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Scientist

The Steely Group

Cambridge, MA

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Analysis Skills, Bioinformatics, Biology, Cloud Computing, Communication Skills, Contract Research Organization (CRO), Cross-Functional, Data Analysis, Data Entry, Data Management, Data Quality, Data Science, Data Sets, Detail Oriented, Documentation, Editing, Establish Priorities, Functional Analysis, Genetics, Genomics, High Throughput, Identify Issues, Leading Edge Technology, Linux Operating System, OEM (Original Equipment Manufacturer), Organizational Skills, Presentation/Verbal Skills, Problem Solving Skills, Python Programming/Scripting Language, R Programming Language, Reporting Skills, Sales Pipeline, Scripting (Scripting Languages), Structured Data, Team Player, Time Management, Unix Operating Systems, Unix Shell Programming, Writing Skills
LOCATION
Cambridge, MA
POSTED
1 day ago

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

About the Company

T

The Steely Group

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