We advance molecules that embrace the complexity of disease. We’re a neobiotech whose work spans dozens of collaborations with large pharma and biotech as well as several joint ventures. We are a passionate team of biotech and pharma professionals, biologists, chemists, and computer scientists who live and labour at the intersection of our collective expertise. To learn more about Cyclica please visit www.cyclicarx.com.
Equal Opportunity
Cyclica is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. Cyclica recruits, employs, trains, compensates and promotes regardless of race, colour, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by provincial and/or federal law.
Accommodations for candidates with disabilities are available on request during all aspects of the recruitment and selection process. If accommodation is needed during the recruitment and selection process, please contact us at careers@cyclicarx.com and we will work with you to meet your accessibility needs.
Why work at Cyclica?
Cyclica owes its success to its team of highly motivated and talented individuals. We pride ourselves on enabling our employees to succeed by fostering their skills, interests, and creativity. Our people and culture are important to us, that’s why we offer a wide range of benefits to support our team members:
Work from Anywhere
Flexible Work Arrangements
Employee Stock Options
Paid Vacation Days
Two (1) Week Company Shutdowns (Summer and Winter Holidays)
Unlimited Wellness Days
Corporate Wellness Program
Health, Dental and Vision Benefits
Retirement Matching Program
Parental Leave Top-Up Plan
The Job
In expanding our Machine Learning team, we are seeking a Computational Scientist with expertise in a relevant field of the Life Sciences, including: Genomics, Systems Biology, Biochemistry, Molecular Biology, Proteomics or Bioinformatics. Computational Scientists develop new scientific functionality; visualizations; datasets, interactive analysis tools; enhance ML models with new data or algorithms; and evaluate the quality of predictions. They are experts in their scientific domain and skilled programmers. This position is open to Ph.D. graduates that have experience working on projects applying computational approaches to genomics. The successful candidate is expected to (i) have a strong understanding of bioinformatics and/or ; (ii) have solid experience in performing statistical analysis to large or complex datasets; (iii) be a skilled programmer in Python; (iv) have an enthusiastic, flexible mindset towards varied types of projects. The successful candidate will receive guidance and mentorship from existing staff scientists with similar technical skill sets.
The successful candidate will be responsible for identifying commercial opportunities for predictive target discovery and drug discovery applications from large institutional databases, including data exploration, data engineering, model feasibility, prototyping, building business cases for new products and general planning.
What will you be doing?
Collaborate with peer computational scientists and software developers on tasks related to data content exploration, including local database setup, exploration, content analysis, visualization, etc.
Datamine large industry biomedical databases to identify commercially-relevant opportunities within, specifically related to target discovery or drug design initiatives.
Compile reports for partners and collaborators.
Sanitize, curate, and verify dataset integrity for new commercial applications.
Prepare required documentation, including case studies or manuscripts to support new data products or models.
Disseminate results of projects to staff scientists as well as non-scientific staff when necessary.
Preparing validation notes or publication manuscripts.
Remain up to date on trends in computational biology and methodology used to explore genomics and target discovery.
Write production-quality code in accordance with company standards.
Our Stack:
Google Cloud Platform
Ubuntu Server
Python
Django / PostgreSQL
Gitlab
Must Haves
A Ph.D. in any related discipline in Life Sciences
One or more peer reviewed publications demonstrating proficiency in Computational Science or Bioinformatics.
A general understanding of modern computational techniques in Bioinformatics, such as differential gene expression analysis and pathway enrichment analysis.
A general understanding of system biology.
2+ years experience with Python, including knowledge of best practices
