Auf einen Blick
- Aufgaben: Join our team as a Clinical Data Scientist, working on clinical trials and data solutions.
- Arbeitgeber: We're a global company founded in 1995, dedicated to improving lives through medical science.
- Mitarbeitervorteile: Enjoy flexible hours, competitive salary, and a supportive team with great perks like insurance and sports cards.
- Warum dieser Job: Make an impact in healthcare while growing your skills in a collaborative and innovative environment.
- Gewünschte Qualifikationen: Must have a degree in Data Science or equivalent experience, plus 5 years in Data Management.
- Andere Informationen: Quick recruitment process with extensive onboarding and mentorship for your success.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
We are the company that cares – for our staff, for our clients, for our partners and for the quality of the work we do. A dynamic, global company founded in 1995, we bring together more than 2,700 driven, dedicated and passionate individuals. We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them.
Job Description
Reporting to the Clinical Data Science Manager, the Clinical Data Scientist is an integral part of our team here at PSI. You will work with clinical trials patient and operational data, develop new data solutions and set up Risk-based Monitoring systems in Process Improvement department.
- Participate in selection of the Risk-Based Monitoring (RBM) system and provide relevant training to the project team and/or Sponsor
- Set up and maintain RBM systems, collaborating with the Central Monitoring Manager
- Manage complex datasets from multiple sources, including data extraction, transformation, and loading into PSI data platform
- Program and produce data listings, tables, and figures for Clinical Data Reviewers and Central Monitoring Managers
- Calculate Key Risk Indicators and Quality Tolerance Limits, applying advanced analytical techniques to identify data trends for Centralized Monitoring
- Collaborate cross-functionally to identify study challenges and develop data solutions using advanced analytics
- Communicate data findings and solutions to stakeholders effectively
- Contribute to the development of databases, software products, processes, and Quality System Documents for Centralized Monitoring
Qualifications
Must have:
- Degree in Data Science, Mathematics, Statistics, Computer Science or equivalent; or relevant work experience and professional qualifications
- At least 5 years of experience in Data Management, Biostatistics, and Centralized Monitoring
- At least 4 years of experience in one or more of the following: R, R Shiny, SAS, SQL and associated packages and libraries
- At least 2 years of experience in data engineering area including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling, testing, validation and analysis
- Full professional proficiency in English
- Strong analytical and logical thinking
- Communication and collaboration skills
Nice to have:
- Communicative German
- Experience with CluePoints RBM system
- Knowledge of statistical methods and techniques for analyzing data
- Experience with using Machine Learning techniques and products testing and validation
Additional Information
What we offer:
- We value your time so the recruitment process is as quick as 3 meetings
- We\’ll prepare you to do your job at the highest quality level with our extensive onboarding and mentorship program
- You\’ll have excellent working conditions – spacious and modern office in a convenient location, and friendly, supportive team who love to hang out together
- You\’ll have a permanent work agreement at a stable, privately owned company
- We care about our employees – aside from competitive salary, you\’ll have good work-life balance with flexible working hours and additional days off, life and medical insurance, sports card, lunch card
- We\’re constantly growing which means opportunities for personal and professional growth
Make the right call and take your career to a whole new level. Join the company that focuses on its people and invests in their professional development and success.
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Clinical Data Scientist Arbeitgeber: Psi CRO Ag
Kontaktperson:
Psi CRO Ag HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Clinical Data Scientist
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as R, SAS, and SQL. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience in data management and biostatistics during networking opportunities. Engaging with professionals in the field can lead to valuable insights and potential referrals for the Clinical Data Scientist position.
✨Tip Number 3
Prepare to discuss your experience with Risk-Based Monitoring systems in detail. Be ready to share examples of how you've implemented or improved these systems in past roles, as this is a key responsibility of the position.
✨Tip Number 4
Showcase your communication and collaboration skills by preparing examples of successful cross-functional projects. Being able to effectively communicate data findings to stakeholders is crucial for this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Clinical Data Scientist
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Clinical Data Scientist position. Understand the key responsibilities and qualifications required, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in data management, biostatistics, and centralized monitoring. Make sure to include specific examples of your work with R, SAS, SQL, or any other relevant tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your passion for clinical data science and your desire to contribute to the company's mission. Mention any experience you have with risk-based monitoring systems or advanced analytics.
Highlight Communication Skills: Since the role requires effective communication with stakeholders, be sure to provide examples in your application that demonstrate your ability to communicate complex data findings clearly and collaborate cross-functionally.
Wie du dich auf ein Vorstellungsgespräch bei Psi CRO Ag vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with R, SAS, SQL, and any other relevant tools. Highlight specific projects where you utilized these skills, especially in data management and biostatistics.
✨Demonstrate Analytical Thinking
Prepare examples that showcase your analytical and logical thinking abilities. Discuss how you've identified data trends or solved complex problems in previous roles, particularly in a clinical trial context.
✨Communicate Effectively
Since communication is key in this role, practice explaining complex data findings in simple terms. Be ready to discuss how you've collaborated with cross-functional teams and communicated insights to stakeholders.
✨Understand Risk-Based Monitoring
Familiarize yourself with Risk-Based Monitoring systems, especially if you have experience with CluePoints. Be ready to discuss how you would set up and maintain these systems and provide training to project teams.