Research Associate

2 weeks ago


Cardiff, United Kingdom Cardiff University Full time

**Job Purpose**

To conduct research within the molecular mechanisms driving phenoconversion to Parkinson's disease and develop computational/machine learning approaches. We will merge clinical data, electronic medical records, and diverse molecular data sources generated here, using genetics as a bridge between different types of datasets and contribute to the overall research performance of the School and University, carrying out research leading to the publishing of high-quality research. To pursue excellence in research and to inspire others to do the same**Duties and Responsibilities**

**Research**
- To conduct research within new computational statistical approaches capable of identifying the molecular mechanisms underlying a diagnosis of Parkinson's Disease and contribute to the overall research performance of the School and University by the production of measurable outputs including bidding for funding, publishing in national academic journals and conferences, and the recruitment and supervision of postgraduate research students.
- To work with different data modalities from deeply phenotyped cohorts (neuroimaging, CSF, digital), EHR (digital markers) an molecular datasets (single cell from blood/iPSC/postmortem).
- To integrate these various datasets using genetics as a bridge.
- To develop research objectives and proposals for own or joint research including research funding proposals.
- To attend and or present at conferences/seminars at a local and national level as required.
- To undertake administrative tasks associated with the research project, including the planning and organisation of the project and the implementation of procedures required to ensure accurate and timely reporting.
- To review and synthesise existing research literature within the field.
- To participate in School research activities.
- To build and create networks both internally and externally to the university, to influence decisions, explore future research requirements, and share research ideas for the benefit of research projects.

**Other**
- To engage effectively with industrial, commercial and public sector organisations, professional institutions, other academic institutions etc., regionally and nationally to raise awareness of the School’s profile, to cultivate strategically valuable alliances, and to pursue opportunities for collaboration across a range of activities. These activities are expected to contribute to the School and the enhancement of its regional and national profile.
- To undergo personal and professional development that is appropriate to and which will enhance performance.
- To participate in School administration and activities to promote the School and its work to the wider University and the outside world.
- Any other duties not included above, but consistent with the role.

**Person Specification**

**Essential Criteria**

Qualifications and EducationKnowledge, Skills and Experience
- An established expertise and proven portfolio of research and/or relevant industrial experience within the following research fields:

- Computational biology, Bioinformatics or machine learning, or statistics
- Preference applied to medical problems

3. Knowledge of current status of research in specialist field in Computational biology, Bioinformatics or machine learning, or statistics specifically in the field of dementia.
- 4. Experience in using R, UNIX/Linux, Perl (or Python) scripting and in the manipulation and analysis of large biological and medical datasets in different data formats.
- 5. Proven ability to publish in national journals.
- 6. Proven ability to be successful in competitive research funding.
- Communication and Team Working
- Proven ability in effective and persuasive communication.
- Ability to supervise the work of others to focus team efforts and motivate individuals.

Other
- Proven ability to demonstrate creativity, innovation and team-working within work.
- Proven ability to work without close supervision.

**Desirable Criteria**
- Relevant professional qualification(s)
- e.g. MSc/PhD/diploma/certificate.
- Proven ability to adapt to the changing requirements of the Higher Education community.
- Evidence of ability to participate in and develop both internal and external networks and utilise them to enhance the research activities of the School.

**Additional Information**

**IMPORTANT: Evidencing Criteria**- ** 17284BR**

**Salary Range Min.**
- 39,347

**Salary Range Max.**
- 44,263

**Job Category**
- Academic - Research

**Grade**
- Grade 6


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