Computational Scientist

Pharmaceutical Company; Canada; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading pharmaceutical company is seeking a Computational Scientist with a PhD to analyze genome-scale data and improve healthcare outcomes. This role focuses on innovative research and requires strong programming and statistical skills. Candidates will collaborate with interdisciplinary teams to derive insights for oncology and contribute to the scientific community.

Qualifications

• PhD degree in a quantitative field or in the physical/life sciences with a strong quantitative focus.
• Proven track record of analyzing large-scale Perturb-seq/CROP-seq datasets.
• Strong publication record and experience contributing to research communities.

Responsibilities

• Collaborate with interdisciplinary teams including biologists, chemists, and data scientists.
• Analyze genome-scale perturbation data for insights in oncology.
• Contribute to the computational pipeline and scientific community.

Skills

Scientific programming in Python

Statistical modeling

Data analysis

Collaboration

Communication

Education

PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics, or related field

Job description

Pharmaceutical Company provided pay range

This range is provided by Pharmaceutical Company. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$55.00/hr - $62.00/hr

Direct message the job poster from Pharmaceutical Company

Sr. Technical Recruiter @ eTeam | Talent Acquisition and Recruitment

This role requires a deep understanding of computational methods for analyzing sequencing-based perturbation data (e.g. Perturb-seq, CROP-Seq), a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to analyze genome-scale perturbation data, as part of the high-profile FDFM Initiative, in collaboration with other computational scientists within gRED Computational Sciences (gCS), and our therapeutic area leads.

This data will be used to derive early insights for our Oncology portfolio, and will also feed the large-scale training of Perturbation Foundation Models, enabling a paradigm shift towards Lab-in-the-Loop exploration of perturbative biology. The candidate is also expected to contribute methods and software to a large community of computational scientists across gCS aiming to derive insights from large-scale perturbation datasets.

Key Responsibilities

• Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

• Work with computational leaders in gCS to derive insights for our oncology portfolio.

• Contribute to the broader scientific community through contributions to our computational pipeline.

Qualifications

• Educational Background: PhD degree in quantitative field (e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong quantitative focus.

o Proven track record of analyzing large-scale Perturb-seq/CROP-seq datasets

o Demonstrated interest in problems across biology and chemistry as applied to the discovery and development of treatments for disease.

o Proficiency in scientific programming in Python.

o Strong background in statistics, probabilistic modeling and data analysis.

• Soft Skills: Excellent communication, collaboration, and problem-solving skills.

• Publications: Strong publication record and experience contributing to research communities.

Preferred

• Multimodal data integration, in particular between multiple measurement modalities and/or clinical patient data

Please ensure you include github/public presentation of the candidate in the resume

This role is a remote role however must reside in Canada with the legal , in Canada

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Science and Research

• Industries

  Pharmaceutical Manufacturing

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