Computational Biologist Jobs

Master's or PhD in physics, operations research, computer science, or electrical engineering (or equivalent experience)

Experience in solving complex computational problems using advanced operations research / computer science techniques, including decomposition algorithms, dynamic programming, heuristics, etc.

Experience in modeling, benchmarking and optimizing real-world industry problems

Strong programming skills (e.g., Python, Rust, C/C++)

Experience with high performance computing

Develop and expand high performance computing infrastructure to run computational experiments and simulations

Work with other scientists, clinicians, computational biologists, project managers, and external partners to accomplish our mission of curing diseases

Experience in Research & Development of discovery or translational programs

Entrepreneurial mindset, experience in startup environment preferred a plus

Work in a structure-based computationally driven drug discovery paradigm

Work with DepMap and other open data sources to drive our target identification workstreams

Iteratively scale, rethink, and collaborate on a drug discovery engine that will scale to hundreds of programs

Implement appropriate project management practices and frameworks to computational chemistry project

Write well-structured, informative, and easy-to-read documents to guide the team and share knowledge with stakeholders

Work with other scientists, clinicians, computational biologists, project managers, and external partners to accomplish our mission of curing diseases

3-5 years of experience in computational chemistry

Entrepreneurial mindset, experience in startup environment preferred a plus

Lead a team of 3+ Computational Chemists in running AI-enabled computational workflows for drug discovery

Proficiency in biological database management and the use of bioinformatics tools and software

Experience in data governance modeling

Experience working with HTS Omics sequencing data (Eg: RNAseq, scRNAseq, ISLAND, WES)

Experience supporting and working with cross-functional teams in a dynamic environment

Experience working with high-throughput sequencing data (RNAseq, scRNAseq, WES)

Extensive knowledge in applying machine learning and statistical modeling to biological datasets

Analyze data on the impact of existing or proposed management or public practices on biology resources

Conduct literature review to learn new statistical and programming skills relevant to research project

·Computational and analytical skills, including proficiency with R

·Excellent communication, advanced English reading, writing, listening and speaking skills

·Excellent presentational skills, capable of conveying technical information in a clear and thorough manner

·Excellent organizational skills with great attention to detail in coding practices

(d) Documented experience with omics data analysis and related bioinformatics tools and libraries.

(f) Excellent communication, advanced English reading, writing, listening, and speaking skills.

(b) Proficiency in Unix/Linux and in R/python.

(c) History of scientific authorship.

(i) NGS analysis (e.g. mutation calling, DNAseq/RNAseq)

(ii) Package development in R or Python (e.g. Bioconductor)

(d) Documented experience with omics data analysis and related bioinformatics tools and libraries.

(f) Excellent communication, advanced English reading, writing, listening and speaking skills.

(b) Proficiency in Unix/Linux and in R/python.

(c) History of scientific authorship.

Minimum of a Master's Degree in Computational Biology, Bioinformatics, Bioengineering or related sciences. PhD and post-doctoral experience preferred.

Documented experience with omics data analysis and related bioinformatics tools and libraries.

Excellent communication, advanced English reading, writing, listening and speaking skills.

GRED Research team is looking for a computational biologist/bioinformatician that can support them with developing Neoantigen prediction/prioritization algorithms.

Proficiency in Unix/Linux and in R/python.

Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more.

We value our people and our reputation

We are locally dedicated with international scale

We are future focused and challenge the status quo

We foster collaboration in everything we do

We have an empowering culture and hold ourselves accountable

· 8+ years of experience consulting in fisheries/aquatics and project management.

· Consulting skills: project management, client service, verbal and written communications, and business development skills.

o experience deriving management conclusions from data (for example through statistical, narrative-based, or qualitative approaches), and

· Conducting Project Management and managing client and regulatory communications.

o strong expertise and demonstrated experience engaging with fisheries-related challenges across western Canada,

o Experience utilizing a variety of tools to evaluate fish presence and habitat quality, including:

SCUBA experience or commercial dive certification.

5 to 10 years of progressive experience in marine biology.

Experience leading and conducting marine biology and/or ocean science programs.

Experience working with federal regulators on permits and authorizations.

Experience collaborating with Indigenous peoples.

Experience with offsetting and habitat compensation in the marine environment.

Practical experience with analog simulation, place & route engines, or various analog and discrete optimization methods

Program in Python and C++

Improve our current engines and develop new analysis and optimization engines

Integrate and connect these engines to our existing service and build the interfaces of our web applications

Write automated tests and debug customer problems

Academic background in linear algebra, calculus, computational geometry, statistics, control theory, optimization, numerical algorithms

Demonstrated knowledge in a wide range of computational chemistry methods

Demonstrated experience closely collaborating with experimental teams

Demonstrated experience in the use of molecular (Q-Chem, Gaussian, etc.) and/or solid-state (Siesta, VASP, etc.) DFT packages

Demonstrated experience using molecular dynamics simulations involving radical reactive intermediates, conformation sampling of molecules on surfaces, and/or reactive surface chemistry

Breadth of knowledge in computational methods ranging from molecular mechanics to highly-correlated electronic structure theory

Experimental knowledge in the areas of STM/AFM, organic synthesis, or nanosystems

Experience collaborating and/or consulting with First Nations on resource management issues.

Experience interpreting and applying natural resource management legislation and policy.

2 years of experience in each of the following, or a combination totaling 2 years:

Experience in conducting environmental monitoring and assessments.

Experience in field-based biological sampling, analysis and reporting.

Experience providing advice within a regulatory regime.

Demonstrated knowledge and experience in using remote sensing devices and capture-mark-recapture techniques to monitor mammal species in remote settings.

Considerable experience in coordinating and managing wildlife-related field projects in remote environments, using non-invasive and capture-mark-recapture methods.

Personal suitability in mentoring and the daily management of technicians and students.

Experience in coordinating and managing wildlife sample collection in a laboratory setting.

Demonstrated experience in data analyses using GIS and R software

Demonstrated experience in report writing, including peer-reviewed reports or publications.

At least 3 years of experience working in plant-microbe interactions

Experience with analytical techniques for measuring plant nutrition

Conducting lab experiments and greenhouse research project

Designing lab and greenhouse experiments

Collecting plant tissue samples and processing

Preparation of plant growth media, plant care, and data collection.

Report preparation and writing skills are required, along with a solid understanding of MS Office suite and remote work software.

Geochemistry, hydrology, hydrogeology, water quality effects assessment, water resource management, aquatic biology

Knowledge and experience in the following areas is an asset:

Candidates will be considered for working from a remote office (within BC, AB, YT).

Regulatory approvals, mining, consulting or EA / permitting,

Social justice issues, Indigenous communities and environmental ethics.

PhD, or MS + 3 years experience, in systems biology, genomics, cancer biology, or related discipline

Experience with single-cell RNA-seq data analysis and interpretation

Solid knowledge of cancer biology

Experience with drug screening data

Hybrid remote / onsite workplace

Familiarity with common bioinformatics, biostatistics and data analysis practices and tools

Develop, improve and maintain full-stack solutions for data management and storage in consultation with other developers

Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion

Excellent verbal and written communication skills

Comfortable working in a Unix environment, including experience with shell scripting and common command-line tools

Demonstrated interpersonal skills including the ability to work effectively with others in a team environment

Experience in HPC and cloud computing in an academic setting

Encourage cooperative management strategies to move project forward by providing information and interpreting findings for clients and agencies;

Working knowledge and field experience with Ontario Species at Risk field surveys an asset

Working knowledge of GIS (ESRI applications) an asset

Salary will be commensurate with experience

Maintain GIS information including geodatabases, original field data and base data;

Contribute and maintain project data using FRi’s standard file structure for project data in a consistent and timely manner;