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Scientist
Job Description
Our client is seeking a highly skilled Scientist to join the Discovery Genomics team within Target Discovery & Biology (TD&B). This position offers the opportunity to contribute to innovative genomics research, supporting high-throughput data analysis, data management, and experimental workflows. The Scientist will play a key role in advancing projects through routine computational and laboratory support, ensuring data integrity and reproducibility. This role provides a platform for professional growth in a dynamic research environment, with potential to develop expertise in cutting-edge genomics technologies and data analysis pipelines.
Key Responsibilities:
- Support routine computational analysis of functional genomics and transcriptomics datasets using established internal pipelines and reporting systems.
- Assist with experimental registration, source sample tracking, and data management for NGS workflows to ensure data retention, visibility, and accessibility.
- Manage workflow and data entry within Benchling OEMS for pooled gene perturbation, amplicon-seq, bulk RNA-seq, and related NGS experiments.
- Process pooled genomic perturbation screen data, including raw FASTQ files, utilizing established NextFlow pipelines and internal gene-edited reporting systems.
- Support future arrayed perturbation screening efforts by executing established analytical pipelines once developed and implemented.
- Process Perturb-seq datasets from raw FASTQ files into count tables using established Cell Ranger workflows.
- Support bulk RNA-seq analyses by downloading data from CROs, processing samples through internal pipelines, and generating reports using standardized workflows.
- Assist with transcriptomic assessment of edited clones utilizing existing analysis pipelines.
- Collaborate closely with the manager and TD&B team to prioritize analyses, troubleshoot issues, and ensure timely project completion.
- Maintain organized documentation of analyses, inputs, outputs, and reports to support reproducibility, data integrity, and downstream interpretation.
Qualifications:
- Degree or experience in bioinformatics, computational biology, genomics, genetics, biology, data science, or a related discipline.
- Familiarity with NGS data types, including pooled gene perturbation screens, bulk RNA-seq, amplicon-seq, Perturb-seq, or related workflows.
- Experience executing established computational pipelines and managing structured data outputs.
- Knowledge of sequencing file formats and analysis outputs such as FASTQ files, count matrices, and NGS reports.
- Experience with sample tracking systems, Benchling, or similar data management platforms.
- Proficiency working in Unix/Linux environments and cloud platforms, including AWS, is a plus.
- Basic scripting skills in R, Python, or shell scripting are preferred.
- Strong attention to detail, with a focus on data integrity, reproducibility, and thorough documentation.
- Ability to work independently on routine analyses, with proactive communication to project teams and managers.
- Excellent written and verbal communication skills, with a collaborative approach in cross-functional research settings.
Work Location:
Onsite - Cambridge, MA
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