Chris Rands
Director, Oncology Data Science
Cambridge, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolChris Rands is a Director of Oncology Data Science based in Cambridge with nine years’ experience building multi-omics platforms and analytic programs for drug discovery at AstraZeneca. He combines hands-on bioinformatics (DPhil in Computational Genomics) with team leadership, running a small multinational group that delivers scalable omics analytics and agentic tooling for oncology portfolios. His background spans academic single-cell and metagenomics research to embedded bioinformatics roles in public institutes, giving him a strong track record translating complex genomics science into production-ready workflows. An active contributor to the Biopython project, he has improved core sequence-manipulation utilities and addressed tricky issues like unhashable SeqRecords—evidence of practical open-source engineering paired with domain expertise.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (DPhil) Computational Genomics, Doctor of Philosophy (DPhil) Computational Genomics at University of OxfordBachelor of Science (BSc) Biological Sciences, Bachelor of Science (BSc) Biological Sciences at University of Sussex
Stackoverflow
76reputation
13kreached
1answer
1question
Github Skills (15)
bioinformatics10
biopython10
sequence-alignment10
python10
algorithms8
algorithm8
data-structures8
data-structure8
unit-testing7
excel-dna6
wpf6
genomics6
sql6
tsql6
proteins5
Programming languages (13)
Github contributions (5)
biopython/biopython
Jul 2017 - Sep 2021
Official git repository for Biopython (originally converted from CVS)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 77 commits, 53 PRs in 4 years 2 months
Contributions summary:Chris primarily contributed to the implementation of new methods and functionalities within the Biopython library, focusing on sequence manipulation and analysis. Their work includes adding the `.count_overlap()` method to several sequence classes (Seq, UnknownSeq, and MutableSeq), enhancing existing counting methods, and adding integer multiplication methods. Furthermore, the user addressed issues related to unhashable SeqRecords, and improved code efficiency within the codebase.
git-repositoryphylogeneticspythondnagenomics
chris-rands/emojify
Mar 2017 - Mar 2020
Contributions:1 release, 41 commits, 1 PR in 3 years
emojipythonobfuscateemoji-iconspython-script
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