44 121 6163 404 for more information or contact me via e-mail: email@example.com
We regularly have similar roles in this area. Please see the website for details or send your CV in, to find out the latest opportunities.
Job Reference: SD/SDE/WGC_1590962836
Broadcast As: 155248
Salary To: Negotiable
Job Type: Full Time
Job Term: Contract
Job Industry: Pharmaceutical
Recruitment Consultant: Sophia Dreier