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Band 5 Data Science Research Assistant - The Barberry

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Birmingham and Solihull Mental Health NHS Foundation Trust

1mo ago

  • Job
    Full-time
    Entry & Junior Level
  • Research & Development
    Healthcare
  • Birmingham

AI generated summary

  • You should have strong statistical analysis skills, experience with large datasets, an interest in mental health research, and familiarity with data science. Strong interpersonal skills are essential.
  • You will design and test an algorithm for TRD patients, analyze data, facilitate workshops, manage participant data, prepare reports, and assist with grant applications and research tasks.

Requirements

  • The ideal candidate will have a strong background in statistical analysis
  • Experience in cleaning and maintaining large datasets
  • An interest in mental health research
  • Familiarity with data science, particularly machine learning and/or NLP would be advantageous
  • Strong interpersonal skills
  • Ability to work both independently and collaborate with individuals from diverse backgrounds
  • Commitment to seek input from service users

Responsibilities

  • Work closely with the Research Fellow (Dr Rebekah Amos) and other collaborators to design, refine, and test an algorithm that identifies TRD patients, using electronic healthcare records and NLP.
  • Conduct and support quantitative data analysis, focusing on psychometric testing and statistical techniques. Strong expertise in handling large datasets is essential.
  • Facilitate workshops with individuals who have lived experience of TRD, integrating their feedback into the algorithm’s development to improve patient outcomes.
  • Liaise with stakeholders across sites, ensuring smooth communication, troubleshooting issues, and contributing to future iterations of the algorithm.
  • Ensure secure storage and management of participant data in compliance with Trust policies and ethical guidelines.
  • Assist with the preparation of reports, presentations, and research papers for dissemination within the Trust and the broader healthcare community.
  • Stay up to date with relevant research developments in data science, mental health, and machine learning, bringing new insights to the project.
  • Contribute to the preparation of future research grant applications and assist with research administration tasks as needed.

FAQs

What is the primary focus of this research role?

The primary focus of this research role is to help build and test an algorithm that identifies patients with treatment resistant depression (TRD) using electronic health records.

What qualifications are required for this position?

The ideal candidate should have a strong background in statistical analysis, experience in cleaning and maintaining large datasets, and an interest in mental health research. Familiarity with data science, particularly machine learning and/or natural language processing (NLP) is advantageous.

Will I be working independently or as part of a team?

You will be working closely with the Research Fellow, Dr. Rebekah Amos, and other collaborators, so both independent work and collaboration with a diverse range of individuals will be required.

How will patient feedback be integrated into the research?

You will facilitate workshops with individuals who have lived experience of TRD to gather their feedback, which will then be integrated into the algorithm's development to improve patient outcomes.

What opportunities are available for career progression?

The role offers opportunities for career progression, including the chance to contribute to scientific publications and gain experience in research administration and grant applications.

Is this position aligned with any specific governmental initiatives?

Yes, this research assistant position is aligned with the Mental Health Mission, which is an ambitious government initiative aimed at improving mental health treatment and infrastructure.

How will participant data be managed?

You will ensure secure storage and management of participant data in compliance with Trust policies and ethical guidelines.

Who can I contact for more information about this job?

For further details or informal visits, you can contact Dr. Rebekah Amos at rebekah.amos1@nhs.net or call 0121 301 2002.

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Birmingham and Solihull Mental Health NHS Foundation Trust

Our vision is simple: improving mental health wellbeing.

Science & Healthcare
Industry
1001-5000
Employees

Mission & Purpose

Birmingham and Solihull Mental Health Foundation Trust (BSMHFT) is proud to provide inpatient, community and specialist mental health care for over 71,000 people across Birmingham and Solihull and the West Midlands. Our services include rehabilitation, addiction, secure care, home treatment, assertive outreach, early intervention, place of safety and wellbeing. We also manage the delivery of mental health care in HMP Birmingham. With 5,300 staff working across 40 sites - and serving a culturally and socially diverse population of 1.3 million people – we are one of the biggest and most complex mental health trusts in the country.