Post Doc Research Scientist – Computational Biology/Bioinformatics

Job description

Post Doc Research Scientist - Computational Biology/Bioinformatics

We are seeking a Post-doctoral researcher with proven track record in one or more of our core focus areas to join the IBM Research team in UK. As part of the IBM research team, you will engage in a number of industrial and academic collaborations to be a part of cutting edge, industrially relevant, high-impact research projects. The role provides you an opportunity to develop interdisciplinary, translational research programs for UK life sciences industry. You will be expected to work in an interdisciplinary environment and contribute to high quality publications, public engagements, and commercialisation of the resulting digital assets.

The ideal candidate will have a PhD in fields such as Computational Biology, Bioinformatics, Biology, Biostatistics, Computer science (with focus on statistical modelling, distributed computing, advanced visualization techniques), or related disciplines. The candidate is expected to have a background in application of computational techniques for understanding omics datasets and should have a relevant list of publications to support their candidacy. The desired focus areas for this post are –
·  Applied bioinformatics with programming skills, and/or
·  Development and application of statistical techniques in context of omics datasets, and/or
·  Adaptation of distributed emerging technologies like Spark, Hadoop, NoSQL for life sciences research, and/or
·  Advanced visualization techniques and analytics for life sciences research
This role provides an opportunity to be a part of world's leading industrial research organization and contribute to a diverse range of cross-cutting scientific disciplines. You will be a part of a growing research team at IBM Research UK. IBM Research UK is located within the Hartree Centre at the Sci-Tech Daresbury Laboratory (STFC) at Warrington where the role is based.

The desired skills and experience for the post are
·  PhD in Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics or similar discipline
·  Knowledge of commonly used bioinformatics tools, file formats, data standards, and databases
·  Experience of working on omics datasets
·  Experience applying statistical techniques, modelling and machine learning approaches for inference and prediction in context of biological datasets
·  Intermediate programming skills in Python, R, C++, Shell scripts etc.
·  Experience with data visualization libraries and tools like D3.js, Blender, Python libraries etc.
·  Experience of working on distributed platforms and databases like Spark, Hadoop, Neo4j, MongoDB etc.
·  Experience working on collaborative interdisciplinary research programs
·  Effective communication skills and a team player.
Auto req ID

122168BR
Required Education

Doctorate Degree
Role ( Job Role )

Postdoctoral Researcher
State / Province

CHESHIRE
Primary job category

Research
Contract type

Regular
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

Up to 10% or 1 day a week
IBM Business Group

Research
Preferred Education

Doctorate Degree
City / Township / Village

WARRINGTON
EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

·  PhD in Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics or similar discipline
·  Knowledge of commonly used bioinformatics tools, file formats, data standards, and databases
·  Experience of working on omics datasets
·  Experience applying statistical techniques, modelling and machine learning approaches for inference and prediction in context of biological datasets
·  Intermediate programming skills in Python, R, C++, Shell scripts etc.
·  Experience with data visualization libraries and tools like D3.js, Blender, Python libraries etc.
·  Experience of working on distributed platforms and databases like Spark, Hadoop, Neo4j, MongoDB etc.
·  Experience working on collaborative interdisciplinary research programs
·  Effective communication skills and a team player.
Country/Region

United Kingdom
Preferred Technical and Professional Experience

None
Eligibility Requirements

Eligibility to work in the UK and EU
Position Type

Professional
New Collar Role

No