Postdoctoral Fellow- Computational Biology and Machine Learning

Sanger; United Kingdom; On-site; GBP 43,000 - 50,000; Full time

Job summary

A prestigious research institution in the United Kingdom is seeking a Senior Postdoctoral Fellow to deliver independent research projects in advanced statistical techniques and machine learning. The ideal candidate will have a PhD, a strong knowledge of Python and its libraries, and the ability to engage with diverse stakeholders. The role offers a competitive salary range of £43,650 - £49,156 and an attractive benefits package that promotes work-life balance, along with flexible working options.

Benefits

Work-life balance support

Flexible working policy

Family and carer-friendly policies

Qualifications

• Strong knowledge of statistical techniques and machine learning.
• Proven ability to develop effective working relationships.
• Commitment to personal development and updating of knowledge.

Responsibilities

• Deliver research projects independently.
• Engage with stakeholders to influence project outcomes.
• Present ideas and results effectively in groups.

Skills

Python programming

Machine learning

Statistical analysis

Data integration

Education

PhD or on track to be awarded PhD

Tools

Scikit-Learn

SciPy

TensorFlow

PyTorch

Git

Job description

PhD in relevant subject area, or on track to be awarded your PhD within 6 months of starting the role Proven ability to deliver research projectsExperience in advanced statistical techniques, machine learning and modern deep learning techniquesExperience with single-cell omics, spatial transcriptomics, or large-scale biological data integrationKnowledge of Python, including core-data science libraries such as Sci-Kit-Learn, SciPy, TensorFlow and PyTorchKnowledge of software development good practices and collaboration tools, including git-based version control, python package management and code Proven ability to develop and maintain effective working relationships with wide range of persons of differing level, abilities and knowledge Team player with the ability to work with others in a collegiate and collaborative environment Ability to effectively communicate ideas and results and present orally to groupsCommitment to personal development and updating of knowledge and skillsAbility to priortise, multi-task and work independently organizational and problem-solving skills * Strong knowledge of Python, including core data science libraries such as Scikit-Learn, SciPy, Tensorflow and PyTorch* Proven experience using advanced statistical statistical techniques, machine learning and modern deep learning techniques* Proven ability to work independently and deliver research projects* Relevant solid publication record in either machine learning or application of machine learning in biology* Strong influencing skills to engage with internal and external stakeholders* Critical and analytic thinking around problems* Demonstrable good time management and project management skills**Senior Postdoctoral Fellow -** ****£43,650 - £49,156****Sanger Institute became a signatory of the International Technician Commitment initiative In March 2018. The aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines.### BenefitsWe offer an attractive benefits package at the Wellcome Sanger Institute. We appreciate the importance of achieving work-life balance and support this with a number of family and carer-friendly policies. Plus a flexible working policy for those who may wish to amend their working pattern or arrangement.