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For Companies At a Glance
- Tasks: Lead advanced analyses and create predictive models for clinical trial data.
- Company: Join a collaborative Informatics team at Medpace, supporting pharmaceutical development.
- Benefits: Enjoy opportunities for growth, training, and innovative projects in a dynamic environment.
- Why this job: Make an impact with data while working alongside talented professionals in a supportive culture.
- Qualifications: Master's degree in informatics or related field; PhD preferred; strong programming skills in R.
- Other info: Work with teams in Cincinnati and London, contributing to exciting data-driven projects.
The predicted salary is between 48000 - 72000 £ per year.
Job Summary
We are currently seeking an experienced informaticist to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, support team growth, and foster fellow analyst development.
The Informatics Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side with business analytics and software engineering to architect innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics, or epidemiology, please review the following career opportunity.
Responsibilities
- Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data;
- Develop dashboards and web applications to enable Medpace teams’ access to, and interpretation of, clinical operations data;
- Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy for proposals and bid defense meetings;
- Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams;
- Develop and map database architecture of methodological and clinical data systems;
- Support departmental process improvement initiatives;
- Participate in training and development of more junior team members.
Qualifications
- Master’s degree in informatics, computer science/engineering, health information, statistics, or related field required; PhD preferred;
- Advanced computer programming skills (preferred language: R);
- Analytical thinker with great attention to detail;
- Ability to prioritize multiple projects and tasks within tight timelines;
- Excellent written and verbal communication skills;
- Participate in training and development of more junior team members.
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Senior Informatician employer: Medpace
Contact Detail:
Medpace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Informatician
✨Tip Number 1
Familiarise yourself with the latest trends in informatics and data science. Being well-versed in current methodologies and technologies will not only boost your confidence but also demonstrate your commitment to the field during discussions.
✨Tip Number 2
Network with professionals in the informatics community, especially those who work in clinical trials or pharmaceutical development. Attend relevant conferences or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully developed predictive models or visualisations. Highlighting your hands-on experience will help you stand out as a candidate who can contribute immediately to our team.
✨Tip Number 4
Showcase your collaborative skills by discussing how you've worked with cross-functional teams in the past. Emphasising your ability to communicate effectively with both technical and non-technical stakeholders will be key in this role.
We think you need these skills to ace Senior Informatician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in informatics, data science, and statistics. Emphasise any advanced statistical methods you've used and programming skills, particularly in R, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about informatics and how your background aligns with the responsibilities outlined in the job description. Mention specific projects where you've developed predictive algorithms or created data visualisations.
Showcase Collaboration Skills: Since the Informatics team values collaboration, include examples of how you've worked effectively in teams, especially in cross-functional settings. Highlight any experience mentoring junior team members, as this is a key aspect of the role.
Proofread Your Application: Before submitting, carefully proofread your application materials to ensure there are no typos or grammatical errors. Clear and concise communication is essential, so make sure your writing reflects that.
How to prepare for a job interview at Medpace
✨Showcase Your Technical Skills
As a Senior Informatician, you'll need to demonstrate your advanced programming skills, particularly in R. Be prepared to discuss specific projects where you've applied these skills, and consider bringing examples of your work or visualisations to the interview.
✨Highlight Collaborative Experiences
The Informatics team values collaboration across different offices. Share experiences where you've worked effectively in a team, especially in cross-functional settings. This will show that you can thrive in their collaborative environment.
✨Prepare for Data Analysis Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Be ready to explain your approach to developing predictive algorithms and how you ensure high-quality data analysis. Use specific examples from your past work to illustrate your methods.
✨Communicate Clearly and Effectively
Excellent communication skills are crucial for this role. Practice explaining complex data concepts in simple terms, as you may need to present findings to non-technical stakeholders. Clear communication will demonstrate your ability to translate data into actionable insights.
