
Data Scientist for Cellular Process Discovery
1 week ago
Unlock Cellular Processes
">Synlico Inc is at the forefront of transforming biology by leveraging causality to make cellular processes explainable, predictable and engineerable.
Our AI platform employs machine learning & deep learning causal discovery & inference and single-cell bioinformatics. Our unique approach lies in unraveling the causal relationships between cells' intracellular activities and their responses in patients' heterogeneous microenvironment predicting how cell modulation alters its behavior in patients.
We are seeking a Scientist Bioinformatics Data Curation to conduct searches in public databases and distinguish different functional genomics technologies and biological experimental methodologies. The role involves validating and entering accurate datasets ensuring data consistency and optimizing database structure for smooth information flow.
Job Responsibilities:
- Conduct searches in public genomic databases GEO CellXGene HumanCell Atlas.
- Distinguish different functional genomics technologies and biological experimental methodologies to match company needs.
- Understand necessary dataset qualifications.
- Enter matching datasets to the database accurately with utmost attention.
- Validate cross-check new datasets to avoid duplicates or problems.
- Optimize database structure to optimize information flow.
Required Skills and Qualifications:
- Ph.D graduate in computational biology bioinformatics single-cell biology genomics immunology biomedical engineering or related field.
- Strong technical focus and knowledge of genomics molecular biology and technologies such as qPCR and next-generation sequencing.
- Demonstrated proficiency in analysis of large-scale transcriptomics data especially scRNA-seq.
- Experience identifying outliers for gene expression and splicing from RNA-seq data.
- Experience working with relevant genomic databases and browsers and their annotations.
- Proficiency in Git operations.
- Strong coding and visualization skills using Python or R.
- Experienced in data wrangling using pandas or tidyverse.
- Skilled in Linux command-line interface CLI operations.
- Attention to Detail: Ability to ensure accuracy and spot discrepancies or duplications for data entry and validation.
- Dig to the bottom: Ability to track down correct data source and not be dissuaded by obstacles or incomplete information.
- Critical Thinking: Ability to assess analyze and question information critically is essential.
- Consistency: Ability to deliver steady and reliable results in given time frame.
- Good command of English speaking and writing.
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