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We Are Hiring! 

Position: Research Associate- Proficient in Immunohistochemistry and Stereology

Dr. Cecilia Flores' laboratory is looking for a research associate or research assistant who has skills and expertise in neuroanatomy and immunohistochemistry (IHC). The candidate should also have proficiency in wet laboratory methods and techniques and good understanding in the analysis of biological samples. 
 

Tasks:
-Conduct immunohistochemistry and imaging analysis

-Perform tissue sample processing and cryosection for histological analysis.

-Optimize and execute IHC protocols, including antigen retrieval, blocking, antibody incubation, signal detection, and visualization.

-Employ stereological principles to perform unbiased sampling and quantification of three-dimensional biological structures.

-Operate microscopes and imaging systems for acquiring high-resolution images and conduct image analysis using appropriate software.

-Analyze experimental data, generate statistical reports, and contribute to the interpretation and presentation of research findings.

-Assist in training junior laboratory personnel on experimental techniques and safety procedures. 

Required Qualifications and Skills:
EducationMaster of Science (M.Sc.) or relevant demonstrated laboratory experience
Immunohistochemistry (IHC): Proficient in IHC procedures, including tissue sample processing, antigen retrieval, blocking, primary antibody incubation, signal detection, and visualization techniques.

Neuroanatomical analysis: Knowledge of stereological principles and methodologies, including tissue sectioning, probe design, unbiased sampling, stereological calculations, and estimation of three-dimensional biological structures.

Laboratory Techniques: Skilled in histological sample preparation, cryosection, microtome operation, immunofluorescence staining, microscopy, image analysis, and data interpretation.

Research Methodologies: Experienced in designing and executing experiments, data collection, troubleshooting technical issues, and maintaining accurate experimental records.

Data Analysis: Experience using statistical software and image analysis tools to analyze and interpret experimental data, generate graphs, and prepare scientific reports and presentations.

Quality Control: Strong adherence to quality control procedures, ensuring accuracy, reproducibility, and consistency of experimental results.

Team Collaboration: Excellent interpersonal skills, fostering effective communication and collaboration with team members, researchers, and laboratory staff.

Laboratory Safety: Committed to maintaining a safe and clean laboratory environment, following standard operating procedures (SOPs), and ensuring compliance with safety regulations.

Required Abilities:

-Excellent interpersonal, written, and verbal communication skills

-Ability to prioritize multiple tasks and meet deadlines

-Strong attention to detail and organizational skills

-Capacity to work in a multidisciplinary team in a fast-paced, result-oriented environment

-Legally able to work in Canada

Location: Douglas Research Center

Work Schedule: Full-time (Monday-Friday, 35 hours/week)

Instructions for Submitting Application: To apply, please send your resume, cover letter, and any relevant publications/GitHub projects to sehar.gul2@mail.mcgill.ca and Cc Dr. Cecilia Flores at cecilia.flores@mcgill.ca

 

Position: Biostatistician 

Are you passionate about utilizing your statistical expertise to advance neuroscience research? Dr. Flores’ lab is seeking a skilled and motivated biostatistician to join our dynamic neuroscience lab. As a biostatistician, you will play a crucial role in designing experiments, analyzing complex neuroscience datasets, and providing statistical insights that contribute to ground-breaking discoveries in the field.

Tasks:

-Collaborate with neuroscientists and researchers to design experiments and implement and apply appropriate statistical models and multivariate analyses to extract meaningful information from complex datasets.

-Conduct comprehensive statistical analyses of diverse neuroscience datasets, including behavioral assays, and transcriptomics (i.e., gene expression analysis of diverse RNA biotypes). 

-Perform quality control procedures, data preprocessing, and feature extraction techniques specific to neuroscience data.

-Interpret and present statistical findings in a clear and accessible manner to interdisciplinary teams, contributing to scientific discussions and research publications.


Required Qualifications and Skills:
Education:
 
Bachelor’s degree in statistics or biostatistics, life sciences, computer science or a related field 

-Master of Science (M.Sc.) in a related field is an asset or relevant demonstrated experience

-Strong knowledge of statistical theory, methodologies, and multivariate analysis with a focus on applications in biology and neuroscience.

-Proficiency in programming languages commonly used in neuroscience, such as R, Python, or MATLAB. 

-Familiarity with neuroscientific principles, experimental design, and data collection techniques.

-Demonstrated experience with data analysis and visualization.

Data Analysis Skills:  handling and processing large and complex datasets

Programming Skills: Proficiency in programming languages commonly used in neuroscience, such as Python, R, or MATLAB to analyze, and visualize data effectively.

Knowledge of Software and Tools:  Proficiency in using tools for data visualization and reproducible research, such as Jupyter notebooks or R Markdown. Additionally, knowledge and familiarity with GitHub is an asset.


Required Abilities:

-Ability to work independently and in a team-oriented environment, managing multiple projects simultaneously.

-Strong communication skills to effectively collaborate with student and researchers.

-Ability to handle and analyze large and complex neuroscience datasets.

-Excellent problem-solving and critical-thinking skills.

-Effective communication skills to collaborate with interdisciplinary teams and present complex statistical findings to a broad audience.

-Attention to detail, accuracy, and ability to meet deadlines.


Location: Douglas Research Center

Work Schedule: Flexible: Hourly

Instructions for Submitting Application: To apply, please send your resume, cover letter, and any relevant publications/GitHub projects to sehar.gul2@mail.mcgill.ca and Cc Dr. Cecilia Flores at cecilia.flores@mcgill.ca

News

Congratulations to Del on finishing his Masters!

Congratulations to Jose Maria on his Thesis Seminar!

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Coming Up: Canadian College of Neuropsychopharmacology Annual 45th Meeting 

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More news!

February 2023: Congratulations to Radu for his latest publication in Journal of Psychiatry Neuroscience! 

March 2023: Congratulations to Ashraf for his latest publication in Frontiers in Neural Circuits! 

May 2023: Congratulations to Alice on being one of the winners for The International Congress on Academic Medicine poster award! 

July 2022: Jose Maria's latest paper to be published in Biological Psychiatry: Global Open Science is now in press! Novel functional genomic approaches bridging psychiatry and neuroscience.

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