While working on data analytics portfolio projects, I'm also looking for a health or pharmaceutical data scientist role to progress further in the field. Specifically, I'm very keen about working on either research and development (R & D) or clinical data analytics, or I'm also open and versatile to work on both at the same time, e.g. two different data science projects in parallel, where one's on R & D and the other one is on the clinical side. I've worked at least around 10-15 years clinically as a pharmacist, which granted me with an abundant amount of experience to work on clinical data science relating to therapeutic drugs or health in general. I've also spent around 5 years during that time working on postgraduate research, so I'm also interested in working on R & D data science in the health and pharmaceutical sectors. My portfolio blog showcases a variety of data analytics projects, which can be accessed at jhylin.github.io/Data_in_life_blog/.
๐ Nationality | ๐ณ๐ฟ New Zealand |
๐ก Residency | ๐ณ๐ฟ New Zealand |
๐ Location | ๐ณ๐ฟ New Zealand |
Remote OK | rok.co/@jhylin |
๐ Website | jhylin.github.io/Data_in_life_blog/ |
GitHub | jhylin |
X | jenhylin |
https://www.linkedin.com/in/jennifer-hy-lin-a9b86981/ | |
Skilled in | r tidyverse ggplot python polars pandas numpy machine learning scikit learn sql tableau excel data analytics registered pharmacist quality use of medicines pharmaceutical knowledge clinical pharmacy pharmacodynamics pharmacokinetics medicinal chemistry organic chemistry computational chemistry molecular modelling cadd |
Fluent in | englishmandarin |
Preferred timezone | +12 |
Preferred annual pay (min) | $75,000/year |
Last seen | 1 year ago |
Signed up | 1 year ago |
Badges |
๐ฉโ๐ป Remote worker ๐จ Maker ๐ Early adopter |
2021 - 2022: Locum pharmacist @ Unichem Spitfire Square Pharmacy
2021 - Now: Freelance data scientist @ Freelance
2019 - 2020: Clinical pharmacist @ Christchurch Hospital Pharmacy
2012 - 2019: Clinical pharmacist @ Calvary Healthcare Kogarah
2023 - 2023: Small molecules in ChEMBL database - ML in drug discovery series 1
2023 - 2023: Small molecules in ChEMBL database - ML in drug discovery series 2
2023 - 2023: Pills dataset - Part 1
2023 - 2023: Pills dataset - Part 2
2023 - 2023: Pills dataset - Part 3
2022 - 2022: Phenotypes associated with rare diseases
2022 - 2022: Natural history of rare diseases - malformation syndrome
2022 - 2022: Drugs in rare diseases (Python version)
2022 - 2022: Drugs in rare diseases (R version)
2022 - 2022: Long COVID - an update
2022 - 2022: Small molecules in ChEMBL database
2022 - 2022: Molecular similarities in selected COVID-19 antivirals
2015 - 2019: PhD @ University of Sydney
2012 - 2014: MPhil @ University of Sydney
2003 - 2006: BPharm @ University of Otago