Scientist, Research Scientist, Data Scientist

Payrate: $35.00 - $37.00/hr.

This Contract Scientist will report to a Principal Scientist in the Discovery Genomics team of Target Discovery & Biology (TD&B). This role will support higher throughput, improved data management, and faster turnaround for projects analyzed within the TD&B group.

• 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-based workflows to ensure data retention, visibility, and accessibility.
• Manage workflow and data entry in 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, using established Next Flow pipelines and internal gene‑edited reporting systems.
• Support future arrayed perturbation screening efforts by running established analytical pipelines once developed and implemented.
• Process Perturb‑seq datasets by converting raw FASTQ files into count tables using established Cell Ranger workflows.
• Support bulk RNA‑seq routine by downloading data from CROs, processing samples through the internal bulk RNA‑seq pipeline and generating reports using established RNA‑seq reporting workflows.
• Assist with transcriptomic assessment of edited clones using existing analysis pipelines.
• Partner closely with the manager and TD&B team members to prioritize analyses, troubleshoot routine issues, and ensure timely project completion.
• Maintain organized records of analyses, inputs, outputs, and reports to support reproducibility, data integrity, and downstream interpretation.

• Degree or experience in bioinformatics, computational biology, genomics, genetics, biology, data science, or related discipline.
• Familiarity with NGS data types, including pooled gene perturbation screens, bulk RNA‑seq, amplicon‑seq, Perturb‑seq, or other functional genomics workflows.
• Experience running established computational pipelines and working with structured data outputs.
• Familiarity with sequencing file formats and analysis outputs, including FASTQ files, count matrices, and standard NGS reports.
• Experience with Benchling, sample tracking systems, or other experimental registration/data management platforms.
• Experience working in Unix/Linux environments and cloud‑based computing platforms, including AWS, is preferred.
• Basic programming or scripting experience in R, Python, or shell scripting is preferred.
• Strong attention to detail and commitment to data integrity, reproducibility, and documentation.
• Ability to work independently on routine analyses while communicating regularly with the manager and project teams.
• Strong written and verbal communication skills, with the ability to collaborate effectively in a cross‑functional research environment.

• Ability to run established computational workflows and pipelines
• Diligence and organization for metadata entry
• Ability to execute on a list of tasks without close supervision

Equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, or disability.