Python Intern for Precision Medicine and Cancer Genomics
About Cambridge Cancer Genomics (CCG): We are a leading precision medicine start-up, creating intelligent software to enable oncologists to monitor response to cancer therapy in near real-time. Our team uses applied bioinformatics, machine learning, genomics, and the experience of our associated oncologists and surgeons to bring low invasive 'liquid biopsies' to cancer clinics worldwide. We are deep in the stages of R&D with clinical partnerships in California, the UK and Singapore, where we are working to understand the clinical consequences of tumour evolution during treatment. We have completed two tranches of fundraising; first from a large Cancer Centre and the prestigious Y Combinator accelerator program and later by top UK and Silicon Valley investors, and are now focused on growing quickly.
People who join us range from academics at leading research labs at the Universities of Oxford and Cambridge (and others) to ambitious young developers and machine learning engineers. Joining CCG means joining an incredibly talented and motivated group of people that share our vision of pioneering an industry. Work at CCG is incredibly varied and we challenge ourselves daily. We work all over the world and often travel and socialize together. You'll often find us chatting through interesting problems over a coffee or beer. We are looking for people who will fit into our diverse, supportive and stimulating company team culture, who like to overcome challenges and drive the company forwards.
About the role: We are looking for an individual with a strong foundational understanding of Python. This internship will expose the successful candidate to hands on experience with cutting edge biology data and will form as a good introduction to statistical modelling and machine learning techniques.
Main duties and responsibilities: The successful candidate will be working close to our expert machine learning and data science team to improve our existing ctDNA data pipelines.
Essential skills and qualifications: " ~ 3 years of programming experience with Python " Desire to learn more about biology and genomics " Ability to work concurrently on multiple projects " Ability to work independently to tight deadlines " Good communication to both technical and non-technical team members " Willing to learn and be open to criticism
Desired skills and qualifications: " Working knowledge of versioning systems such as Git " Experience in scalable cloud platforms (AWS) " Knowledge of statistical tests and modelling " Test driven development " R programming " Experience with Docker
Key details: Competitive salary.
Other benefits include: " Working on world-changing technology with leaders in the field " Dynamic, innovative, passionate, entrepreneurial team " Inclusive company culture " Flexible hours (outside of core hours) " Additional employee benefits
As a team, we are committed to working together to positively impact the daily lives of cancer patients. We enjoy solving complex problems, thinking around corners and bouncing forwards through learning. Most of all we care about each other and the mission we're on together. We believe that a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or your secret aversion to cucumber water. All you need is a passion and a desire to be part of our mission. Experience in cancer biology and biotechnology are not required - all you need is a passion and a desire to be part of our mission.
Preferred start date: ASAP Duration: 3 months Location: Cambridge, UK
Please send a CV and 300-word cover letter to hannah[@]ccg.ai to apply.