Scientist, Computational Biology

bit.bio

Closing Date: 01/08/2022

Apply Now- https://boards.eu.greenhouse.io/bitbio/jobs/4046335101

Scientist, Computational Biology

at Bit Bio

Cambridge, UK

bit.bio is an award-winning spinout from the University of Cambridge. Our breakthrough technology combines synthetic and stem cell biology for the precise, efficient and consistent reprogramming of human cells used in research, drug discovery, and cell therapy. At bit.bio, we are passionate about engineering human cells that will enable the medicine of the future. To do this we need talented and curious people who want to make an impact on the future of science and therapeutics.

As a team of individuals, we value science, collaboration, openness, curiosity and creativity. We are united by trust and respect for each other.

Location: Babraham Research Park, Cambridge

Type: Full time, permanent /

Start: Immediate

Salary: Competitive / Hours: 40 p/w

Office based position with home working flexibility

Your role in our team:

We are seeking a highly motivated Scientist to join our expanding Bioinformatics team. You will be joining a highly collaborative team of computational biologists with diverse skill sets who work together to lead decisions and analysis in discovery and characterisation of reprogrammed cell lines. This is an opportunity to join one of the best stem cell reprogramming scale-ups and conduct research with a real-world impact

Your key responsibilities will include:

• Working collaboratively with the wider computational biology team and experimental stem cell scientists.

• Contributing to the design and execution of our ambitious research programmes for uncovering core transcriptional programs that define human cell types.

• Performing computational analyses and reporting of results in the area of genomics.

• Development and deployment of tools to facilitate data interpretation by laboratory scientists

You…

• Have a PhD in computational biology or a related field with a strong bioinformatics (genomics/transcriptomics) component; or equivalent experience

• Enjoy tackling research challenges through critical thinking, scientific rigour and inventiveness.

• Are detail-oriented with strong organisational skills for tracking data and recording downstream analysis

• Enjoy working in a dynamic team environment and are comfortable working to tight timelines and managing workload and priorities

With essential experience in…

• Analysis and interpretation of transcriptomic (bulk and/or single cell RNAseq) data or large high-throughput genome sequencing datasets (including WGS, ATACseq, WGBS).

• Good knowledge of bioinformatics tools, resources and public databases.

• Proficient in R and/or python

• Working knowledge of statistical approaches in data science.

• Ability to clearly communicate requirements for and results of bioinformatics analyses to wet lab biologists.

• Solid biological knowledge and interest, and familiarity with laboratory experimental design

...and possibly....

• Bioinformatic app development

• Experience in analysing genomic data from engineered (stem) cell lines

• Amplicon NGS analysis

• Experience with version control

More reasons to join us:

bit.bio provides a vibrant and dynamic work environment in an exciting, fast-moving time for biology. We work with cutting edge technologies and with our world-leading scientific advisory board. We conduct pioneering work with real-world impact.

We trust our people to make significant contributions early on with opportunities to be involved in projects that are key to the success and growth of our young company. We invest in people, creating opportunities for personal development in an inclusive multi-skilled team with ambitious goals that provide opportunities to learn on the job from each other.

Creativity and open minds are encouraged for everyone to contribute to the success of the company.

For information on how we will manage your data please see our Candidate Privacy Notice-

https://www.bit.bio/candidate-privacy-notice