Postdoc: ML Research Fellow in Dystonia & Neuroimaging

Postdoc: ML Research Fellow in Dystonia & Neuroimaging

Full-Time 31500 - 38500 £ / year (est.) No working from home possible
Mass General Brigham

At a Glance

  • Tasks: Develop machine-learning algorithms for diagnosing dystonia and predicting treatment outcomes.
  • Company: Join the renowned Mass Eye and Ear Infirmary, part of Mass General Brigham.
  • Benefits: Collaborative environment with access to cutting-edge research and professional growth.
  • Other info: Work alongside leading neuroscientists and clinicians in a dynamic research setting.
  • Why this job: Make a real difference in patient care through innovative neuroimaging research.
  • Qualifications: PhD in computer science or related field with machine-learning expertise.

The predicted salary is between 31500 - 38500 £ per year.

Mass Eye and Ear Infirmary, part of Mass General Brigham, seeks a computer science/machine-learning postdoctoral fellow to develop algorithms for automatic dystonia diagnosis, risk prediction, and treatment outcomes. The role spans brain MRI data from dystonia patients, other movement disorders, and healthy individuals.

The fellow will join neuroscientists, neurologists, laryngologists, and geneticists at Mass Eye and Ear and Mass General Hospital, translating research into clinical settings.

Postdoc: ML Research Fellow in Dystonia & Neuroimaging employer: Mass General Brigham

Mass General Brigham offers a supportive and dynamic work environment at Newton-Wellesley Hospital, where employees are encouraged to grow both personally and professionally. With a strong emphasis on teamwork and patient care, the hospital provides comprehensive training and development opportunities, ensuring that Medical Assistants can thrive in their roles while making a meaningful impact in the community. The culture prioritises collaboration and respect, making it an excellent place for those looking to advance their careers in healthcare.

Mass General Brigham

Contact Details:

Mass General Brigham Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Postdoc: ML Research Fellow in Dystonia & Neuroimaging

Get Involved in Local Research Communities

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We think you need these skills to ace Postdoc: ML Research Fellow in Dystonia & Neuroimaging

Machine Learning
Algorithm Development
MRI Data Analysis
Dystonia Diagnosis
Risk Prediction
Treatment Outcomes Assessment
Collaboration with Neuroscientists

Some tips for your application 🫡

Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Mass General Brigham that you have the hands-on skills they need.

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Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Mass General Brigham does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.

Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.

How to prepare for a job interview at Mass General Brigham

Brush Up on Lab Techniques

Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Mass General Brigham. You might even be asked to demonstrate your understanding of these processes.

Know Your Bioinformatics Tools

Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.

Show Your Teamwork Skills

Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Mass General Brigham's culture.

Research Recent Biotech Innovations

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