Research Associate in Computational Biology / Bioinformatics

The University of Manchester; Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A prestigious university in Manchester is seeking a candidate for a role focused on big data analysis related to complex cardiovascular diseases. The ideal applicant will hold a degree in computational biology or related fields and possess excellent programming skills. This position offers a market-leading pension scheme, outstanding health services, and a hybrid working model. The role is an opportunity to contribute to groundbreaking research while enjoying generous annual leave and employee benefits.

Benefits

Fantastic market leading Pension scheme

Excellent employee health and wellbeing services

Exceptional starting annual leave entitlement

Additional paid closure over the Christmas period

Local and national discounts at a range of major retailers

Qualifications

• Experience in analysis of big data, genetics, and modern 'omics'.
• Knowledge of recent developments in omics-based research.

Responsibilities

• Contribute to investigations on molecular underpinnings of complex cardiovascular diseases.

Education

University degree in computational biology, bioinformatics, statistical genetics or applied mathematics

Tools

Programming skills

Job description

Overview

This post creates an opportunity to further your career in big data analysis and complex cardiovascular diseases! We are looking for a holder of university degree in computational biology, bioinformatics, statistical genetics or applied mathematics and an experience in analysis of big data, genetics, and modern "omics". The post holder will contribute to investigations on molecular underpinnings of complex cardiovascular diseases as a part of the BHF Manchester Cardiovascular Research Centre. Excellent programming skills and knowledge of recent developments in omics-based research are essential.

previous candidates do not need to re-apply

What you will get in return

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

Equality and flexible working

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working - you can find out more here.

Hybrid working arrangements may be considered.

How to apply and contact

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any recruitment enquiries from recruitment agencies should be directed to [e-mail]. Any CV's submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Maciej Tomaszewski

Email: [e-mail]

General enquiries:

Email: [e-mail]

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.