Alyssa Pyclik
@alyssapyclik
Experienced computational biologist specializing in multi-omics data analysis.
What I'm looking for
I am a motivated computational biologist with a strong background in single-cell and bulk RNA sequencing analysis, bioinformatics development, and therapeutic target discovery, particularly in the field of cell and gene therapy for oncology. With 3+ years of experience delivering data-driven insights across cross-functional teams, I thrive in a fast-paced start-up biotech environment.
Throughout my career, I have developed computational strategies related to target discovery and cell & gene therapy for the treatment of acute myeloid leukemia (AML). I have built an internal database of open-source multi-omics datasets and designed computational tools to assess the therapeutic potential of targets for multiplex editing. My commitment to continuous exploration of new computational tools enhances the scientific process, and I take pride in presenting my research findings to diverse audiences, ensuring that my work contributes to the broader scientific community.
Experience
Work history, roles, and key accomplishments
Senior Associate Scientist
Vor Bio
Jan 2025 - May 2025 (4 months)
Led analysis of reverse-translational sequencing data to support clinical drug product characterization. Designed customized analysis workflows to expedite the processing and delivery of results for experimental sequencing data.
Associate Scientist II
Vor Bio
Jan 2023 - Jan 2025 (2 years)
Led computational analysis of CRISPR/Cas9-based in-vivo and ex-vivo translational studies. Built an internal database of open-source multi-omics datasets for cross-functional research application.
Computational Biologist Co-op
Vor Bio
Jul 2022 - Dec 2022 (5 months)
Developed and designed an R Shiny application to analyze and visualize AML -omics data. Built a Docker image to securely share the application internally and ensure reproducibility.
Education
Degrees, certifications, and relevant coursework
Northeastern University
Master of Science, Bioinformatics
Focused on advanced topics in bioinformatics with a specialization in genomics. Gained expertise in analyzing complex biological data, including next-generation sequencing.
Syracuse University
Bachelor of Science, Biology
Completed a comprehensive curriculum in biology, building a strong foundation in life sciences. Developed analytical and research skills essential for scientific inquiry.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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