Data Science and Pharmacokinetic Modeling Scientist

Maternity leave – 12 months minimum.

About Us:

Eupraxia Pharmaceuticals Inc. (Eupraxia) is a clinical-stage biotechnology company focused on developing locally delivered, extended-release products that can potentially address therapeutic areas with high unmet medical needs. The Company strives to improve patient benefit and has developed technology that delivers targeted, long-lasting activity with fewer side effects. Diffusphere, a proprietary, polymer-based micro-sphere technology, facilitates targeted drug delivery with an extended duration of effect and offers multiple, highly tuneable PK profiles. The technology can be used with multiple active pharmaceutical ingredients and delivery methods.

Eupraxia's lead product candidate, EP-104IAR, recently completed a Phase 2b clinical trial for the treatment of pain due to osteoarthritis of the knee. EP-104IAR met its primary endpoint and three of the four secondary endpoints. The EP-104 platform has expanded into gastrointestinal disease and has initiated a Phase 1b/2a program to treat EoE. Eupraxia is also developing a pipeline of later- and earlier-stage long-acting formulations. Potential pipeline indications include candidates for both other inflammatory joint indications and oncology, each designed to improve the activity and tolerability of currently approved drugs. For further details about Eupraxia, please visit the Company's website at www.eupraxiapharma.com.

We are looking for people who would like to be part of a fast-paced, growing company that fosters a creative spirit and integrated teamwork and who are eligible to work in Canada or the USA.

Job Description:

Eupraxia is dedicated to advancing healthcare through innovation and data-driven decision-making. We are seeking a highly skilled and experienced Data Science and Pharmacokinetic Modeling Scientist to cover a maternity period of not less than 12 months to maintain and evolve our programs designed to deliver appropriate, robust and defensible data in a readily understandable manner. They will also be responsible for preparing and maintaining related documentation for relevant due diligence exercises, ensuring the content is comprehensive and structured to make the most complex issues and analyses accessible to lay personnel. In addition to performing standard pharmacokinetic analyses, this person will be responsible for leveraging advanced inferential tools and pharmacokinetic modeling to drive strategic insights and competitive intelligence.

Reports to: Chief Science Officer

Key Responsibilities:

• Lead and oversee the development and application of pharmacokinetic models to optimize drug development processes.
• Perform standard pharmacokinetic analysis of non-clinical and clinical data.
• Provide expert statistical and data modeling advice in designing and reviewing analysis and reporting plans for pre-clinical and clinical programs.
• Create models that tie pharmacokinetic data to efficacy and safety endpoints.
• Collaborate with cross-functional teams to integrate pharmacokinetic insights into overall drug development strategies.
• Interact with regulatory authorities to resolve data and modeling issues relating to the design, analysis and reporting of pre-clinical and clinical studies used in regulatory submissions.
• Design and implement visualizations to communicate complex data in a clear and actionable manner.
• Utilize cutting-edge visualization tools to present findings to internal stakeholders and external partners.
• Build and maintain relationships with professionals and organizations in the Pharma/Bioscience industry.
• Maintain an ongoing comprehensive analysis of developments in the pharmaceutical environment.
• Provide strategic insights and recommendations based on competitive intelligence to guide and influence the entirety of internal programs.

Requirements:

• A master’s or PhD in mathematics, statistics, pharmacometrics, data science, or a related field.
• Proven experience in pharmacokinetic modeling and data visualization, preferably in the pharmaceutical industry.
• Experience with skills for pharmaceutical formulation development, such as pharmacokinetic modeling, experiment design, and the use of ordinary and partial differential equations for formulation design, is an asset.
• High proficiency and strong hands-on experience with the programming language R, specifically in relation to creating graphs with ggplot2 and using other packages like plyr to analyze and manipulate data, are essential.
• Expertise in other programming languages, such as Python, and domain-specific tools, such as NONMEM, is an asset.
• Strong analytical and problem-solving skills with a creative mindset.
• Ability to handle and derive insights from complex datasets.

Preferred Qualifications and Expertise:

• Experience in the pharmaceutical industry; familiarity with non-clinical and clinical research is an asset, as in the ability to translate from one to the other.
• Worked in a small to medium-sized biotech, a plus.
• Familiarity with competitive intelligence practices.
• Publications or patents demonstrating contributions to the field.
• Excellent analytical and planning skills.
• Excellent verbal and written communication skills, including presentation skills.
• Ability to work independently and collaboratively, as required, in a fast-paced, matrixed team environment consisting of internal and external team members.
• Analytical thinker with excellent problem-solving skills and the ability to adapt to changing priorities and deadlines.
• Ability to interact effectively at all levels and across different cultures.
• Skilled in managing employees and external partners in a team environment.
• Excellent business and budget-planning skills.
• Demonstrated skills in negotiation and facilitation.
• Knowledge of change management.
• Excellent verbal, written and executive presentation skills.

Additional attributes:

• Ability to maintain a high level of confidentiality.
• Self-motivated and self-directed.

Salary Range: CAD$ 90,000 – 110,000 annually

Within the posted range, individual pay is determined by job-related skills, relevant experience, education and/or training. Please note that the range details above reflect the base pay only. A bonus will be available based upon performance and remaining in post for the agreed contract duration. We also have a competitive benefits package on offer.

This is an opportunity to work in a small, entrepreneurial, and highly motivating environment, with a strong emphasis on work/life balance and a supportive company culture.

Job Types: Full-time, Fixed term contract
Contract length: 12 months

Pay: $90,000.00-$110,000.00 per year

Additional pay:

• Bonus pay

Benefits:

• Dental care
• Disability insurance
• Extended health care
• Life insurance
• Paid time off

Schedule:

• Monday to Friday

Experience:

• Machine learning: 1 year (preferred)

Work Location: Hybrid remote in Victoria, BC V8R 5G4