The Lawniczak lab is seeking a highly motivated researcher with excellent computational and quantitative skills to fill a Computational Staff Scientist position. Our group is part of the both the Tree of Life Programme and the Parasites and Microbes Programme at the Wellcome Sanger Institute. We strive to do science and build genomic resources that deliver impact in important global problems like malaria and the rapid loss of biodiversity while also enhancing our understanding of evolution and genome biology.This position combines the opportunity to lead cutting edge science while also mentoring trainees and taking custodianship of the quantitative half of the lab. Our work ranges from single cell RNA sequencing data analysis of tens of thousands of individual malaria parasites to population genomic studies of tens of thousands of mosquitoes to building, analysing, and using high quality genome assemblies across the entire tree of life. In each of these areas we aim to innovate, developing excellent visual and analytical explorations of data for ourselves and the wider community as well as applying the best available existing tools for the questions at hand (and doing the evaluations to determine which those might be). The ideal candidate will have a wide-ranging skillset including conceiving of computational approaches that enhance our interpretation of the genomic data we generate, leading analyses and also training others to do so, and writing, publishing, and presenting results. Another primary part of the role is to offer general computational support for the team and the resources we generate, including on-boarding new members, helping to build and maintain a shared code base in collaboration with the core informatics support teams that exist in both the Tree of Life and the Parasites and Microbes programmes, keeping our interactive data resource websites up to date and user-friendly, and taking responsibility for team code repositories and data organisation.
Every project in the lab is collaborative but each has a primary leader. You will lead projects from conception to publication, including designing and executing experiments with the help of the wet lab team members. The role also has a strong mentorship component and we are looking for someone who is an able and willing teacher as you will also contribute substantial advice, training, and mentorship on projects that are led by MPhil and PhD students. Creativity and initiative are essential and the successful applicant will demonstrate dedication to leading while working collaboratively with a range of other scientists. We value diversity and we welcome applications from anyone regardless of their gender, age, race, sexual orientation, religion, disability, nationality, pregnancy or their requirement for part time or flexible working hours due to childcare or other commitments.This position offers the opportunity to work at one of the world’s leading genomic centres at the forefront of genomic research. You will have access to Sanger’s computational resources, including a 20000+ core computational cluster, the largest in life science research in Europe, and multiple petabytes of high-speed cluster file systems. Our group has a vibrant wet-lab and access to core facilities, where we generate our own data with the help of dedicated staff. This provides an exciting opportunity for you to not only analyse the data, but to be actively involved in the planning and execution of large-scale experiments and projects.
• PhD in statistics, bioinformatics, computational biology, genomics, population genetics, or other relevant area of quantitative analysis OR experience commensurate with a PhD.
• Good programming skills, preferably Python for scripting, data analysis, pipeline and tool development.
• Strong data visualization skills, preferably advanced knowledge of R ggplot or Python ggplot clone
• Proficiency in Unix/Linux operating system
• Experience with using compute cluster and batch queuing systems
• Experience with software version control systems
• Experience with managing and processing next-generation sequencing data
• Experience with pipelining/workflow engines and languages
• Excellent communication skills
• Ability to work together with wet lab biologists, providing analysis to inform experimental design and methods as well as data analysis of final results.
• Highly developed problem-solving skills and the ability to rapidly learn new skills
• Proficient in writing research manuscripts and reports
• Knowledge of a wide range of sequencing technologies and how each can be used to answer research questions
• Excellent grounding in evolutionary genomics, genome biology and population genetics
• Experience in single cell RNAseq analysis tools
• experience working with relational databases and SQL
• Good knowledge of statistics
• An interest in speciation and biodiversity
• An interest in global health
• Knowledge of genomics and molecular biology
• Previous experience with RNA sequencing data analysis
• Previous experience in creating finished software
• Full working proficiency in a compiled language (e.g. C, C++, D, Fortran)
• Previous experience with implementing–omics data analysis pipelines on a cluster
Closing date: 10th January 2020
To be considered for this role, please complete the application form and attach a cover letter addressing how you meet the criteria set out above.
The Wellcome Sanger Institute is a world leading genomics research centre. We undertake large-scale research that forms the foundations of knowledge in biology and medicine. Our findings are used to improve health and to understand life on Earth. Find out more at www.sanger.ac.uk or follow us on Twitter, Facebook, LinkedIn, Youtube and on our Blog.
Set across 130 acres, just outside of Cambridge, The Sanger Institute is located on the stunning Wellcome Genome Campus. Home to some of the world’s foremost institutes and organisations in genomics and computational biology, committed to delivering life-changing science with the reach, scale, and creativity to solve some of humanity’s greatest challenges.
There’s an attractive benefits package on offer at the Genome Wellcome Campus. 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.
As well as the usual benefits you would expect, we go much further:
• 25 days annual leave (extra 1 day to a maximum of 30 days for every year you work)
• Auto-enrolment into a generous Group Defined Contribution Pension Scheme, with enhanced company contribution (for more information, see our Pensions page)
• Up to 2 days annual paid volunteering leave
• Up to 10 days paid Emergency Carers Leave per year
• Family friendly environment including options for flexible and part-time working, an on-site Workplace Nursery salary Sacrifice Schemes for pre-school children and Summer holiday club
• Life Assurance Cover and a Group Income Protection Scheme (if on a contract of 12 months or more)
• Enhanced maternity leave and parental leave
• Access to substantial number of courses and training events onsite
• Private Healthcare Scheme (after 6 months service)
• Eyecare and Dental payment plans
• Concessions and discounts from our corporate perks site
Being part of the Genome Wellcome Campus you will be part of the beautiful working environment with an impressive range of benefits, services and facilities also including:
• Free bus service to and from Campus, covering various routes around Cambridge, Saffron Walden and surrounding villages
• A car-share initiative
• Free parking
• A number of on-site venues where you can meet, eat and socialise with colleagues
• A thriving Sports and Social Club which provides members with subsidised access to a gym, tennis courts, sports hall, fitness classes and a vibrant social calendar of events
Find out more about our Genome Wellcome Campus.
We hold an Athena SWAN Bronze Award and will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.