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- Tasks: Analyse and manage complex scientific datasets using Python and SQL.
- Company: Join the renowned Mary Lyon Centre, a leader in genetics research.
- Benefits: Enjoy 30 days annual leave, pension scheme, and free parking.
- Why this job: Make a real impact in cutting-edge biological research while developing your skills.
- Qualifications: PhD or MSc in life sciences and experience with scientific datasets required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 39375 - 41843 £ per year.
MRC – Mary Lyon Centre – MRC Harwell
Location: Oxfordshire, Hybrid
Salary: £39,375 to £41,843 per annum, dependent on skills and experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th June 2024
Closes: 21st July 2024
Job Ref: MLC 2436
About Us
The Mary Lyon Centre at MRC Harwell (MLC) is located in an expanding science and innovation park in Oxfordshire and is an internationally renowned centre at the forefront of genetics research.
About the Role
We are seeking a Scientific Data Analyst to join our data management team at the MLC. This role provides an exciting opportunity to apply knowledge of in-vivo biological data and develop skills in data management.
Key Responsibilities
- Utilize existing data management pipelines for comprehensive validation of complex scientific datasets.
- Develop and maintain data analysis pipelines for various biological datasets using Python, SQL, and database management tools.
- Collaborate with animal technicians and researchers to determine steps necessary for data validation.
- Identify, review, investigate, and resolve issues within in-vivo datasets.
- Manage and maintain database tables and relationships within the database.
- Work daily with the data management team to discuss technical issues and inform key stakeholders about plans and solutions.
- Communicate effectively within the team and with stakeholders regarding data, data issues, and processes.
- Structure communication with both technical and non-technical teams to diagnose data issues and ensure systematic logging of information.
- Support and mentor junior team members.
- Collaborate with software developers to standardize and automate data upload and validation processes.
- Ensure data validation is completed according to schedule, prioritizing work to maintain timelines.
- Contribute to data standards, documentation, protocols, and Gitlab repositories.
- Expand knowledge of in-vivo measurements as MLC innovates and integrates new datasets, such as telemetry and video-tracking data.
Person Requirements
Education/Qualifications/Training
- Essential: Qualification in the life sciences (PhD or MSc) or equivalent experience.
- Desirable: Project management training or qualifications. Training or qualification in relevant technical skills such as coding or database management.
Previous Work Experience
- Essential: Experience managing, validating, and analyzing scientific datasets. Consistency and independence in long-term project work. Experience in decision-making and communicating with teams and stakeholders.
- Desirable: Independent work on a technical project. Experience in building and using technical pipelines for data management.
Knowledge and Experience
- Essential: Advanced understanding of in-vivo experimentation. Technical skills in at least one of the following: coding, SQL, database management, Excel VBA, Tableau/Power BI, or other relevant tools. Ability to understand the complexity of scientific datasets.
- Desirable: Knowledge of data management and analysis concepts. Understanding of data repository architecture and relational database management. Experience with statistical methods such as power calculations and linear mixed-effect models.
Personal Skills/Behaviours/Qualities
- Essential: Strong communication skills. Proactive and self-organized. Capable of working under pressure to meet deadlines. Ability to develop and maintain professional working relationships. Willingness to learn new technical skills as project goals evolve.
Benefits
- 30 days of annual leave per annum, plus 10.5 public holidays and privilege days.
- Defined-benefit pension scheme.
- On-site canteen.
- Free parking.
How to Apply
For full details and to apply, please click the ‘Apply’ button above quoting reference MLC 2436. The closing date for applications is 21st July 2024, but applications will be reviewed on a rolling basis, and we reserve the right to close the advert early.
Full Time Scientific Data Analyst Required at Mary Lyon Centre-Apply now in England employer: jobs pharmaguidelines
Contact Detail:
jobs pharmaguidelines Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Time Scientific Data Analyst Required at Mary Lyon Centre-Apply now in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Mary Lyon Centre on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves Python and SQL, we should be ready to discuss our experience with these tools and even tackle some practical questions.
✨Tip Number 3
Showcase our soft skills! The job requires strong communication and teamwork. We should think of examples where we've successfully collaborated with others or resolved conflicts to highlight our interpersonal abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to match the specific requirements listed in the job description.
We think you need these skills to ace Full Time Scientific Data Analyst Required at Mary Lyon Centre-Apply now in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Scientific Data Analyst role. Highlight your experience with in-vivo biological data and any relevant technical skills like Python or SQL. We want to see how your background fits with what we do at the Mary Lyon Centre!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how your skills can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Communication Skills: Since this role involves collaborating with various teams, make sure to showcase your communication skills in your application. Mention any experiences where you’ve effectively communicated complex data issues to both technical and non-technical audiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just click that ‘Apply’ button and follow the prompts!
How to prepare for a job interview at jobs pharmaguidelines
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the types of in-vivo biological data you'll be working with. Brush up on your knowledge of data management pipelines and be ready to discuss how you've validated complex datasets in the past.
✨Show Off Your Technical Skills
Be prepared to demonstrate your proficiency in Python, SQL, and any database management tools you’ve used. Consider bringing examples of previous projects or code snippets that showcase your ability to develop and maintain data analysis pipelines.
✨Communicate Clearly
Since this role involves collaboration with both technical and non-technical teams, practice explaining complex data issues in simple terms. Think of examples where you successfully communicated with stakeholders about data processes or resolved issues.
✨Highlight Your Team Spirit
The Mary Lyon Centre values teamwork, so be ready to discuss how you’ve supported and mentored junior team members in the past. Share specific instances where you collaborated with others to achieve project goals or improve data validation processes.
