Colin Douglas.

colindougl.as/cv
me@colindougl.as
linkedin.com/in/colinddouglas

My name is Colin. I have a biochemistry-ish Ph.D. and I really like the R programming language. I’ve made a career of poking around in big data sets and telling stories that decision-makers find interesting.

EXPERIENCE

Canadian Digital Service

Halifax, NS (remote)
Senior Data Scientist, October 2025 - Present
Senior Data Advisor, October 2024 - October 2025

I currently work at the Canadian Digital Service, a small in-house team within the Government of Canada that helps other federal departments build simpler, more usable digital services for the public. We focus on the kinds of problems that show up again and again across government, rather than one-off projects.

I started out on the Business Enablement team. I helped the organization understand and talk about who it works with, and pitched in on organizing CDS’s internal data. I also helped run a data community of practice for the organization.

These days I work on CanadaLogin, the service replacing the Government of Canada’s legacy sign-in system. I help build and maintain the data pipelines that feed our analytics. I turn that data into fully automated Quarto-based reports and dashboards for partners and leadership, and forecast adoption, usage, and cost. I also support the legacy sign-in service CanadaLogin is replacing, helping that team with its own analytics and forecasting as the transition continues. A good chunk of the job, across both, is organizing our data and telling stories about it to the people making decisions.

Public Services and Procurement Canada

Ottawa, ON (remote)
Senior Data Scientist, February 2022 - October 2024
Data Scientist, November 2020 - February 2022

I was the primary data scientist for various incarnations of what was once called the Pay Administration Branch. I used the R programming language to help people understand whether the policies they were implementing were working.

I spent the first half of my tenure at Pay doing short- and medium-term time series modelling, on the scale of weeks to months. These forecasts fed into reporting upwards to the DM level and outwards to operational units. I provided guidance on things like resource determiniation, productivity metrics, and measuring the labour involved in individual pieces of work.

The second half of my time working at Pay, I used agent-based modelling to simulate the pay system and help forecast the long-term impact of certain policy and budget decisions. Although this was a modelling-heavy project, I also spent a lot of my time explaining my work to smart-but-not-technical people. My contributions were an important part of the Pay Program’s budget requests and consistently resulted in favourable funding decisions.

I also spent a lot of time advocating for the adoption of open source software (especially the R ecosystem) for making analyses reproducible. I have a lot of strong opinions on it and would love to talk to you about it! I have presented on the subject many times to many different government audiences, and you can see an example presentation here: Using R for Reproducible Reporting.

Precision Biologic Inc.

Dartmouth, NS
Research and Development Scientist
June 2017 - November 2020

I helped develop and clear two medical devices:

Faculty of Medicine, Dalhousie University

Halifax, NS
Killam Postdoctoral Research Fellow
April 2015 - May 2017

I studied mechanism-based inhibitors of enolase enzymes. In one project, I used multivariate non- linear curve fitting to suss out the different steps in an inhibition mechanism, and demonstrated that one molecule we worked with was the tightest known inhibitor of it’s target enzyme.

EDUCATION

University of Toronto, Toronto, ON
Ph.D., Biological and Organic Chemistry
Supervisor: Dr. Deborah Zamble
Thesis: Metal Specificity in [NiFe] Hydrogenase Maturation Proteins

St. Francis Xavier University, Antigonish, NS
B.Sc., Chemistry
Supervisor: Dr. Truis Smith-Palmer
Thesis: “Surface Enhanced Raman Spectroscopy of Microbiological Systems”

POSTERS, PRESENTATIONS, AND PAPERS


AWARDS AND RECOGNITION

2026 CDS Certificate of Recognition for “doing the hard work to make things easier”
2023 ADM Achievement Award, Pay Administration Branch
2021 ADM Achievement Award, HR-to-Pay Program Office
2015 - 2017 Killam Postdoctoral Fellowship, Dalhousie University
2010 - 2013 Alexander Graham Bell Scholarship, (CGS-D), NSERC
2009 - 2010 Alexander Graham Bell Scholarship, (CGS-M), NSERC
2005 - 2009 Philip W. Oland Scholarship, St. Francis Xavier University

OPEN SOURCE CONTRIBUTIONS

  description role
gcorg-resolver an API for resolving free-form Government of Canada organization names creator, maintainer
service-inventory-lookup tiny lookup tools for Government of Canada service IDs and program codes creator, maintainer
bcsxp an R package for reading ASCII data from Siemens BCS XP coagulation analyzers creator, maintainer
retrosheet an R package for importing historical baseball data from retrosheet.org maintainer

TECHNICAL STRENGTHS

some keywords for your ATS:

Data Science R, Python, SQL, time series forecasting, statistical analysis, agent-based modelling
Data Engineering & Analytics ETL and data pipelines, cloud infrastructure (AWS, Terraform), Quarto reporting and dashboards, automated report generation, web scraping
Biochemistry Molecular cloning, protein expression and purification, enzyme kinetics, structure-function
Clinical & Analytical Chemistry Coagulation, assay development and validation, FDA 510(k) program, regulation of medical devices