What are the responsibilities and job description for the Scientific Manager I position at Excelra Inc.?
Job Details
Job Summary
Excelra is seeking a highly skilled and motivated Scientific Manager I with strong expertise in bioinformatics and omics data analysis to join our Bioinformatics division. The ideal candidate will have a deep understanding of multi-omics integration, computational pipeline development, and statistical modeling, and will play a key role in designing and executing analytical strategies to address complex biological questions.
Key Responsibilities
- Lead and execute projects involving omics data (e.g., scRNA-seq, ATAC-seq, RNA-seq, WGS, ChIP-seq, exome sequencing, genome annotation).
- Build and optimize computational pipelines/packages to support genomics data analysis, biomarker discovery, drug repurposing, patient stratification, disease modeling, and data integration.
- Analyze and integrate omics datasets (genomics, transcriptomics bulk and single cell, proteomics, etc.).
- Collaborate with cross-functional teams, including PhD-level scientists, to drive innovation in data-driven research and hypothesis generation.
- Present scientific results and hypotheses to both internal and external stakeholders in a clear and actionable manner.
- Write research papers, reports, and summaries, contributing to knowledge generation and scientific communication.
- Stay current with advancements in the field, incorporating new methods and tools as appropriate.
Qualifications
- Master s degree with 3 5 years of industry experience in Bioinformatics, Computational Biology, Computer Science, or a related field.
- Proven track record in omics data analysis (NGS, scRNA-seq, WGS, etc.) and downstream interpretation.
- Deep expertise in programming/scripting using R (including package development, dplyr, Shiny, R Markdown, data simulation), Python, Perl, and Bash.
- Solid understanding of statistical methods and machine learning approaches, with experience in simulations and novel statistical modeling.
- Familiarity with bioinformatics tools, databases, and workflow management systems such as Docker and Nextflow.
- Background in population genomics, including GWAS, eQTL/pQTL analysis, and WES/WGS data.
- Experience with Linux environments, cloud computing platforms (AWS/Google Cloud Platform), and relational databases (Postgres, MySQL, Oracle).
- Skilled in using version control systems such as GitHub.
- Strong communication and collaboration skills with an ability to work effectively in cross-functional teams.
- Scientific curiosity and the ability to generate innovative, data-driven hypotheses.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $150,000 - $160,000
