At a Glance
- Tasks: Join our Data Science team to develop data models and support R&D activities.
- Company: MeiraGTx, a pioneering gene therapy company with a global impact.
- Benefits: Gain hands-on experience in a cutting-edge field with potential career growth.
- Other info: Collaborative environment with opportunities to learn from industry experts.
- Why this job: Make a real difference in healthcare by working on innovative gene therapy projects.
- Qualifications: BS/MS in Data Science or related field; Python and SQL skills required.
The predicted salary is between 54000 - 66000 £ per year.
Your mission
As part of the Data Science team, the Scientific Data Engineer will divide their time between digitalization and data analysis.
The candidate will develop and maintain the R&D department’s data model, data pipelines and dashboarding to support R&D activities.
These span a wide range of areas including electronic lab notebook templatization and integrations, data capture and storage, results processing, dashboarding, and statistical analysis activities.
They will also share responsibility with the wider Data Science team for providing technical support to scientists across these areas.
Job Description
- Major Activities
- Write well-documented and well-tested ELN templates that follow company best practices.
- Develop tools to maintain and ensure data integrity throughout the data lifecycle.
- Develop SQL queries to improve data accessibility for operational and scientific user-groups.
- Implement dashboards to improve data accessibility across the R&D organisation.
- Perform data mining, data exploration and feature generation to bring proof of concept AI/ML / statistical / mechanistic / hybrid modelling in collaboration with data scientists and bench scientists.
- Serve as part of the technical support team for software utilised by R&D staff.
- Train end-users on adequate use of tools released for general use.
- Produce rigorous documentation of all software development processes.
- Maintain up-to-date knowledge on state-of-the-art data analysis practices applicable to life sciences R&D.
- Key Performance Indicators
- Accurately and effectively translate user requirements into successful ELN templates and data pipelines.
- Timely prioritisation and resolution of user- reported bugs / requested enhancements.
- Working on multiple unrelated projects concurrently while adhering to agreed timelines.
- Key Job Competencies
- Problem Solving - Identifies and resolves problems in a timely manner; gathers and analyzes information skilfully; develops alternative solutions; works well in group problem solving situations; uses reason even when dealing with emotional topics.
- Motivation - sets and achieves challenging goals; demonstrates persistence and overcomes obstacles; measures self against standard of excellence.
- Planning/Organizing - prioritizes and plans work activities; uses time efficiently; plans for additional resources; sets goals and objectives; organizes or schedules other people and their tasks; develops realistic action plans.
- Professionalism - works well under pressure; treats others with respect and consideration regardless of their status or position; accepts responsibility for own actions; follows through on commitments.
- Innovation - displays original thinking and creativity; meets challenges with resourcefulness; generates suggestions for improving work; develops innovative approaches and ideas.
- Oral Communication - speak clearly and persuasively in positive or negative situations; listens and gets clarification; responds well to questions; demonstrates good presentation skills; participates effectively in meetings.
- Written Communication - writes clearly and informatively; edits work for spelling and grammar; varies writing style to meet needs; presents numerical data effectively.
- Job Responsibilities
No direct reports.
Job Background
Essential
- BS/MS degree in Data Science/Data Analysis/Bioprocess Engineering or related discipline
- Understanding of bioprocessing and/or experience working with bioprocess development data
- Advanced knowledge of Python and SQL.
- Desired
- Previous industrial experience in pharma ELN maintenance (can include internships/placements).
- Software / Database / Bioprocess model development experience.
- Knowledge of dashboarding tools such as Tableau, Spotfire and Power BI.
About us
Meira GTx is a clinical-stage gene therapy company focused on developing potentially curative treatments for patients living with serious diseases.
We currently have six programs in clinical development including three ocular indications, a salivary gland condition, and a Parkinson’s disease program.
Our initial focus on diseases of the eye, salivary gland and central nervous system is based on the significant unmet medical need coupled with the high potential gene therapy has to provide meaningful clinical benefit in these areas.
With headquarters in New York and London, our global footprint provides us the opportunity to partner with leading institutions around the world, allowing us to deepen our understanding of diseases and their progression.
Our team was built with deep expertise in gene therapy development, allowing us to efficiently advance our programs from preclinical to clinical development.
Our core capabilities in viral vector design and optimization and gene therapy manufacturing give us a differentiated approach to developing gene therapies.
Additionally, we are developing proprietary technology to potentially enable innovative gene therapy treatments whose expression can be turned on and off with an easily administered small molecule.
We believe temporal control of gene therapy products has the potential to transform the gene therapy landscape.
Our state-of-the-art manufacturing facility, completed in early 2018, was designed to meet global regulatory requirements, including the current good manufacturing practices (c GMP) required by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK and the U.
Food and Drug Administration (FDA).
The 29,000-square foot facility has the flexibility and capacity to produce sufficient product for all our clinical trials and will scale to commercial capacity.
Scientific Data Engineer, 12-month FTC in London employer: MeiraGTx
As an innovative biotechnology company, we pride ourselves on fostering a collaborative and dynamic work culture that empowers our employees to make a real impact in the lives of patients. Our Finance Intern position offers a unique opportunity to gain hands-on experience while working alongside seasoned professionals in a supportive environment that encourages personal and professional growth. With a focus on meaningful projects and cross-functional collaboration, this internship is perfect for those looking to develop their skills in a fast-paced, mission-driven setting.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Data Engineer, 12-month FTC in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like MeiraGTx before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like MeiraGTx.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like MeiraGTx.
We think you need these skills to ace Scientific Data Engineer, 12-month FTC in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at MeiraGTx, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to MeiraGTx, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab MeiraGTx’s attention and show the tangible impact of your work.
How to prepare for a job interview at MeiraGTx
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at MeiraGTx.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at MeiraGTx.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at MeiraGTx.
