Bioinformatics Data Analyst Position for Predictive Modeling

3 days ago

Jaipur, Rajasthan, India beBeeData Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Job Title: Scientist - Bioinformatics Data Curation

Transform Biology with AI-Powered Insights

At Synlico Inc., we are transforming biology by leveraging causality to make cellular processes explainable, predictable, and engineerable.

Our platform employs machine learning & deep learning, causal discovery & inference, and single-cell bioinformatics. We unravel the causal relationships between cells' intracellular activities and their responses in patients' heterogeneous microenvironments.

Cell modulation prediction is a key application of our technology, which has a broad range of potential vertical applications in drug discovery, including target identification, therapy design, manufacturing, and biomarker discovery.

Seeking a scientist to conduct searches in public databases, 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.

  • Conduct searches in public genomic databases (GEO, CellXGene, HumanCell Atlas).
  • Distinguish different functional genomics technologies and biological experimental methodologies to match our 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.
Requirements:

Ph.D graduate in computational biology, bioinformatics, single-cell biology, genomics, immunology, biomedical engineering, or a related field.

  • Strong technical focus and knowledge of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing.
  • Proficiency in the 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 the 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 a given time frame.
  • Good command of English speaking and writing.

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